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Tag #scalability

3391 papers:

ASPLOSASPLOS-2020-MinBLNK #architecture #effectiveness #named #performance
CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing (DM, IB, GhL, SN, JK), pp. 449–464.
CCCC-2020-FegadeW #analysis #data type #modelling #pointer #semantics #using
Scalable pointer analysis of data structures using semantic models (PF, CW), pp. 39–50.
CCCC-2020-ThakurN #context-sensitive grammar
Mix your contexts well: opportunities unleashed by recent advances in scaling context-sensitivity (MT, VKN), pp. 27–38.
CGOCGO-2020-KangCP #framework #named #performance #precise
PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems (SK, KC, YP), pp. 280–292.
CGOCGO-2020-WangYZM #hardware #memory management #performance #transaction
Efficient and scalable cross-ISA virtualization of hardware transactional memory (WW, PCY, AZ, SM), pp. 107–120.
EDMEDM-2019-ChenLFG #online #predict #student #tutorial
Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues (GC, DL, RF, DG).
EDMEDM-2019-ChristieJOT
Machine-Learned School Dropout Early Warning at Scale (STC, DCJ, LAO, TTT).
ICPCICPC-2019-LevyF #comprehension #perspective
Understanding large-scale software: a hierarchical view (OL, DGF), pp. 283–293.
ICPCICPC-2019-WenNBL #consistency #empirical #nondeterminism
A large-scale empirical study on code-comment inconsistencies (FW, CN0, GB, ML), pp. 53–64.
ICSMEICSME-2019-LevinY #dataset #source code
Processing Large Datasets of Fined Grained Source Code Changes (SL, AY), pp. 382–385.
ICSMEICSME-2019-Wright #lessons learnt #refactoring
Lessons Learned from Large-Scale Refactoring (HW), p. 366.
MSRMSR-2019-GoteSS #git #mining #named #network #repository
git2net: mining time-stamped co-editing networks from large git repositories (CG, IS, FS), pp. 433–444.
MSRMSR-2019-Owhadi-KareshkN
Scalable software merging studies with MergAnser (MOK, SN), pp. 560–564.
MSRMSR-2019-PimentelMBF #quality
A large-scale study about quality and reproducibility of jupyter notebooks (JFP, LM, VB, JF), pp. 507–517.
MSRMSR-2019-Rua0S #android #energy #metric #named #testing
GreenSource: a large-scale collection of Android code, tests and energy metrics (RR, MC0, JS), pp. 176–180.
SANERSANER-2019-FengMYXBWWTXSLH #open source
Open-Source License Violations of Binary Software at Large Scale (MF, WM, ZY, YX, GB, WW, SW, QT, JX, HS, BL, WH), pp. 564–568.
SANERSANER-2019-WlodarskiPPFZ #exclamation #legacy
Qualify First! A Large Scale Modernisation Report (LW, BP, IP, JF, VZ), pp. 569–573.
SCAMSCAM-2019-PaixaoM #code review #empirical #harmful #overview
Rebasing in Code Review Considered Harmful: A Large-Scale Empirical Investigation (MP, PHMM), pp. 45–55.
SCAMSCAM-2019-TiwariPG0 #analysis #android #named #web
LUDroid: A Large Scale Analysis of Android - Web Hybridization (AT, JP, SG, CH0), pp. 256–267.
FMFM-2019-SuP0 #network
Controlling Large Boolean Networks with Temporary and Permanent Perturbations (CS, SP, JP0), pp. 707–724.
CoGCoG-2019-AmarTAM #multi #towards
Towards Cheap Scalable Browser Multiplayer (YA, GT, GA, LM), pp. 1–4.
CoGCoG-2019-KantharajuOG #monte carlo #recognition
Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search (PK, SO, CWG), pp. 1–8.
FDGFDG-2019-Poor #community #game studies #online #product line
Building and sustaining large, long-term online communities: family business and gamifying the game (NP), p. 12.
CIKMCIKM-2019-BoiarovT #learning #metric #recognition
Large Scale Landmark Recognition via Deep Metric Learning (AB, ET), pp. 169–178.
CIKMCIKM-2019-ChenMLZM #dataset #named #web
TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions (JC, JM, YL, MZ0, SM), pp. 2485–2488.
CIKMCIKM-2019-FanBSL #classification #fine-grained #network #prototype
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features (MF, YB, MS, PL0), pp. 2353–2356.
CIKMCIKM-2019-FanHZLLW #learning #named
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data (MF, JH, AZ, YL, PL0, HW), pp. 2655–2663.
CIKMCIKM-2019-KangM #generative #recommendation
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation (WCK, JJM), pp. 1523–1532.
CIKMCIKM-2019-LvJYSLYN #named #online #recommendation
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (FL, TJ, CY, FS, QL, KY, WN), pp. 2635–2643.
CIKMCIKM-2019-WuH #network
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy (JW, JH), pp. 2101–2104.
CIKMCIKM-2019-XuHY #graph #learning #network
Scalable Causal Graph Learning through a Deep Neural Network (CX, HH, SY), pp. 1853–1862.
CIKMCIKM-2019-ZhaoPZZWZXJ #distributed #graph #visual notation
Large-Scale Visual Search with Binary Distributed Graph at Alibaba (KZ, PP, YZ, YZ, CW, YZ, YX, RJ), pp. 2567–2575.
ICMLICML-2019-AndertonA #approach
Scaling Up Ordinal Embedding: A Landmark Approach (JA, JAA), pp. 282–290.
ICMLICML-2019-BackursIOSVW #clustering
Scalable Fair Clustering (AB, PI, KO, BS, AV, TW), pp. 405–413.
ICMLICML-2019-ChenXHY #named #problem
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number (ZC, YX, HH, TY), pp. 1102–1111.
ICMLICML-2019-ChenYWLYLL #multi
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching (ZC, ZY, XW, XL, XY, GL, LL), pp. 1112–1121.
ICMLICML-2019-CornishVBDD #dataset
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets (RC, PV, ABC, GD, AD), pp. 1351–1360.
ICMLICML-2019-FongLH #multimodal #parametricity
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap (EF, SL, CCH), pp. 1952–1962.
ICMLICML-2019-JangJ #clustering #performance #towards
DBSCAN++: Towards fast and scalable density clustering (JJ, HJ), pp. 3019–3029.
ICMLICML-2019-KurachLZMG #normalisation
A Large-Scale Study on Regularization and Normalization in GANs (KK, ML, XZ, MM, SG), pp. 3581–3590.
ICMLICML-2019-MagnussonAJV
Bayesian leave-one-out cross-validation for large data (MM, MRA, JJ, AV), pp. 4244–4253.
ICMLICML-2019-OglicG #kernel #learning
Scalable Learning in Reproducing Kernel Krein Spaces (DO, TG0), pp. 4912–4921.
ICMLICML-2019-ShiK0 #modelling #network
Scalable Training of Inference Networks for Gaussian-Process Models (JS, MEK, JZ0), pp. 5758–5768.
ICMLICML-2019-TanL #named #network
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (MT, QVL), pp. 6105–6114.
ICMLICML-2019-TiomokoCBG #estimation #matrix #metric #random
Random Matrix Improved Covariance Estimation for a Large Class of Metrics (MT, RC, FB, GG), pp. 6254–6263.
ICMLICML-2019-UurtioBR #analysis #canonical #correlation #kernel
Large-Scale Sparse Kernel Canonical Correlation Analysis (VU, SB, JR), pp. 6383–6391.
ICMLICML-2019-XieCJZZ #on the #performance
On Scalable and Efficient Computation of Large Scale Optimal Transport (YX, MC, HJ, TZ, HZ), pp. 6882–6892.
KDDKDD-2019-0009ZGZNQH #framework #graph #named #recommendation
IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (JZ0, ZZ, ZG, WZ0, WN, GQ, XH), pp. 2347–2357.
KDDKDD-2019-AroraC0KLLMTTW
Hard to Park?: Estimating Parking Difficulty at Scale (NA, JC, RK0, IK, YL, HJL, AM, AT, IT, YW), pp. 2296–2304.
KDDKDD-2019-Chang #clique #graph #performance
Efficient Maximum Clique Computation over Large Sparse Graphs (LC), pp. 529–538.
KDDKDD-2019-ChiangLSLBH #algorithm #clustering #graph #named #network #performance
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (WLC, XL, SS, YL0, SB, CJH), pp. 257–266.
KDDKDD-2019-FoucheKB #algorithm #multi
Scaling Multi-Armed Bandit Algorithms (EF, JK, KB), pp. 1449–1459.
KDDKDD-2019-HwangLVGXN #framework #video
Large-Scale Training Framework for Video Annotation (SJH, JL, BV, AG, ZX, AN), pp. 2394–2402.
KDDKDD-2019-LiX #data mining #mining #named #privacy
PrivPy: General and Scalable Privacy-Preserving Data Mining (YL, WX), pp. 1299–1307.
KDDKDD-2019-MaZXLCXWW #comprehension #framework
Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework (XM, LZ, LX, ZL, GC, ZX, YW, ZW), pp. 2403–2411.
KDDKDD-2019-MonathKKGM #clustering
Scalable Hierarchical Clustering with Tree Grafting (NM, AK, AK, MRG, AM), pp. 1438–1448.
KDDKDD-2019-MoosaviS00R
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data (SM, MHS, AN0, SP0, RR), pp. 2905–2913.
KDDKDD-2019-PasumarthiBWLBN #library #named #ranking
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (RKP, SB, XW, CL0, MB, MN, JP, NG, RA, SW), pp. 2970–2978.
KDDKDD-2019-RamanSMZYV #hybrid #parallel
Scaling Multinomial Logistic Regression via Hybrid Parallelism (PR, SS, SM, XZ, HY, SVNV), pp. 1460–1470.
KDDKDD-2019-Ramdas
Foundations of Large-Scale Sequential Experimentation (AR), pp. 3211–3212.
KDDKDD-2019-Sundaresan #developer
From Code to Data: AI at Scale for Developer Productivity (NS), p. 3175.
KDDKDD-2019-TangBMLLK #classification #e-commerce #image #named
MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data (YT, FB, SM, YL, YL, SK), pp. 2518–2526.
KDDKDD-2019-Thondikulam #approach #ml
Analytics Journey Map: An Approach Enable to ML at Scale (GT), p. 3167.
KDDKDD-2019-TranS #feature model #predict
Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs (TQT, JS), pp. 2857–2866.
KDDKDD-2019-WuYZXZPXA #graph #kernel #random #using
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding (LW, IEHY, ZZ0, KX, LZ0, XP0, YX, CCA), pp. 1418–1428.
KDDKDD-2019-YangZZX0 #adaptation #capacity #incremental #learning #modelling
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (YY, DWZ, DCZ, HX, YJ0), pp. 74–82.
KDDKDD-2019-YinW #graph
Scalable Graph Embeddings via Sparse Transpose Proximities (YY, ZW), pp. 1429–1437.
KDDKDD-2019-ZhangLTDYZGWSLW #graph #named #towards
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (FZ, XL, JT, YD, PY, JZ, XG, YW, BS, RL, KW), pp. 2585–2595.
KDDKDD-2019-ZheSX #community #detection #network
Community Detection on Large Complex Attribute Network (CZ, AS, XX), pp. 2041–2049.
ECOOPECOOP-2019-VillazonSRRBDOB #automation #multi #program analysis
Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper) (AV, HS, AR, ER, DB, ID, SO, WB), p. 27.
OOPSLAOOPSLA-2019-KrikavaMV #scala #using
Scala implicits are everywhere: a large-scale study of the use of Scala implicits in the wild (FK, HM, JV), p. 28.
OOPSLAOOPSLA-2019-SongLO #automation #detection #fault #functional #logic #programming
Automatic and scalable detection of logical errors in functional programming assignments (DS, ML, HO), p. 30.
PLDIPLDI-2019-ChibotaruBRV #specification
Scalable taint specification inference with big code (VC, BB, VR, MTV), pp. 760–774.
PLDIPLDI-2019-SmolkaKKFHK0 #network #probability #verification
Scalable verification of probabilistic networks (SS, PK0, DMK, NF, JH, DK, AS0), pp. 190–203.
PLDIPLDI-2019-VasilakisKPSDS #named
Ignis: scaling distribution-oblivious systems with light-touch distribution (NV, BK, YP, JS, AD, JMS), pp. 1010–1026.
ASEASE-2019-ChenD0Q #comprehension #debugging
Understanding Exception-Related Bugs in Large-Scale Cloud Systems (HC, WD, YJ0, FQ), pp. 339–351.
ASEASE-2019-ChenHLZHGXDZ #online
Continuous Incident Triage for Large-Scale Online Service Systems (JC, XH, QL, HZ, DH, FG, ZX, YD, DZ), pp. 364–375.
ASEASE-2019-DavisMKL #metric #regular expression #testing
Testing Regex Generalizability And Its Implications: A Large-Scale Many-Language Measurement Study (JCD, DM, AMK, DL), pp. 427–439.
ASEASE-2019-ZamanHY #concurrent #fault #named
SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces (TSZ, XH, TY), pp. 515–526.
ASEASE-2019-ZhengLZLZD #detection #feedback #named #online #realtime
iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems (WZ, HL, YZ, JL, HZ, YD), pp. 352–363.
ESEC-FSEESEC-FSE-2019-AsthanaKBBBMMA #automation #named
WhoDo: automating reviewer suggestions at scale (SA, RK0, RB, CB, CB, CSM, SM, BA), pp. 937–945.
ESEC-FSEESEC-FSE-2019-BabicBCIKKLSW #generative #named
FUDGE: fuzz driver generation at scale (DB, SB, YC, FI, TK, MK, CL, LS, WW), pp. 975–985.
ESEC-FSEESEC-FSE-2019-BagherzadehK #big data #developer #what
Going big: a large-scale study on what big data developers ask (MB, RK), pp. 432–442.
ESEC-FSEESEC-FSE-2019-DurieuxDMA #debugging #empirical #java #overview #program repair #tool support
Empirical review of Java program repair tools: a large-scale experiment on 2, 141 bugs and 23, 551 repair attempts (TD, FM, MM, RA), pp. 302–313.
ESEC-FSEESEC-FSE-2019-Fu #analysis #distributed #on the
On the scalable dynamic taint analysis for distributed systems (XF), pp. 1247–1249.
ESEC-FSEESEC-FSE-2019-He #comprehension #source code
Understanding source code comments at large-scale (HH), pp. 1217–1219.
ESEC-FSEESEC-FSE-2019-MaddilaBN #case study #predict
Predicting pull request completion time: a case study on large scale cloud services (CSM, CB, NN), pp. 874–882.
ESEC-FSEESEC-FSE-2019-Zhang0C0Z #compilation #empirical #fault #integration
A large-scale empirical study of compiler errors in continuous integration (CZ, BC0, LC, XP0, WZ), pp. 176–187.
ICSE-2019-CrucianiMVB #reduction #testing
Scalable approaches for test suite reduction (EC, BM, RV, AB), pp. 419–429.
ICSE-2019-FanWS0ZZ #detection #memory management #named
Smoke: scalable path-sensitive memory leak detection for millions of lines of code (GF, RW, QS, XX0, JZ, CZ), pp. 72–82.
ICSE-2019-Ketkar0MDA #migration
Type migration in ultra-large-scale codebases (AK, AM0, DM, DD, EA), pp. 1142–1153.
ICSE-2019-PhilipBKMN #named #online
FastLane: test minimization for rapidly deployed large-scale online services (AAP, RB, RK0, CSM, NN), pp. 408–418.
ASPLOSASPLOS-2019-GaoYPHK #data flow #named
TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators (MG, XY, JP, MH, CK), pp. 807–820.
ASPLOSASPLOS-2019-JiangSF0 #approach #parallel
Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach (LJ, XS, UF, ZZ0), pp. 79–92.
ASPLOSASPLOS-2019-KimMKRM #multi #named
MV-RLU: Scaling Read-Log-Update with Multi-Versioning (JK, AM, SK, MKR, CM), pp. 779–792.
ASPLOSASPLOS-2019-ZhangZWLFZS #framework #performance
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure (XZ, XZ, ZW0, QL0, JF, YZ, YS), pp. 93–105.
CASECASE-2019-KrupkeSHPDGLSHK #automation #distributed #retrieval
Automated Data Retrieval from Large-Scale Distributed Satellite Systems (DK, VS, AH, MP, JD, BG, MKBL, ES, TH, HK, KFP, MC, CS, SPF), pp. 1789–1795.
CASECASE-2019-RiaziDFBL #flexibility #scheduling
Scheduling and Routing of AGVs for Large-scale Flexible Manufacturing Systems (SR, TD, PF, KB, BL), pp. 891–896.
CASECASE-2019-WangJRH #image #realtime #using
Real-time control for large scale additive manufacturing using thermal images (FW, FJ, KR, NH), pp. 36–41.
CASECASE-2019-WarsewaBRST #design #distributed #using
Decentralized and Distributed Observer Design for Large-Scale Structures using Dynamic Condensation (AW, MB, PR, OS, CT), pp. 1256–1262.
CCCC-2019-ThakurN #analysis
Compare less, defer more: scaling value-contexts based whole-program heap analyses (MT, VKN), pp. 135–146.
CADECADE-2019-Tammet #knowledge base #named #reasoning
GKC: A Reasoning System for Large Knowledge Bases (TT), pp. 538–549.
ICSTICST-2019-JendeleSCJR #automation #composition #performance
Efficient Automated Decomposition of Build Targets at Large-Scale (LJ, MS, DC, IJ, MR), pp. 457–464.
ICSTICST-2019-SaumyaK0B #automation #generative #testing #worst-case
XSTRESSOR : Automatic Generation of Large-Scale Worst-Case Test Inputs by Inferring Path Conditions (CS, JK, MK0, SB), pp. 1–12.
ICSTICST-2019-ZhongZK #named #testing #web #web service
TestSage: Regression Test Selection for Large-Scale Web Service Testing (HZ, LZ, SK), pp. 430–440.
VMCAIVMCAI-2019-LopesR #performance #simulation
Fast BGP Simulation of Large Datacenters (NPL, AR), pp. 386–408.
ECSAECSA-2018-BuchgeherWH #architecture #automation #framework #platform
A Platform for the Automated Provisioning of Architecture Information for Large-Scale Service-Oriented Software Systems (GB, RW, HH), pp. 203–218.
ECSAECSA-2018-MartiniFBR #architecture #case study #identification #smell
Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company (AM, FAF, AB, RR), pp. 320–335.
ICSAICSA-2018-GuptaUBDRF #framework #platform
The Anatomy of a Large-Scale Experimentation Platform (SG, LU, SB, PAD, PR, AF), pp. 1–10.
ICSAICSA-2018-LiuBDKRRSH #automation #execution #framework #simulation #workflow
A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows (JL, EB, CD, PK, DSR, MR, DS, VH), pp. 145–155.
EDMEDM-2018-ChenLCBC #analysis #behaviour #learning
Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams (WC, ASL, DC, CGB, MC).
ICPCICPC-2018-ScarsbrookKR0 #debugging #javascript #named #visualisation
MetropolJS: visualizing and debugging large-scale javascript program structure with treemaps (JDS, RKLK, BR, DB0), pp. 389–392.
ICSMEICSME-2018-AghajaniNBL #api #empirical
A Large-Scale Empirical Study on Linguistic Antipatterns Affecting APIs (EA, CN0, GB, ML), pp. 25–35.
MSRMSR-2018-CohenC08 #analysis #developer #git #repository
Large-scale analysis of the co-commit patterns of the active developers in github's top repositories (EC, MPC), pp. 426–436.
MSRMSR-2018-NayrollesH #clone detection #detection #fault #industrial #metric #named
CLEVER: combining code metrics with clone detection for just-in-time fault prevention and resolution in large industrial projects (MN, AHL), pp. 153–164.
MSRMSR-2018-SahaLLYP #dataset #debugging #java
Bugs.jar: a large-scale, diverse dataset of real-world Java bugs (RKS, YL, WL, HY, MRP), pp. 10–13.
MSRMSR-2018-WangLL0X #android #empirical #game studies #why
Why are Android apps removed from Google Play?: a large-scale empirical study (HW, HL, LL0, YG0, GX), pp. 231–242.
SANERSANER-2018-KirbasCHCB0B #fault #industrial
The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract) (SK, BC, TH, SC, DB, AS0, AB), p. 471.
SANERSANER-2018-LeemansAB18a #analysis #mining #process #statechart #using
The Statechart Workbench: Enabling scalable software event log analysis using process mining (ML, WMPvdA, MGJvdB), pp. 502–506.
CoGCIG-2018-AungBDCKYW #dataset #learning #predict
Predicting Skill Learning in a Large, Longitudinal MOBA Dataset (MA, VB, AD, PIC, AVK, CY, ARW), pp. 1–7.
ICGJICGJ-2018-WirmanJ
Regional Character at a Large-Scale Jam: GGJ Hong Kong 2013-2018 (HW, RJ), pp. 48–51.
CIKMCIKM-2018-AfsharPPSHS #dataset #named
COPA: Constrained PARAFAC2 for Sparse & Large Datasets (AA, IP, EEP, ES, JCH, JS), pp. 793–802.
CIKMCIKM-2018-ANR #algorithm #generative #higher-order #using
A Scalable Algorithm for Higher-order Features Generation using MinHash (PA, NN, RR), pp. 1213–1222.
CIKMCIKM-2018-DingZB0 #graph #privacy
Privacy-Preserving Triangle Counting in Large Graphs (XD, XZ, ZB, HJ0), pp. 1283–1292.
CIKMCIKM-2018-Elghandour0OV #incremental #query
Incremental Techniques for Large-Scale Dynamic Query Processing (IE, AK0, DO, SV), pp. 2297–2298.
CIKMCIKM-2018-LiLAL #industrial #multi #named
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU (HL0, KL, JyA, KL0), pp. 1113–1122.
CIKMCIKM-2018-LinmansVK #detection #robust #semantics #using #web
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions (JL, BvdV, EK), pp. 1647–1650.
CIKMCIKM-2018-NidzwetzkiG #big data #multi
BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data (JKN, RHG), pp. 1867–1870.
CIKMCIKM-2018-RepkeKEHHKSSZ #corpus #email #interactive
Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora (TR, RK, JE, MH, JH, DK, HS, NS, AZ), pp. 1871–1874.
CIKMCIKM-2018-WangYWJZZW #data mining #graph #mining #named
AceKG: A Large-scale Knowledge Graph for Academic Data Mining (RW, YY, JW, YJ, YZ, WZ0, XW), pp. 1487–1490.
CIKMCIKM-2018-ZhangNCC #database #parallel #probability #using
Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases (YZ, KSN, TC, PC), pp. 2213–2221.
ICMLICML-2018-0001ZK #constraints #privacy #summary
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints (EK0, MZ, AK), pp. 2549–2558.
ICMLICML-2018-AghazadehSLDSB #feature model #named #sketching #using
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches (AA, RS, DL, GD, AS, RGB), pp. 80–88.
ICMLICML-2018-AgrawalUB #graph #modelling
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models (RA, CU, TB), pp. 89–98.
ICMLICML-2018-Alabdulmohsin #empirical #optimisation
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization (IMA), pp. 149–158.
ICMLICML-2018-CalandrielloKLV #graph #learning
Improved Large-Scale Graph Learning through Ridge Spectral Sparsification (DC, IK, AL, MV), pp. 687–696.
ICMLICML-2018-ChenLW #learning #using
Scalable Bilinear Learning Using State and Action Features (YC, LL0, MW), pp. 833–842.
ICMLICML-2018-ChoromanskiRSTW #architecture #evolution #optimisation #policy
Structured Evolution with Compact Architectures for Scalable Policy Optimization (KC, MR, VS, RET, AW), pp. 969–977.
ICMLICML-2018-EspeholtSMSMWDF #architecture #distributed #named
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures (LE, HS, RM, KS, VM, TW, YD, VF, TH, ID, SL, KK), pp. 1406–1415.
ICMLICML-2018-EvansN #process
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) (TWE, PBN), pp. 1416–1425.
ICMLICML-2018-FalknerKH #named #optimisation #performance #robust
BOHB: Robust and Efficient Hyperparameter Optimization at Scale (SF, AK, FH), pp. 1436–1445.
ICMLICML-2018-GibsonG #modelling #robust
Robust and Scalable Models of Microbiome Dynamics (TEG, GKG), pp. 1758–1767.
ICMLICML-2018-HanHZ #classification #estimation #multi #problem
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem (LH, YH, TZ), pp. 1885–1894.
ICMLICML-2018-JohnH #fourier #process #using
Large-Scale Cox Process Inference using Variational Fourier Features (STJ, JH), pp. 2367–2375.
ICMLICML-2018-KhanNTLGS #learning #performance
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam (MEK, DN, VT, WL, YG, AS), pp. 2616–2625.
ICMLICML-2018-LiuCWO #process #robust
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression (HL, JC, YW, YSO), pp. 3137–3146.
ICMLICML-2018-LoukasV #approximate #graph
Spectrally Approximating Large Graphs with Smaller Graphs (AL, PV), pp. 3243–3252.
ICMLICML-2018-Mitrovic0ZK #approach #summary
Data Summarization at Scale: A Two-Stage Submodular Approach (MM, EK0, MZ, AK), pp. 3593–3602.
ICMLICML-2018-QiaoZ0WY #image #network #recognition
Gradually Updated Neural Networks for Large-Scale Image Recognition (SQ, ZZ, WS0, BW0, ALY), pp. 4185–4194.
ICMLICML-2018-RuizTDB #category theory #probability
Augment and Reduce: Stochastic Inference for Large Categorical Distributions (FJRR, MKT, ABD, DMB), pp. 4400–4409.
ICMLICML-2018-SaCW #modelling #visual notation
Minibatch Gibbs Sampling on Large Graphical Models (CDS, VC, WW), pp. 1173–1181.
ICMLICML-2018-Schwarz0LGTPH #framework #learning
Progress & Compress: A scalable framework for continual learning (JS, WC0, JL, AGB, YWT, RP, RH), pp. 4535–4544.
ICMLICML-2018-SunP #approximate
Scalable Approximate Bayesian Inference for Particle Tracking Data (RS, LP), pp. 4807–4816.
ICMLICML-2018-WangSQ #learning #modelling #multi #performance #visual notation
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models (BW, AS, YQ), pp. 5148–5157.
ICMLICML-2018-Wu0H0 #distributed #fault #optimisation
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization (JW, WH0, JH, TZ0), pp. 5321–5329.
ICMLICML-2018-YenKYHKR #composition #learning #performance
Loss Decomposition for Fast Learning in Large Output Spaces (IEHY, SK, FXY, DNHR, SK, PR), pp. 5626–5635.
ICMLICML-2018-ZhangFS #estimation #matrix
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion (RYZ, SF, SS), pp. 5761–5770.
ICPRICPR-2018-BoubrahimiMAHA #approximate
Scalable kNN Search Approximation for Time Series Data (SFB, RM, BA, SMH, RAA), pp. 970–975.
ICPRICPR-2018-Chen #clustering #similarity
Scalable spectral clustering with cosine similarity (GC), pp. 314–319.
ICPRICPR-2018-FuGA #detection #learning
Simultaneous Context Feature Learning and Hashing for Large Scale Loop Closure Detection (ZF, YG, WA), pp. 1689–1694.
ICPRICPR-2018-GaoMSLWX
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking (PG0, YM, KS, CL, FW0, LX), pp. 2380–2385.
ICPRICPR-2018-RathoreBKRP #approximate #clustering #heatmap
Approximate Cluster Heat Maps of Large High-Dimensional Data (PR, JCB, DK, SR, MP), pp. 195–200.
ICPRICPR-2018-Yan0R #classification #framework #performance #representation
An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification (YY, AR0, SR), pp. 940–945.
ICPRICPR-2018-ZhangMWZ0 #classification #semantics #video
From Text to Video: Exploiting Mid-Level Semantics for Large-Scale Video Classification (JZ0, KM, XW0, YZ0, JF0), pp. 1695–1700.
ICPRICPR-2018-ZhangZZ
Scalable Monocular SLAM by Fusing and Connecting Line Segments with Inverse Depth Filter (JZ, GZ, HZ), pp. 2283–2288.
ICPRICPR-2018-ZhuX #approximate #graph #learning
Scalable Semi-Supervised Learning by Graph Construction with Approximate Anchors Embedding (HZ, MX), pp. 1331–1336.
ICPRICPR-2018-ZuGBT #performance
Saliency guided fast interpolation for large displacement optical flow (YZ, KG, XB, WT), pp. 1145–1150.
KDDKDD-2018-BachemL0 #clustering #lightweight
Scalable k -Means Clustering via Lightweight Coresets (OB, ML, AK0), pp. 1119–1127.
KDDKDD-2018-BaiOZFRST #n-gram #query
Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search (XB0, EO, YZ, AF, AR, RS, AT), pp. 52–61.
KDDKDD-2018-BorisyukGS #detection #image #named #recognition
Rosetta: Large Scale System for Text Detection and Recognition in Images (FB, AG, VS), pp. 71–79.
KDDKDD-2018-ChenCYY #optimisation
Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data (XC, PC0, LY, SY), pp. 130–138.
KDDKDD-2018-ChenHNHYH #clustering #normalisation
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut (XC0, WH, FN, DH, MY0, JZH), pp. 1206–1215.
KDDKDD-2018-ConteMSGMV #community #detection #named #network
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes (AC, TDM, DDS, RG, AM, LV), pp. 1272–1281.
KDDKDD-2018-FuWHW #approximate #fault #learning #reduction
Scalable Active Learning by Approximated Error Reduction (WF, MW, SH, XW0), pp. 1396–1405.
KDDKDD-2018-GaoWJ #graph #network
Large-Scale Learnable Graph Convolutional Networks (HG, ZW, SJ), pp. 1416–1424.
KDDKDD-2018-GittensRWMGPKRM #data analysis #library #using
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist (AG, KR, SW, MWM, LG, P, JK, MFR, KJM), pp. 293–301.
KDDKDD-2018-LinZXZ #learning #multi #performance
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (KL, RZ, ZX, JZ), pp. 1774–1783.
KDDKDD-2018-LiuCMCMJJ #lessons learnt #normalisation #online
Lessons Learned from Developing and Deploying a Large-Scale Employer Name Normalization System for Online Recruitment (QL, JC, TM, AC, CM, FJ, VJ), pp. 556–565.
KDDKDD-2018-Park0 #effectiveness #graph #named #performance
EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties (HP, MSK0), pp. 2051–2059.
KDDKDD-2018-PerrosPPVYdSS #named
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping (IP, EEP, HP, RWV, XY, Cd, WFS, JS), pp. 2080–2089.
KDDKDD-2018-Rajan
Computational Advertising at Scale (SR), p. 2875.
KDDKDD-2018-SadrediniGBRSW #hardware #novel #rule-based
A Scalable Solution for Rule-Based Part-of-Speech Tagging on Novel Hardware Accelerators (ES, DG, CB, RR, KS, HW), pp. 665–674.
KDDKDD-2018-ShengTWXZN #email #information management #privacy
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email (YS0, ST, JBW, JX0, QZ, MN), pp. 734–743.
KDDKDD-2018-ShenYXEBW0 #graph #mobile
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs (XS, HY, WX, ME, JB, ZW, CW0), pp. 886–894.
KDDKDD-2018-StaarDAB #corpus #documentation #framework #machine learning #platform
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale (PWJS, MD, CA, CB), pp. 774–782.
KDDKDD-2018-WuCYXXA #clustering #random #using
Scalable Spectral Clustering Using Random Binning Features (LW, PYC, IEHY, FX, YX, CCA), pp. 2506–2515.
KDDKDD-2018-XuLGZLNLBY #approach #learning #on-demand #order #platform
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (ZX, ZL, QG, DZ, QL, JN, CL, WB, JY), pp. 905–913.
ICMTICMT-2018-DanielSC #model transformation #query
Scalable Queries and Model Transformations with the Mogwaï Tool (GD, GS, JC), pp. 175–183.
MoDELSMoDELS-2018-BruneliereKDC #towards
Towards Scalable Model Views on Heterogeneous Model Resources (HB, FMdK, GD, JC), pp. 334–344.
OOPSLAOOPSLA-2018-JeonJO #analysis #data-driven #points-to #precise
Precise and scalable points-to analysis via data-driven context tunneling (MJ, SJ, HO), p. 29.
LOPSTRLOPSTR-2018-PapapanagiotouF #approach #composition #linear #logic #process #using
A Pragmatic, Scalable Approach to Correct-by-Construction Process Composition Using Classical Linear Logic Inference (PP, JDF), pp. 77–93.
ASEASE-2018-Hilton0M #evolution #test coverage
A large-scale study of test coverage evolution (MH, JB0, DM), pp. 53–63.
ASEASE-2018-KonatEV #dependence #incremental
Scalable incremental building with dynamic task dependencies (GK, SE, EV), pp. 76–86.
ASEASE-2018-SungLEW #concurrent #difference #semantics #source code
Datalog-based scalable semantic diffing of concurrent programs (CS, SKL, CE, CW0), pp. 656–666.
ESEC-FSEESEC-FSE-2018-GaoDQGW0HZW #debugging #distributed #empirical
An empirical study on crash recovery bugs in large-scale distributed systems (YG, WD, FQ, CG, DW, JW0, RH, LZ, YW), pp. 539–550.
ESEC-FSEESEC-FSE-2018-GulzarWK #automation #big data #data analysis #data-driven #debugging #named
BigSift: automated debugging of big data analytics in data-intensive scalable computing (MAG, SW, MK), pp. 863–866.
ESEC-FSEESEC-FSE-2018-Ketkar #migration
Type migration in large-scale code bases (AK), pp. 965–967.
ESEC-FSEESEC-FSE-2018-MaddoxLR
Large-scale study of substitutability in the presence of effects (JM, YL, HR), pp. 528–538.
ICSE-2018-FanSCMLXPS #analysis #android #exception
Large-scale analysis of framework-specific exceptions in Android apps (LF, TS, SC, GM, YL0, LX, GP, ZS), pp. 408–419.
ICSE-2018-HammadGM #android #anti #empirical #obfuscation
A large-scale empirical study on the effects of code obfuscations on Android apps and anti-malware products (MH, JG, SM), pp. 421–431.
ICSE-2018-MirandaCVB #performance #similarity #testing
FAST approaches to scalable similarity-based test case prioritization (BM, EC, RV, AB), pp. 222–232.
ICSE-2018-PalombaBPFOL #empirical #maintenance #on the #smell
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (FP, GB, MDP, FF, RO, ADL), p. 482.
ICSE-2018-PapadakisSYB #correlation #detection #empirical #fault
Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults (MP, DS0, SY, DHB), pp. 537–548.
ICSE-2018-WangBWWCWW #empirical #mobile #obfuscation
Software protection on the go: a large-scale empirical study on mobile app obfuscation (PW0, QB, LW, SW0, ZC, TW, DW), pp. 26–36.
ICSE-2018-XiaBLXHL #case study #comprehension
Measuring program comprehension: a large-scale field study with professionals (XX0, LB, DL0, ZX, AEH, SL), p. 584.
ASPLOSASPLOS-2018-BestaHYAMH #energy #network #performance
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability (MB, SMH, SY, RA, OM, TH), pp. 43–55.
ASPLOSASPLOS-2018-HsuDMT #named
SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters (CHH, QD, JM, LT), pp. 535–548.
ASPLOSASPLOS-2018-ZhaL #configuration management #multi
Liquid Silicon-Monona: A Reconfigurable Memory-Oriented Computing Fabric with Scalable Multi-Context Support (YZ, JL), pp. 214–228.
CASECASE-2018-GrechVCA #overview #visual notation
Collision Avoidance System for the RP Survey and Visual Inspection Train in the CERN Large Hadron Collider (LG, GV, MDC, CVA), pp. 817–822.
CGOCGO-2018-0003LJZW #concurrent #debugging #distributed #graph
Scalable concurrency debugging with distributed graph processing (LZ0, XL, HJ0, JZ, QW), pp. 188–199.
IJCARIJCAR-2018-HernandezK #abstraction #framework #reasoning
An Abstraction-Refinement Framework for Reasoning with Large Theories (JCLH, KK), pp. 663–679.
IJCARIJCAR-2018-HuangMGZZ #satisfiability #testing
Investigating the Existence of Large Sets of Idempotent Quasigroups via Satisfiability Testing (PH0, FM, CG, JZ0, HZ), pp. 354–369.
TAPTAP-2018-BernardHK #approach #approximate #modelling #random
An Approximation-Based Approach for the Random Exploration of Large Models (JB0, PCH, OK), pp. 27–43.
VMCAIVMCAI-2018-BiondiEHLMQ #approximate #data flow #source code
Scalable Approximation of Quantitative Information Flow in Programs (FB, MAE, AH, AL, KSM, JQ), pp. 71–93.
ICSAICSA-2017-MartenssonSB #industrial #integration
Continuous Integration Impediments in Large-Scale Industry Projects (TM, DS, JB), pp. 169–178.
ICSAICSA-2017-MusilESISMB #architecture #integration
Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations (JM, FJE, MS, TBI, DS0, AM, SB), pp. 189–192.
JCDLJCDL-2017-BammanCGHS #library
Estimating the Date of First Publication in a Large-Scale Digital Library (DB, MC, JG, CH, VS), pp. 149–158.
JCDLJCDL-2017-WeiglPOD #library
Information-Seeking in Large-Scale Digital Libraries: Strategies for Scholarly Workset Creation (DMW, KRP, PO, JSD), pp. 253–256.
CSEETCSEET-2017-DemuthK #approach #approximate
An Approach for Project Task Approximation in a Large-Scale Software Project Course (BD, MK), pp. 67–76.
EDMEDM-2017-AndresBSGSC #framework #replication #using
Studying MOOC Completion at Scale Using the MOOC Replication Framework (JMLA, RSB, GS, DG, CAS, SAC).
EDMEDM-2017-ZhangS #interactive #modelling #network
Modeling Network Dynamics of MOOC Discussion Interactions at Scale (JZ, MS).
ICSMEICSME-2017-BlondeauEACCD #case study #developer #testing #what
What are the Testing Habits of Developers? A Case Study in a Large IT Company (VB, AE, NA, SC, PC, SD), pp. 58–68.
ICSMEICSME-2017-HuangVGSS #analysis #assembly #execution #named #visualisation
Atlantis: Improving the Analysis and Visualization of Large Assembly Execution Traces (HNH, EV0, DMG, MADS, MS), pp. 623–627.
ICSMEICSME-2017-VasquezMP #automation #mobile #testing
Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing (MLV, KM, DP), pp. 399–410.
ICSMEICSME-2017-WiemanALVD #case study #experience #learning
An Experience Report on Applying Passive Learning in a Large-Scale Payment Company (RW, MFA, WL, SV, AvD), pp. 564–573.
ICSMEICSME-2017-XiaLBSL
Personality and Project Success: Insights from a Large-Scale Study with Professionals (XX0, DL0, LB, AS0, SL), pp. 318–328.
MSRMSR-2017-BaoXXLL #developer #industrial #mining
Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report (LB, ZX, XX0, DL0, SL), pp. 170–181.
MSRMSR-2017-GhotraMH #classification #fault #feature model #modelling
A large-scale study of the impact of feature selection techniques on defect classification models (BG, SM, AEH), pp. 146–157.
MSRMSR-2017-GonzalezSPMN #comprehension #maintenance #testing
A large-scale study on the usage of testing patterns that address maintainability attributes: patterns for ease of modification, diagnoses, and comprehension (DG, JCSS, AP, MM, MN), pp. 391–401.
MSRMSR-2017-WanLXC #debugging #empirical
Bug characteristics in blockchain systems: a large-scale empirical study (ZW, DL0, XX0, LC), pp. 413–424.
MSRMSR-2017-WatanabeAKSTSIS #comprehension #metric #mobile
Understanding the origins of mobile app vulnerabilities: a large-scale measurement study of free and paid apps (TW0, MA, FK, ES, YT, BS, YI, TS, TY, TM), pp. 14–24.
SANERSANER-2017-Kirda #approach #automation #detection #named
UNVEIL: A large-scale, automated approach to detecting ransomware (keynote) (EK), p. 1.
SANERSANER-2017-XavierBHV #api #impact analysis
Historical and impact analysis of API breaking changes: A large-scale study (LX, AB, ACH, MTV), pp. 138–147.
SANERSANER-2017-ZhouLYZ #recommendation
Scalable tag recommendation for software information sites (PZ, JL0, ZY, GZ), pp. 272–282.
SEFMSEFM-2017-FantechiHM #composition #verification
Compositional Verification of Interlocking Systems for Large Stations (AF, AEH, HDM), pp. 236–252.
ICFP-2017-CanouCH #education #functional #ml #programming
Scaling up functional programming education: under the hood of the OCaml MOOC (BC, RDC, GH), p. 25.
AIIDEAIIDE-2017-ClarkF #performance #random #search-based
Fast Random Genetic Search for Large-Scale RTS Combat Scenarios (CC, AF), pp. 165–171.
CoGCIG-2017-BertensGP #big data #game studies #multi #predict
Games and big data: A scalable multi-dimensional churn prediction model (PB, AG, AP), pp. 33–36.
CoGVS-Games-2017-KoskelaPHAAO #3d #modelling #named #web
DRUMM: Dynamic viewing of large-scale 3D city models on the web (TK, MP, AH, TA, PA, TO), pp. 8–14.
CIKMCIKM-2017-ArmanACA #3d #database #named #query
VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases (AA, MEA, FMC, KA), pp. 2447–2450.
CIKMCIKM-2017-BhamidipatiKM #predict
A Large Scale Prediction Engine for App Install Clicks and Conversions (NB, RK, SM), pp. 167–175.
CIKMCIKM-2017-CaoZL #approach #approximate #distributed #effectiveness #graph #mining #named
PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining (YC, YZ, JL), pp. 1999–2002.
CIKMCIKM-2017-Chekol #evaluation #probability #query
Scaling Probabilistic Temporal Query Evaluation (MWC), pp. 697–706.
CIKMCIKM-2017-ChenYSGHY #network
Community-Based Network Alignment for Large Attributed Network (ZC0, XY, BS, JG, XH, WSY), pp. 587–596.
CIKMCIKM-2017-HuWBZC #clustering #performance
Fast K-means for Large Scale Clustering (QH, JW, LB0, YZ0, JC0), pp. 2099–2102.
CIKMCIKM-2017-KansalS #database #graph
A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases (AK, FS), pp. 207–216.
CIKMCIKM-2017-LiK #evaluation #information retrieval
Active Sampling for Large-scale Information Retrieval Evaluation (DL, EK), pp. 49–58.
CIKMCIKM-2017-OosterhuisR #evaluation #online
Sensitive and Scalable Online Evaluation with Theoretical Guarantees (HO, MdR), pp. 77–86.
CIKMCIKM-2017-QianPS #learning
Active Learning for Large-Scale Entity Resolution (KQ0, LP0, PS), pp. 1379–1388.
CIKMCIKM-2017-SeoK #algorithm #clustering #graph #named #performance
pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs (JHS, MHK), pp. 2295–2298.
CIKMCIKM-2017-TanZW #graph #learning #representation
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations (ZT, XZ0, WW0), pp. 1777–1786.
CIKMCIKM-2017-WuZCC #approach #image
A New Approach to Compute CNNs for Extremely Large Images (SW, MZ, GC0, KC0), pp. 39–48.
CIKMCIKM-2017-ZhuangLZF #human-computer #hybrid #knowledge base #named
Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases (YZ, GL0, ZZ, JF), pp. 1917–1926.
ICMLICML-2017-0001N #composition #learning #modelling
Relative Fisher Information and Natural Gradient for Learning Large Modular Models (KS0, FN), pp. 3289–3298.
ICMLICML-2017-ChenYLZ #online #optimisation #performance
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability (ZC, LFY, CJL, TZ), pp. 777–786.
ICMLICML-2017-Hernandez-Lobato #distributed #parallel
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (JMHL, JR, EOPK, AAG), pp. 1470–1479.
ICMLICML-2017-JainMR #generative #learning #modelling #multi
Scalable Generative Models for Multi-label Learning with Missing Labels (VJ, NM, PR), pp. 1636–1644.
ICMLICML-2017-RealMSSSTLK #classification #evolution #image
Large-Scale Evolution of Image Classifiers (ER, SM, AS, SS, YLS, JT, QVL, AK), pp. 2902–2911.
ICMLICML-2017-TangGD #sketching
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares (JT, MG, MED), pp. 3377–3386.
ICMLICML-2017-Villacampa-Calvo #classification #multi #process #using
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation (CVC, DHL), pp. 3550–3559.
ICMLICML-2017-WichrowskaMHCDF
Learned Optimizers that Scale and Generalize (OW, NM, MWH, SGC, MD, NdF, JSD), pp. 3751–3760.
ICMLICML-2017-YangRS
Scalable Bayesian Rule Lists (HY, CR, MS), pp. 3921–3930.
ICMLICML-2017-ZhangHLYCHW #reduction
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction (WZ, BH, WL0, JY, DC, XH0, JW0), pp. 4016–4025.
KDDKDD-2017-AlbertKG #identification #network #using
Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale (AA, JK, MCG), pp. 1357–1366.
KDDKDD-2017-ConteFMPT #performance
Fast Enumeration of Large k-Plexes (AC, DF, CM, MP, RT), pp. 115–124.
KDDKDD-2017-CurtisG #estimation
Estimation of Recent Ancestral Origins of Individuals on a Large Scale (REC, ARG), pp. 1417–1425.
KDDKDD-2017-DongCS #learning #named #network #representation
metapath2vec: Scalable Representation Learning for Heterogeneous Networks (YD, NVC, AS), pp. 135–144.
KDDKDD-2017-GanH #data mining #framework #mining
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities (GG, JXH), pp. 1467–1475.
KDDKDD-2017-IosifidisN #learning #sentiment
Large Scale Sentiment Learning with Limited Labels (VI, EN), pp. 1823–1832.
KDDKDD-2017-KuangPCMP
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data (ZK, PLP, VSC, RM, DP), pp. 1537–1546.
KDDKDD-2017-PanZLCHHZ #network
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis (LP, JZ, PPCL, HC, CH, CH, KZ), pp. 1951–1959.
KDDKDD-2017-Parekh #design
Designing AI at Scale to Power Everyday Life (RP), p. 27.
KDDKDD-2017-PerrosPWVSTS #named
SPARTan: Scalable PARAFAC2 for Large & Sparse Data (IP, EEP, FW0, RWV, ES, MT, JS), pp. 375–384.
KDDKDD-2017-RaffN #distance #sequence
An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance (ER, CKN), pp. 1007–1015.
KDDKDD-2017-SalehianHL #approach #crowdsourcing #machine learning
Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach (HS, PDH, CL), pp. 2001–2009.
KDDKDD-2017-SpringS #learning #random
Scalable and Sustainable Deep Learning via Randomized Hashing (RS, AS), pp. 445–454.
KDDKDD-2017-TongCZCWYYL #approach #online #platform #predict
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (YT, YC, ZZ, LC0, JW0, QY0, JY, WL), pp. 1653–1662.
KDDKDD-2017-WuHS #collaboration #ranking
Large-scale Collaborative Ranking in Near-Linear Time (LW, CJH, JS), pp. 515–524.
KDDKDD-2017-YanCR #detection
Scalable Top-n Local Outlier Detection (YY, LC, EAR), pp. 1235–1244.
KDDKDD-2017-YinLN #bound #education
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach (PY, PL0, TN), pp. 1275–1284.
ECMFAECMFA-2017-GomezMBCDGKLT #case study #development #experience #modelling #on the
On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development (AG, XM, GB, JC, CD, AG, DSK, JdL, ST), pp. 300–315.
ECOOPECOOP-2017-Schulte #challenge
Challenges to Achieving High Availability at Scale (Invited Talk) (WS), p. 1.
PPDPPPDP-2017-MeiklejohnEYBRB #case study #evaluation #experience #programming
Practical evaluation of the Lasp programming model at large scale: an experience report (CSM, VE, JY, CB, PVR, AB), pp. 109–114.
SASSAS-2017-MarechalMP #linear #parametricity #programming
Scalable Minimizing-Operators on Polyhedra via Parametric Linear Programming (AM, DM, MP), pp. 212–231.
ASEASE-2017-CelikPG #named #proving #verification
iCoq: regression proof selection for large-scale verification projects (, KP, MG), pp. 171–182.
ASEASE-2017-DanielJSC #framework #model transformation #named
Gremlin-ATL: a scalable model transformation framework (GD, FJ, GS, JC), pp. 462–472.
ASEASE-2017-ZhaoSZFV #development #empirical #integration
The impact of continuous integration on other software development practices: a large-scale empirical study (YZ, AS, YZ, VF, BV), pp. 60–71.
ESEC-FSEESEC-FSE-2017-ZhouCMW #kernel #linux #maintenance #on the
On the scalability of Linux kernel maintainers' work (MZ, QC, AM, FW), pp. 27–37.
ICSE-2017-FabijanDOB #data-driven #development #evolution
The evolution of continuous experimentation in software product development: from data to a data-driven organization at scale (AF, PAD, HHO, JB), pp. 770–780.
ICSE-2017-LiWWWWLXH #android #detection #library #named #precise
LibD: scalable and precise third-party library detection in android markets (ML, WW, PW0, SW0, DW, JL, RX, WH), pp. 335–346.
ICSE-2017-TsutanoBSRD #android #approach #performance #robust
An efficient, robust, and scalable approach for analyzing interacting android apps (YT, SB, WSa, GR, JD), pp. 324–334.
ASPLOSASPLOS-2017-GaoPYHK #3d #memory management #named #network #performance
TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory (MG, JP, XY, MH, CK), pp. 751–764.
ASPLOSASPLOS-2017-HsiaoNKPP #named
AsyncClock: Scalable Inference of Asynchronous Event Causality (CHH, SN, EMIK, CLP, GAP), pp. 193–205.
ASPLOSASPLOS-2017-NguyenP #memory management #source code #transaction #what
What Scalable Programs Need from Transactional Memory (DN, KP), pp. 105–118.
ASPLOSASPLOS-2017-RajbhandariHRCC #multi #optimisation #performance
Optimizing CNNs on Multicores for Scalability, Performance and Goodput (SR, YH, OR, MC, TMC), pp. 267–280.
ASPLOSASPLOS-2017-WangHZXS #analysis #graph #interprocedural #named
Graspan: A Single-machine Disk-based Graph System for Interprocedural Static Analyses of Large-scale Systems Code (KW0, AH0, ZZ0, G(X, AAS), pp. 389–404.
CASECASE-2017-CarliD17a #distributed #energy #programming #using
A decentralized control strategy for energy retrofit planning of large-scale street lighting systems using dynamic programming (RC, MD), pp. 1196–1200.
CASECASE-2017-ChoiPR #algorithm #automation #multi #synthesis
Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming (TC, TPP, AWR), pp. 1522–1527.
CASECASE-2017-VijayaraghavanK #algorithm
An L1-minimization based algorithm to measure the redundancy of state estimators in large sensor systems (VV, KK, YD, HP), pp. 424–428.
CGOCGO-2017-JohnsonAL #incremental #named
ThinLTO: scalable and incremental LTO (TJ, MA, DXL), pp. 111–121.
CGOCGO-2017-OttoniM #optimisation
Optimizing function placement for large-scale data-center applications (GO, BM), pp. 233–244.
CADECADE-2017-0001SUP #consistency #detection #first-order #knowledge base #nondeterminism
Detecting Inconsistencies in Large First-Order Knowledge Bases (SS0, GS, JU, AP), pp. 310–325.
CADECADE-2017-BarbosaBF #fine-grained #proving
Scalable Fine-Grained Proofs for Formula Processing (HB, JCB, PF), pp. 398–412.
CAVCAV-2017-BakD #linear #reachability
Simulation-Equivalent Reachability of Large Linear Systems with Inputs (SB, PSD), pp. 401–420.
CAVCAV-2017-ReynoldsWBBLT #string #using
Scaling Up DPLL(T) String Solvers Using Context-Dependent Simplification (AR, MW, CWB, DB, TL, CT), pp. 453–474.
WICSAWICSA-2016-GarbaNB #multi #named #variability
MUSA: A Scalable Multi-touch and Multi-perspective Variability Management Tool (MG, AN, RB), pp. 299–302.
WICSAWICSA-2016-MartiniB #agile #architecture #case study #framework #multi
A Multiple Case Study of Continuous Architecting in Large Agile Companies: Current Gaps and the CAFFEA Framework (AM, JB), pp. 1–10.
JCDLJCDL-2016-TraubSOHVH #assessment #bias #corpus
Querylog-based Assessment of Retrievability Bias in a Large Newspaper Corpus (MCT, TS, JvO, JH, APdV, LH), pp. 7–16.
CSEETCSEET-2016-MeierKP #agile #case study #collaboration #development #education #experience #student
Experience Report of Teaching Agile Collaboration and Values: Agile Software Development in Large Student Teams (AM0, MK, GP), pp. 76–80.
EDMEDM-2016-FeildLZRE #automation #feedback #framework #learning #platform
A Scalable Learning Analytics Platform for Automated Writing Feedback (JLF, NL, NLZ, MR, AE), pp. 688–693.
EDMEDM-2016-LuH #question
Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm? (YL, SIHH), pp. 442–447.
EDMEDM-2016-Nixon
Massively Scalable EDM with Spark (TN), p. 615.
EDMEDM-2016-Penteado #assessment #data mining #estimation #mining #semantics #using
Estimation of prerequisite skills model from large scale assessment data using semantic data mining (BEP), pp. 675–677.
ICPCICPC-2016-Kulkarni #reuse #source code
Comprehending source code of large software system for reuse (AK), pp. 1–4.
ICSMEICSME-2016-SainiSL #empirical #java #metric #quality
Comparing Quality Metrics for Cloned and Non Cloned Java Methods: A Large Scale Empirical Study (VS, HS, CVL), pp. 256–266.
ICSMEICSME-2016-VassalloZRBPPZ #delivery
Continuous Delivery Practices in a Large Financial Organization (CV, FZ, DR, MB, AP, MDP, AZ), pp. 519–528.
ICSMEICSME-2016-XiaBLL #automation #case study #debugging #fault #harmful #locality #user study #using
“Automated Debugging Considered Harmful” Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems (XX0, LB, DL0, SL), pp. 267–278.
MSRMSR-2016-BavotaR #empirical #self #technical debt
A large-scale empirical study on self-admitted technical debt (GB, BR), pp. 315–326.
MSRMSR-2016-NguyenNN #open source
A large-scale study on repetitiveness, containment, and composability of routines in open-source projects (ATN0, HAN, TNN), pp. 362–373.
SANERSANER-2016-BellerBMZ #evaluation #open source #static analysis
Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software (MB, RB, SM, AZ), pp. 470–481.
SANERSANER-2016-BritoHVR #analysis #api #developer #java
Do Developers Deprecate APIs with Replacement Messages? A Large-Scale Analysis on Java Systems (GB, ACH, MTV, RR), pp. 360–369.
SANERSANER-2016-KochharWL #case study #multi #programming language #quality
A Large Scale Study of Multiple Programming Languages and Code Quality (PSK, DW, DL0), pp. 563–573.
SANERSANER-2016-RoyHAWD #automation #metadata #set #spreadsheet
Evaluating Automatic Spreadsheet Metadata Extraction on a Large Set of Responses from MOOC Participants (SR, FH, EA, JW, AvD), pp. 135–145.
SANERSANER-2016-SwidanHK #case study #performance #spreadsheet
Improving the Performance of a Large Scale Spreadsheet: A Case Study (AS, FH, RK), pp. 673–677.
HaskellHaskell-2016-MokhovMJM #harmful #recursion
Non-recursive make considered harmful: build systems at scale (AM, NM, SPJ, SM), pp. 170–181.
ICFP-2016-Abadi #learning #named
TensorFlow: learning functions at scale (MA), p. 1.
CoGCIG-2016-Nelson #corpus #game studies
Investigating vanilla MCTS scaling on the GVG-AI game corpus (MJN), pp. 1–7.
CIKMCIKM-2016-BandyopadhyayFC #graph #incremental #sketching
Topological Graph Sketching for Incremental and Scalable Analytics (BB, DF, AC, SP0), pp. 1231–1240.
CIKMCIKM-2016-BleifussBFRW0PN #approximate #dataset #dependence #functional
Approximate Discovery of Functional Dependencies for Large Datasets (TB, SB, JF, JR, GW, SK0, TP, FN), pp. 1803–1812.
CIKMCIKM-2016-ChenNLXA #feedback #modelling #recommendation
Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback (HC, DN, KL, YX, MA), pp. 669–678.
CIKMCIKM-2016-CheungL #learning #rank #robust
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning (YmC, JL), pp. 1151–1160.
CIKMCIKM-2016-CormackG #classification #learning #reliability
Scalability of Continuous Active Learning for Reliable High-Recall Text Classification (GVC, MRG), pp. 1039–1048.
CIKMCIKM-2016-EtemadiLT #estimation #graph #performance
Efficient Estimation of Triangles in Very Large Graphs (RE, JL, YHT), pp. 1251–1260.
CIKMCIKM-2016-GuoS #analysis #behaviour #mobile #towards
Large-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive Systems (QG, YS), pp. 579–588.
CIKMCIKM-2016-HoLSKDWZS #algorithm #behaviour #distributed #graph
A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data (QH, WL, ES, SK, TAD, JW, ICZ, ASN), pp. 1353–1362.
CIKMCIKM-2016-HuWCLF #graph #query
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs (JH, XW, RC, SL, YF), pp. 1241–1250.
CIKMCIKM-2016-Jin #e-commerce #online #robust
Large-scale Robust Online Matching and Its Application in E-commerce (RJ), p. 1351.
CIKMCIKM-2016-LiuLLC #composition #named #personalisation #random #rank
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition (QL, ZL, JCSL, JC), pp. 195–204.
CIKMCIKM-2016-LiuLNFTAKVPWMDV #detection #realtime #twitter #verification
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter (XL, QL, AN, RF, MT, KA, RK, MV, SP, RW, RM, JD, AV, WK, SS), pp. 207–216.
CIKMCIKM-2016-OrdentlichYFCGD #distributed #word
Network-Efficient Distributed Word2vec Training System for Large Vocabularies (EO, LY, AF, PC, MG, ND, VR, GO), pp. 1139–1148.
CIKMCIKM-2016-PengKYC #matrix #named #rank
RAP: Scalable RPCA for Low-rank Matrix Recovery (CP, ZK, MY, QC), pp. 2113–2118.
CIKMCIKM-2016-PhamP #performance
Scalability and Total Recall with Fast CoveringLSH (NP, RP), pp. 1109–1118.
CIKMCIKM-2016-RossiZ #multi #network
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks (RAR, RZ0), pp. 1783–1792.
CIKMCIKM-2016-SiddiquiRPH #corpus #documentation #named
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora (TS, XR, AGP, JH0), pp. 871–880.
CIKMCIKM-2016-ZhangLDCKS #big data #locality #privacy #using
Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation (XZ, CL, WD, JC, KR, ZS), pp. 1793–1802.
CIKMCIKM-2016-ZhongSLR #parametricity
Scaling Factorization Machines with Parameter Server (EZ, YS, NL, SR), pp. 1583–1592.
ECIRECIR-2016-BaluFA #matrix #sketching
Sketching Techniques for Very Large Matrix Factorization (RB, TF, LA), pp. 782–788.
ECIRECIR-2016-CroceB #kernel #learning
Large-Scale Kernel-Based Language Learning Through the Ensemble Nystr đdoto o ¨ m Methods (DC, RB0), pp. 100–112.
ICMLICML-2016-CanevetJF #empirical
Importance Sampling Tree for Large-scale Empirical Expectation (OC, CJ, FF), pp. 1454–1462.
ICMLICML-2016-ChenG #multi #problem
Scalable Discrete Sampling as a Multi-Armed Bandit Problem (YC, ZG), pp. 2492–2501.
ICMLICML-2016-GeJKNS #algorithm #analysis #canonical #correlation #performance
Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis (RG0, CJ, SMK, PN, AS), pp. 2741–2750.
ICMLICML-2016-LucicBZK
Horizontally Scalable Submodular Maximization (ML, OB, MZ, AK0), pp. 2981–2989.
ICMLICML-2016-LuketinaRBG
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters (JL, TR, MB, KG), pp. 2952–2960.
ICMLICML-2016-TaylorBXSPG #approach #network
Training Neural Networks Without Gradients: A Scalable ADMM Approach (GT, RB, ZX0, BS, ABP, TG), pp. 2722–2731.
ICMLICML-2016-UbaruS #matrix #performance #rank
Fast methods for estimating the Numerical rank of large matrices (SU, YS), pp. 468–477.
ICMLICML-2016-VladymyrovC #problem
The Variational Nystrom method for large-scale spectral problems (MV, MÁCP), pp. 211–220.
ICMLICML-2016-ZhangLL #classification #image #network
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification (YZ, KL, HL), pp. 612–621.
ICPRICPR-2016-ChaiLYLC #gesture #network #recognition
Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition (XC, ZL, FY, ZL, XC), pp. 31–36.
ICPRICPR-2016-ConlyDA #gesture #recognition
Leveraging intra-class variations to improve large vocabulary gesture recognition (CC, AD, VA), pp. 907–912.
ICPRICPR-2016-GunjiNTKK #3d #recognition
3D object recognition from large-scale point clouds with global descriptor and sliding window (NG, HN, KT, TK, TK), pp. 721–726.
ICPRICPR-2016-KanehiraSH #learning #multi
True-negative label selection for large-scale multi-label learning (AK, AS, TH), pp. 3673–3678.
ICPRICPR-2016-KimuraKSK #classification #multi #performance #random
Fast random k-labELsets for large-scale multi-label classification (KK, MK, LS, SK), pp. 438–443.
ICPRICPR-2016-LiMTFXLS #3d #data-driven #database #gesture #recognition
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model (YL, QM, KT, YF, XX, RL, JS), pp. 25–30.
ICPRICPR-2016-Liu #hybrid #mining
Exposing seam carving forgery under recompression attacks by hybrid large feature mining (QL), pp. 1041–1046.
ICPRICPR-2016-Liu16a #classification #learning #multi #network
Hierarchical learning for large multi-class network classification (LL), pp. 2307–2312.
ICPRICPR-2016-WangLLGTO #gesture #network #recognition #using
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks (PW, WL, SL, ZG, CT, PO), pp. 7–12.
ICPRICPR-2016-WangLLZGO #gesture #network #recognition #using
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks (PW, WL, SL, YZ, ZG, PO), pp. 13–18.
ICPRICPR-2016-ZhuangYH #approach #modelling #retrieval #video
DLSTM approach to video modeling with hashing for large-scale video retrieval (NZ, JY0, KAH), pp. 3222–3227.
ICPRICPR-2016-ZhuZMSSS #3d #gesture #network #recognition #using
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (GZ, LZ0, LM, JS, JS, PS), pp. 19–24.
KDDKDD-2016-0002GOL #modelling #predict
Business Applications of Predictive Modeling at Scale (QZ0, SG, PO, YL), pp. 2139–2140.
KDDKDD-2016-AgostaGHIKZ #clustering #data analysis #using
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters (JMA, DG, RH, MI, SK, MZ), p. 2115.
KDDKDD-2016-AkibaY #graph #sketching
Compact and Scalable Graph Neighborhood Sketching (TA, YY), pp. 685–694.
KDDKDD-2016-BanerjeeYR #approach #mining #named
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories (PB, PY, SR), pp. 1415–1424.
KDDKDD-2016-ChenG #named
XGBoost: A Scalable Tree Boosting System (TC, CG), pp. 785–794.
KDDKDD-2016-ChiangLL #classification #coordination #linear #manycore #parallel
Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments (WLC, MCL, CJL), pp. 1485–1494.
KDDKDD-2016-DuLZHX #detection
Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records (BD, CL, WZ, ZH, HX), pp. 87–96.
KDDKDD-2016-GroverL #learning #named #network
node2vec: Scalable Feature Learning for Networks (AG, JL), pp. 855–864.
KDDKDD-2016-HanZZ #component #estimation #performance
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation (LH0, YZ0, TZ0), pp. 1585–1594.
KDDKDD-2016-HaPK #categorisation #e-commerce #multi #network #using
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks (JH, HP, JK), pp. 107–115.
KDDKDD-2016-Herbrich #learning #modelling
Learning Sparse Models at Scale (RH), p. 407.
KDDKDD-2016-HuangZCSML #network
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks (ZH0, YZ, RC, YS, NM, XL), pp. 1595–1604.
KDDKDD-2016-LiMLFDYLQ #big data #data analysis #learning #performance #taxonomy
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis (XL0, MM, BL, MSF, ID, JY, TL, SQ), pp. 511–519.
KDDKDD-2016-LynchAA #image #learning #multimodal #rank #semantics #visual notation
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank (CL, KA, JA), pp. 541–548.
KDDKDD-2016-MaccioniA #graph #pattern matching
Scalable Pattern Matching over Compressed Graphs via Dedensification (AM, DJA), pp. 1755–1764.
KDDKDD-2016-MahmoodyTU
Scalable Betweenness Centrality Maximization via Sampling (AM, CET, EU), pp. 1765–1773.
KDDKDD-2016-MaiAS #algorithm #clustering #dataset #named #performance
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets (STM, IA, MS), pp. 1025–1034.
KDDKDD-2016-PetitjeanW #learning #modelling #visual notation
Scalable Learning of Graphical Models (FP, GIW), pp. 2131–2132.
KDDKDD-2016-RendleFSS #in the cloud #machine learning #robust
Robust Large-Scale Machine Learning in the Cloud (SR, DF, EJS, BYS), pp. 1125–1134.
KDDKDD-2016-Shi0CTGR #multi #network #social
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay (YS, MK0, SC, MT, SG, RR), pp. 1855–1864.
KDDKDD-2016-Srivastava #machine learning #theory and practice
Large-Scale Machine Learning at Verizon: Theory and Applications (AS), p. 417.
KDDKDD-2016-TabeiSYP #matrix
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices (YT, HS, YY, SJP), pp. 1875–1884.
KDDKDD-2016-TanFLWLLPXH #adaptation #algorithm #predict
Scalable Time-Decaying Adaptive Prediction Algorithm (YT, ZF, GL, FW, ZL, SL, QP, EPX, QH), pp. 617–626.
KDDKDD-2016-Yang0Z #probability
Distributing the Stochastic Gradient Sampler for Large-Scale LDA (YY, JC0, JZ0), pp. 1975–1984.
KDDKDD-2016-ZhangZMCZA #linear #modelling #named #predict
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction (XZ, YZ, YM, BCC, LZ, DA), pp. 363–372.
OOPSLAOOPSLA-2016-WeitzWTEKT #protocol #smt #verification
Scalable verification of border gateway protocol configurations with an SMT solver (KW, DW, ET, MDE, AK, ZT), pp. 765–780.
LOPSTRLOPSTR-2016-JanaKDVC #array #bound #model checking #source code
Scaling Bounded Model Checking by Transforming Programs with Arrays (AJ, UPK, AD, RV, NC), pp. 275–292.
POPLPOPL-2016-PlotkinBLRV #network #symmetry #using #verification
Scaling network verification using symmetry and surgery (GDP, NB, NPL, AR, GV), pp. 69–83.
ASEASE-2016-Babur #analysis #modelling #set #statistics
Statistical analysis of large sets of models (ÖB), pp. 888–891.
FSEFSE-2016-LuoMP #comparison #empirical #testing
A large-scale empirical comparison of static and dynamic test case prioritization techniques (QL, KM, DP), pp. 559–570.
ICSE-2016-BersaniBGKP #performance #pipes and filters #using
Efficient large-scale trace checking using mapreduce (MMB, DB, CG, SK, PSP), pp. 888–898.
ICSE-2016-Huang #analysis #concurrent #thread
Scalable thread sharing analysis (JH0), pp. 1097–1108.
ICSE-2016-LuLLXMH0F #android #mining #named
PRADA: prioritizing android devices for apps by mining large-scale usage data (XL, XL, HL, TX0, QM, DH, GH0, FF0), pp. 3–13.
ICSE-2016-MechtaevYR #analysis #multi #named #synthesis
Angelix: scalable multiline program patch synthesis via symbolic analysis (SM, JY, AR), pp. 691–701.
ICSE-2016-SajnaniSSRL #clone detection #detection #named
SourcererCC: scaling code clone detection to big-code (HS, VS, JS, CKR, CVL), pp. 1157–1168.
GPCEGPCE-2016-Rothberg00L #testing #towards
Towards scalable configuration testing in variable software (VR, CD, AZ, DL), pp. 156–167.
ASPLOSASPLOS-2016-LinCLMHXS #design #implementation #kernel
Scalable Kernel TCP Design and Implementation for Short-Lived Connections (XL, YC0, XL, JM, JH, WX, YS), pp. 339–352.
ASPLOSASPLOS-2016-PhothilimthanaT
Scaling up Superoptimization (PMP, AT0, RB, DD), pp. 297–310.
CASECASE-2016-HuYLD #automation #identification #petri net
Critical stages and their identification in large scale automated manufacturing systems via Petri nets (HH, YY, YL0, ND), pp. 413–420.
CASECASE-2016-JanSFF #automation #performance
Fast automatic seat assignment for large-scale passengers reservation systems (GEJ, CCS, CTFT, KF), pp. 239–244.
CASECASE-2016-SchwesingerS #3d #approach #locality
A 3D approach to infrastructure-free localization in large scale warehouse environments (DS, JRS), pp. 274–279.
CCCC-2016-ScholzJSW #datalog #on the #performance #program analysis
On fast large-scale program analysis in Datalog (BS, HJ, PS, TW), pp. 196–206.
FASEFASE-2016-CarlosST #query #repository #traversal
Two-Step Transformation of Model Traversal EOL Queries for Large CDO Repositories (XDC, GS, ST), pp. 141–157.
CAVCAV-2016-GarioCMTR #automation #design #model checking
Model Checking at Scale: Automated Air Traffic Control Design Space Exploration (MG, AC, CM, ST, KYR), pp. 3–22.
ICSTICST-2016-StivaletF #generative #php #testing
Large Scale Generation of Complex and Faulty PHP Test Cases (BS, EF), pp. 409–415.
VMCAIVMCAI-2016-KidoCH #abstract interpretation #standard #static analysis #towards
Abstract Interpretation with Infinitesimals - Towards Scalability in Nonstandard Static Analysis (KK, SC, IH), pp. 229–249.
QoSAQoSA-2015-LehrigEB #in the cloud #metric #overview #performance
Scalability, Elasticity, and Efficiency in Cloud Computing: a Systematic Literature Review of Definitions and Metrics (SL, HE, SB), pp. 83–92.
WICSAWICSA-2015-GortonKN #architecture #database
Architecture Knowledge for Evaluating Scalable Databases (IG, JK, AN), pp. 95–104.
WICSAWICSA-2015-NaabBLHEMCK #architecture #case study #design #ecosystem #experience #mobile #prototype #why
Why Data Needs more Attention in Architecture Design — Experiences from Prototyping a Large-Scale Mobile App Ecosystem (MN, SB, TL, SH, AE, DM, RC, FK), pp. 75–84.
JCDLJCDL-2015-HinzeTBMD #ambiguity #library #semantics
Improving Access to Large-scale Digital Libraries ThroughSemantic-enhanced Search and Disambiguation (AH, CTS, DB0, RM, JSD), pp. 147–156.
PODSPODS-2015-Cormode #dataset #summary
Compact Summaries over Large Datasets (GC), pp. 157–158.
SIGMODSIGMOD-2015-BeedkarG #mining #named #sequence
LASH: Large-Scale Sequence Mining with Hierarchies (KB, RG), pp. 491–503.
SIGMODSIGMOD-2015-ChristensenWLYT #named #online #reasoning
STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data (RC, LW, FL, KY, JT, NV), pp. 1111–1116.
SIGMODSIGMOD-2015-ElgamalYAMH #analysis #big data #component #distributed #named #platform
sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms (TE, MY, AA, WM, MH), pp. 79–91.
SIGMODSIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #network
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.
SIGMODSIGMOD-2015-HuangBTRTR #machine learning
Resource Elasticity for Large-Scale Machine Learning (BH, MB, YT, BR, ST, FRR), pp. 137–152.
SIGMODSIGMOD-2015-JiangFW #keyword #network
Exact Top-k Nearest Keyword Search in Large Networks (MJ, AWCF, RCWW), pp. 393–404.
SIGMODSIGMOD-2015-KulkarniBFKKMPR #twitter
Twitter Heron: Stream Processing at Scale (SK, NB, MF, VK, CK, SM, JMP, KR, ST), pp. 239–250.
SIGMODSIGMOD-2015-LinOWY #distributed
Scalable Distributed Stream Join Processing (QL, BCO, ZW, CY), pp. 811–825.
SIGMODSIGMOD-2015-LoesingPEK #database #design #distributed #on the
On the Design and Scalability of Distributed Shared-Data Databases (SL, MP, TE, DK), pp. 663–676.
SIGMODSIGMOD-2015-NothaftMDZLYKAH #data-driven #using
Rethinking Data-Intensive Science Using Scalable Analytics Systems (FAN, MM, TD, ZZ, UL, CY, JK, AA, JH, ML, MJF, ADJ, DAP), pp. 631–646.
SIGMODSIGMOD-2015-PrasadFGMLXHR #data transfer #distributed #performance #predict
Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction (SP, AF, VG, JM, JL, VX, MH, IR), pp. 1657–1668.
SIGMODSIGMOD-2015-ShinJSK #approach #graph #named #random
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs (KS, JJ, LS, UK), pp. 1571–1585.
SIGMODSIGMOD-2015-TauheedHA #named
THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads (FT, TH, AA), pp. 939–950.
SIGMODSIGMOD-2015-TeflioudiGM #matrix #named #performance #retrieval
LEMP: Fast Retrieval of Large Entries in a Matrix Product (CT, RG, OM), pp. 107–122.
SIGMODSIGMOD-2015-YuanWYC #big data #database
A Demonstration of Rubato DB: A Highly Scalable NewSQL Database System for OLTP and Big Data Applications (LYY, LW, JHY, YC), pp. 907–912.
VLDBVLDB-2015-AnciauxLPP
A Scalable Search Engine for Mass Storage Smart Objects (NA, SL, ISP, PP), pp. 910–921.
VLDBVLDB-2015-ArmbrustDDGORSW #performance #usability
Scaling Spark in the Real World: Performance and Usability (MA, TD, AD, AG, AO, JR, IS, PW, RX, MZ), pp. 1840–1851.
VLDBVLDB-2015-BuxBLHDL #execution #named #workflow
SAASFEE: Scalable Scientific Workflow Execution Engine (MB, JB, CL, KH, JD, UL), pp. 1892–1903.
VLDBVLDB-2015-ChuWLHP #clustering #detection #named
ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDBVLDB-2015-DingWDFZZ #clustering #named #performance
YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDBVLDB-2015-GoelPABMFGMBL #architecture #realtime #towards
Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads (AKG, JP, NA, PB, SM, FF, FG, CM, TB, WL), pp. 1716–1727.
VLDBVLDB-2015-HaasKWF0 #framework #named
Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
VLDBVLDB-2015-KalininCZ #multi #named
Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, , SBZ), pp. 1094–1105.
VLDBVLDB-2015-KatsarouNT #performance #query
Performance and Scalability of Indexed Subgraph Query Processing Methods (FK, NN, PT), pp. 1566–1577.
VLDBVLDB-2015-KoutraJNF #graph #interactive #mining #named #visualisation
Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool (DK, DJ, YN, CF), pp. 1924–1935.
VLDBVLDB-2015-LaiQLC #pipes and filters
Scalable Subgraph Enumeration in MapReduce (LL, LQ, XL, LC), pp. 974–985.
VLDBVLDB-2015-LiDS #constraints #latency
Supporting Scalable Analytics with Latency Constraints (BL, YD, PJS), pp. 1166–1177.
VLDBVLDB-2015-LiQYM #community #network
Influential Community Search in Large Networks (RHL, LQ, JXY, RM), pp. 509–520.
VLDBVLDB-2015-MargoS #distributed #graph
A Scalable Distributed Graph Partitioner (DWM, MIS), pp. 1478–1489.
VLDBVLDB-2015-PelkonenFCHMTV #database #in memory #named #performance
Gorilla: A Fast, Scalable, In-Memory Time Series Database (TP, SF, PC, QH, JM, JT, KV), pp. 1816–1827.
VLDBVLDB-2015-PsaroudakisSMSA #adaptation #concurrent #in memory #towards
Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement (IP, TS, NM, AS, AA), pp. 1442–1453.
VLDBVLDB-2015-QiuBDSS #named #specification #web
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web (DQ, LB, XLD, YS, DS), pp. 2194–2205.
VLDBVLDB-2015-RenW #graph #morphism
Exploiting Vertex Relationships in Speeding up Subgraph Isomorphism over Large Graphs (XR, JW), pp. 617–628.
VLDBVLDB-2015-SahliMK #named #string
StarDB: A Large-Scale DBMS for Strings (MS, EM, PK), pp. 1844–1855.
VLDBVLDB-2015-ShaoC0LX #framework #graph #performance #similarity
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs (YS, BC, LC, ML, XX), pp. 838–849.
VLDBVLDB-2015-ShiokawaFO #algorithm #clustering #graph #performance
SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
VLDBVLDB-2015-ShiQMJWRO #data analysis #pipes and filters
Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, ), pp. 2110–2121.
VLDBVLDB-2015-TangCM #similarity
Scaling Similarity Joins over Tree-Structured Data (YT, YC, NM), pp. 1130–1141.
VLDBVLDB-2015-YuM #network #performance
Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.
CSEETCSEET-2015-Robinson #distributed #industrial
Insights from Creating and Deploying a Large, Globally Distributed Industrial Training Program (BPR), p. 2.
EDMEDM-2015-BakerCMSS #future of
The Future of Practical Applications of EDM at Scale (RSB, JC, PM, BS, JCS), p. 11.
EDMEDM-2015-LewkowZRE #education #framework #learning #platform #streaming #towards
Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education (NL, NLZ, MR, AE), pp. 460–463.
EDMEDM-2015-RollestonHS #education
Educational Reports That Scale Across Users and Data (RR, RH, MAS), pp. 468–471.
EDMEDM-2015-SaarelaK #approach #clustering #education
Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data (MS, TK), pp. 156–153.
EDMEDM-2015-ViePGBB #adaptation #modelling #performance #predict #testing
Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing (JJV, FP, JBG, EB, YB), pp. 618–619.
SIGITESIGITE-2015-ZhouCKNCUG #collaboration #feedback #student #using
M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering (MZ, AC, SK, BN, CC, KU, KG), pp. 153–158.
ICPCICPC-2015-VendomeLBPGP #git #java
License usage and changes: a large-scale study of Java projects on GitHub (CV, MLV, GB, MDP, DMG, DP), pp. 218–228.
ICSMEICSME-2015-Balachandran #query #repository
Query by example in large-scale code repositories (VB), pp. 467–476.
ICSMEICSME-2015-MaigaHNSL #case study #empirical #experience
An empirical study on the handling of crash reports in a large software company: An experience report (AM, AHL, MN, KKS, AL), pp. 342–351.
ICSMEICSME-2015-WangPV #corpus #mining
Developing a model of loop actions by mining loop characteristics from a large code corpus (XW, LLP, KVS), pp. 51–60.
MSRMSR-2015-GuptaSPA #challenge #identification #overview #process
Identifying Software Process Management Challenges: Survey of Practitioners in a Large Global IT Company (MG, AS, SP, AMA), pp. 346–356.
MSRMSR-2015-WuMKGI #consistency #detection #nondeterminism #open source
A Method to Detect License Inconsistencies in Large-Scale Open Source Projects (YW, YM, TK, DMG, KI), pp. 324–333.
SANERSANER-2015-DamevskiSP #code search #developer #evaluation #metric #tool support
Scaling up evaluation of code search tools through developer usage metrics (KD, DCS, LLP), pp. 181–190.
SANERSANER-2015-HashimotoMI #fine-grained #source code
A comprehensive and scalable method for analyzing fine-grained source code change patterns (MH, AM, TI), pp. 351–360.
SANERSANER-2015-Jiang #integration #process
Improving the integration process of large software systems (YJ), p. 598.
SANERSANER-2015-Keivanloo0Z #clone detection #detection #java #repository
Threshold-free code clone detection for a large-scale heterogeneous Java repository (IK, FZ, YZ), pp. 201–210.
SANERSANER-2015-KochharTL #debugging #effectiveness #empirical #test coverage #testing
Code coverage and test suite effectiveness: Empirical study with real bugs in large systems (PSK, FT, DL), pp. 560–564.
SANERSANER-2015-MedicherlaK #analysis #approximate #precise
Precision vs. scalability: Context sensitive analysis with prefix approximation (RKM, RK), pp. 281–290.
SCAMSCAM-2015-AivaloglouHH #dataset #spreadsheet
A grammar for spreadsheet formulas evaluated on two large datasets (EA, DH, FH), pp. 121–130.
SCAMSCAM-2015-LemosPSL #code search #query #question #using
Can the use of types and query expansion help improve large-scale code search? (OALL, ACdP, HS, CVL), pp. 41–50.
ICALPICALP-v1-2015-AnshelevichKS #approximate
Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare (EA, KK, SS), pp. 52–64.
ICALPICALP-v2-2015-Finkel #automaton #infinity #theorem #word
Incompleteness Theorems, Large Cardinals, and Automata over Infinite Words (OF), pp. 222–233.
ICFPICFP-2015-NewtonFV #adaptation
Adaptive lock-free maps: purely-functional to scalable (RRN, PPF, AV), pp. 218–229.
AIIDEAIIDE-2015-ChurchillB #architecture #game studies #robust
Hierarchical Portfolio Search: Prismata's Robust AI Architecture for Games with Large Search Spaces (DC, MB), pp. 16–22.
AIIDEAIIDE-2015-SifaDB #analysis #behaviour
Large-Scale Cross-Game Player Behavior Analysis on Steam (RS, AD, CB), pp. 198–204.
CoGCIG-2015-BaeKLKN #generative
Generation of an arbitrary shaped large maze by assembling mazes (CmB, EKK, JL, KJK, JCN), pp. 538–539.
FDGFDG-2015-RyanKFHOMW #game studies #interactive #visualisation
Large-Scale Interactive Visualizations of Nearly 12, 000 Games (JOR, EK, AMF, TH, TOM, MM, NWF).
CHICHI-2015-ChangLKS #behaviour #comprehension #gesture #mobile
Understanding Users’ Touch Behavior on Large Mobile Touch-Screens and Assisted Targeting by Tilting Gesture (YC, SL, KK, JS), pp. 1499–1508.
CHICHI-2015-EgelmanP #behaviour #security
Scaling the Security Wall: Developing a Security Behavior Intentions Scale (SeBIS) (SE, EP), pp. 2873–2882.
CHICHI-2015-GrevetG #prototype #social #using
Piggyback Prototyping: Using Existing, Large-Scale Social Computing Systems to Prototype New Ones (CG, EG), pp. 4047–4056.
CHICHI-2015-MiksikVLPNGHPIT #3d #interactive #recognition #semantics
The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces (OM, VV, ML, RP, MN, SG, SLH, PP, SI, PHST), pp. 3317–3326.
CHICHI-2015-ParkOSJC #behaviour #image #web
A Large-Scale Study of User Image Search Behavior on the Web (JYP, NO, RS, AJ, CWC), pp. 985–994.
CSCWCSCW-2015-CoetzeeLFHH #interactive #learning
Structuring Interactions for Large-Scale Synchronous Peer Learning (DC, SL, AF, BH, MAH), pp. 1139–1152.
CSCWCSCW-2015-ReineckeG #named #online
LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples (KR, KZG), pp. 1364–1378.
CSCWCSCW-2015-SiangliulueAGD #collaboration #towards
Toward Collaborative Ideation at Scale: Leveraging Ideas from Others to Generate More Creative and Diverse Ideas (PS, KCA, KZG, SPD), pp. 937–945.
HCIDHM-EH-2015-MaruyamaKD #adaptation #simulation
MoCap-Based Adaptive Human-Like Walking Simulation in Laser-Scanned Large-Scale as-Built Environments (TM, SK, HD), pp. 193–204.
HCIDHM-EH-2015-TianLYJCS #analysis #video
Single-Variable Scenario Analysis of Vehicle-Pedestrian Potential Crash Based on Video Analysis Results of Large-Scale Naturalistic Driving Data (RT, LL, KY, FJ, YC, RS), pp. 295–304.
HCIDUXU-UI-2015-LiHF #quality #requirements #user interface #using
Scaling Preferences of Different Stakeholders — Using the Example of Prioritizing Quality Requirements on User Interface Texts (YL, TH, PF), pp. 75–86.
HCIHCI-IT-2015-OnishiST #mobile
Investigation of Transferring Touch Events for Controlling a Mobile Device with a Large Touchscreen (KO, BS, JT), pp. 250–261.
ICEISICEIS-v1-2015-CerqueiraOG #community #framework #network #social
A Framework for Analysing Dynamic Communities in Large-scale Social Networks (VC, MDBO, JG), pp. 235–242.
ICEISICEIS-v1-2015-CostaFMO #clustering #database
Sharding by Hash Partitioning — A Database Scalability Pattern to Achieve Evenly Sharded Database Clusters (CHC, JVBMF, PHMM, FCMBO), pp. 313–320.
ICEISICEIS-v1-2015-FuD #graph #named #social
ROBE — Knitting a Tight Hub for Shortest Path Discovery in Large Social Graphs (LF, JD), pp. 97–107.
ICEISICEIS-v1-2015-Hasheela #comparison #enterprise
On-premise ERP Organizational Post-implementation Practices — Comparison between Large Enterprises and Small and Medium-Sized Enterprises (VH), pp. 243–250.
ICEISICEIS-v1-2015-OsbornM #set
The mqr-tree for Very Large Object Sets (WO, MM), pp. 367–373.
ICEISICEIS-v2-2015-BayaADM #approach #composition #product line
Dynamic Large Scale Product Lines through Modularization Approach (AB, BEA, ID, ZM), pp. 439–444.
CIKMCIKM-2015-0002GD #information management #ranking #web
Ranking Deep Web Text Collections for Scalable Information Extraction (PB0, LG, CD), pp. 153–162.
CIKMCIKM-2015-AltingovdeCT #distributed #information retrieval
LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval (ISA, BBC, NT), pp. 1947–1948.
CIKMCIKM-2015-BeecksUH0 #database #multi #performance #similarity
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases (CB, MSU, JH, TS0), pp. 1241–1250.
CIKMCIKM-2015-ChenCSS #graph #named
KSGM: Keynode-driven Scalable Graph Matching (XC, KSC, MLS, PS), pp. 1101–1110.
CIKMCIKM-2015-GarimellaMGS #graph
Scalable Facility Location for Massive Graphs on Pregel-like Systems (KG, GDFM, AG, MS), pp. 273–282.
CIKMCIKM-2015-JoKB #analysis #gpu #matrix #multi #network #performance #social
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis (YYJ, SWK, DHB), pp. 1261–1270.
CIKMCIKM-2015-KangGWM #algorithm #clustering #network
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks (YK, XG, WW0, DM), pp. 33–42.
CIKMCIKM-2015-LiuTL #learning #matrix #multi #named
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (LL, PNT, XL), pp. 881–890.
CIKMCIKM-2015-RezvaniLXL #identification #network #social
Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks (MR, WL, WX, CL), pp. 263–272.
CIKMCIKM-2015-SiersdorferKAZ #how #network #social #using
Who With Whom And How?: Extracting Large Social Networks Using Search Engines (SS, PK, HA, SZ), pp. 1491–1500.
CIKMCIKM-2015-Tomkins #analysis
Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives (AT), p. 1349.
CIKMCIKM-2015-WangCWD #ontology #owl #query #towards
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies (ZW0, MC, KW, JD), pp. 743–752.
CIKMCIKM-2015-WangYWH #proving
Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding (ZW, SY, HW, XH), pp. 1783–1786.
CIKMCIKM-2015-Wei0LQST #knowledge base #network
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances (ZW, JZ0, KL0, ZQ, ZS, GT), pp. 1331–1340.
ICMLICML-2015-Abbasi-YadkoriB #crowdsourcing #markov #problem
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing (YAY, PLB, XC, AM), pp. 1053–1062.
ICMLICML-2015-Betancourt #monte carlo
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling (MB), pp. 533–540.
ICMLICML-2015-DjolongaK #modelling
Scalable Variational Inference in Log-supermodular Models (JD, AK), pp. 1804–1813.
ICMLICML-2015-FilipponeE #linear #probability #process
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) (MF, RE), pp. 1015–1024.
ICMLICML-2015-GanCHCC #analysis #modelling #topic
Scalable Deep Poisson Factor Analysis for Topic Modeling (ZG, CC, RH, DEC, LC), pp. 1823–1832.
ICMLICML-2015-GrosseS #matrix
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.
ICMLICML-2015-HanMS #probability
Large-scale log-determinant computation through stochastic Chebyshev expansions (IH, DM, JS), pp. 908–917.
ICMLICML-2015-Hernandez-Lobato15b #learning #network #probability
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
ICMLICML-2015-HuHDX #distributed #parametricity
Large-scale Distributed Dependent Nonparametric Trees (ZH, QH, AD, EPX), pp. 1651–1659.
ICMLICML-2015-JohnsonG #named #optimisation
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization (TJ, CG), pp. 1171–1179.
ICMLICML-2015-LimKPJ #performance #set
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets (WL, MK, HP, KJ), pp. 1367–1375.
ICMLICML-2015-LiuFFM #modelling #relational
Scalable Model Selection for Large-Scale Factorial Relational Models (CL, LF, RF, YM), pp. 1227–1235.
ICMLICML-2015-MaLF #analysis #canonical #correlation #dataset #linear
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis (ZM, YL, DPF), pp. 169–178.
ICMLICML-2015-ParkNZSD #collaboration #ranking
Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.
ICMLICML-2015-SamoR #parametricity #process
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes (YLKS, SR), pp. 2227–2236.
ICMLICML-2015-SnoekRSKSSPPA #network #optimisation #using
Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
ICMLICML-2015-TraskGR #modelling #order #word
Modeling Order in Neural Word Embeddings at Scale (AT, DG, MR), pp. 2266–2275.
ICMLICML-2015-WenKA #combinator #learning #performance
Efficient Learning in Large-Scale Combinatorial Semi-Bandits (ZW, BK, AA), pp. 1113–1122.
ICMLICML-2015-WilsonN #kernel #process
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) (AGW, HN), pp. 1775–1784.
KDDKDD-2015-Agarwal #machine learning #statistics #web
Scaling Machine Learning and Statistics for Web Applications (DA), p. 1621.
KDDKDD-2015-AhnKLRW #distributed #matrix #probability #using
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
KDDKDD-2015-CaoWYR #dataset #online
Online Outlier Exploration Over Large Datasets (LC, MW, DY, EAR), pp. 89–98.
KDDKDD-2015-ElenbergSBD #distributed #framework #graph
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs (ERE, KS, MB, AGD), pp. 229–238.
KDDKDD-2015-GogaLSTG #network #on the #online #reliability #social
On the Reliability of Profile Matching Across Large Online Social Networks (OG, PL, RS, RT, KPG), pp. 1799–1808.
KDDKDD-2015-GrbovicRDBSBS #e-commerce #recommendation
E-commerce in Your Inbox: Product Recommendations at Scale (MG, VR, ND, NB, JS, VB, DS), pp. 1809–1818.
KDDKDD-2015-HallacLB #clustering #graph #network #optimisation
Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDDKDD-2015-KarakasidisKV #privacy
Scalable Blocking for Privacy Preserving Record Linkage (AK, GK, VSV), pp. 527–536.
KDDKDD-2015-KimS
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams (GK, LS), pp. 1899–1908.
KDDKDD-2015-LaptevAF #automation #detection #framework
Generic and Scalable Framework for Automated Time-series Anomaly Detection (NL, SA, IF), pp. 1939–1947.
KDDKDD-2015-LucierOS #distributed #network
Influence at Scale: Distributed Computation of Complex Contagion in Networks (BL, JO, YS), pp. 735–744.
KDDKDD-2015-MitzenmacherPPT #clique #detection #network
Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling (MM, JP, RP, CET, SCX), pp. 815–824.
KDDKDD-2015-SethiYRVR #classification #machine learning #using
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery (MS, YY, AR, RRV, SR), pp. 2069–2078.
KDDKDD-2015-ShanahanD #distributed #using
Large Scale Distributed Data Science using Apache Spark (JGS, LD), pp. 2323–2324.
KDDKDD-2015-TangQM #named #network #predict
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks (JT, MQ, QM), pp. 1165–1174.
KDDKDD-2015-TranHXFB #coordination #probability
Scaling Up Stochastic Dual Coordinate Ascent (KT, SH, LX, TF, MB), pp. 1185–1194.
KDDKDD-2015-XuCFSB #challenge #framework #network #social #testing
From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks (YX, NC, AF, OS, AB), pp. 2227–2236.
KDDKDD-2015-YanRHC #distributed #learning #modelling #optimisation #performance
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems (FY, OR, YH, TMC), pp. 1355–1364.
KDDKDD-2015-ZhangTMTJL #named #network #performance #similarity
Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
KDDKDD-2015-ZhengP #fault #kernel
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
KDDKDD-2015-ZhongLSR #recommendation
Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.
RecSysRecSys-2015-BistaffaFCR #recommendation #social
Recommending Fair Payments for Large-Scale Social Ridesharing (FB, AF, GC, SDR), pp. 139–146.
RecSysRecSys-2015-ChristoffelPNB #random #recommendation
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks (FC, BP, CN, AB), pp. 163–170.
RecSysRecSys-2015-HuD #machine learning #recommendation
Scalable Recommender Systems: Where Machine Learning Meets Search (SYDH, JD), pp. 365–366.
RecSysRecSys-2015-LerallutGR #realtime #recommendation
Large-Scale Real-Time Product Recommendation at Criteo (RL, DG, NLR), p. 232.
RecSysRecSys-2015-Nemeth #recommendation
Scaling Up Recommendation Services in Many Dimensions (BN), p. 233.
SEKESEKE-2015-ZhuSCW #programming #stack overflow #taxonomy
Building a Large-scale Software Programming Taxonomy from Stackoverflow (JZ, BS, XC, HW), pp. 391–396.
SIGIRSIGIR-2015-Alonso #lessons learnt #quality
Practical Lessons for Gathering Quality Labels at Scale (OA), pp. 1089–1092.
SIGIRSIGIR-2015-CanutoGSRM #approach #classification #documentation #parallel #performance
An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing (SDC, MAG, WS, TR, WM), pp. 333–342.
SIGIRSIGIR-2015-ChenLZLS #approximate #matrix #named #recommendation
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation (CC, DL, YZ, QL, LS), pp. 303–312.
SIGIRSIGIR-2015-EswaranBP #classification #modelling #topic
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification (DE, PNB, JJPI), pp. 787–790.
SIGIRSIGIR-2015-NovakBZ #image #retrieval #using
Large-scale Image Retrieval using Neural Net Descriptors (DN, MB, PZ), pp. 1039–1040.
SIGIRSIGIR-2015-PanYLNM #semantics #visual notation
Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search (YP, TY, HL, CWN, TM), pp. 53–62.
SIGIRSIGIR-2015-SchamoniR #information retrieval #orthogonal
Combining Orthogonal Information in Large-Scale Cross-Language Information Retrieval (SS, SR), pp. 943–946.
MODELSMoDELS-J-2011-Espinazo-PaganCM15 #model management #repository
A repository for scalable model management (JEP, JSC, JGM), pp. 219–239.
ECMFAECMFA-2015-BarmpisSK #incremental #towards
Towards Incremental Updates in Large-Scale Model Indexes (KB, SMS, DSK), pp. 137–153.
MoDELSMoDELS-2015-LettnerEGP #case study #experience #feature model #industrial #lessons learnt #modelling
Feature modeling of two large-scale industrial software systems: Experiences and lessons learned (DL, KE, PG, HP), pp. 386–395.
SPLCSPLC-2015-LiangGCR #analysis #feature model #modelling #satisfiability
SAT-based analysis of large real-world feature models is easy (JH(L, VG, KC, VR), pp. 91–100.
ECOOPECOOP-2015-ParkR #javascript #precise #static analysis
Scalable and Precise Static Analysis of JavaScript Applications via Loop-Sensitivity (CP, SR), pp. 735–756.
OOPSLAOOPSLA-2015-0003KLS #data type #memory management #multi #performance
Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures (MA, CMK, ML, AS), pp. 451–469.
OOPSLAOOPSLA-2015-BielikRV #android #concurrent #detection
Scalable race detection for Android applications (PB, VR, MTV), pp. 332–348.
PLDIPLDI-2015-MehtaY #compilation #optimisation #source code
Improving compiler scalability: optimizing large programs at small price (SM, PCY), pp. 143–152.
POPLPOPL-2015-DoddsHK #stack
A Scalable, Correct Time-Stamped Stack (MD, AH, CMK), pp. 233–246.
ASEASE-2015-KoLDR #framework #javascript #static analysis
Practically Tunable Static Analysis Framework for Large-Scale JavaScript Applications (T) (YK, HL, JD, SR), pp. 541–551.
ASEASE-2015-KowalTTS #modelling #parametricity #performance #variability
Scaling Size and Parameter Spaces in Variability-Aware Software Performance Models (T) (MK, MT, MT, IS), pp. 407–417.
ASEASE-2015-LerchSBM #abstraction #analysis #bound #data flow
Access-Path Abstraction: Scaling Field-Sensitive Data-Flow Analysis with Unbounded Access Paths (T) (JL, JS, EB, MM), pp. 619–629.
ESEC-FSEESEC-FSE-2015-Florio #adaptation #distributed #self
Decentralized self-adaptation in large-scale distributed systems (LF), pp. 1022–1025.
ESEC-FSEESEC-FSE-2015-ParameshwaranBS
Auto-patching DOM-based XSS at scale (IP, EB, SS, HD, AS, PS), pp. 272–283.
ICSEICSE-v1-2015-BaresiKR #ltl #performance #specification #verification
Efficient Scalable Verification of LTL Specifications (LB, MMPK, MR), pp. 711–721.
ICSEICSE-v1-2015-HenardPHT #configuration management #constraints #multi #product line #theorem proving
Combining Multi-Objective Search and Constraint Solving for Configuring Large Software Product Lines (CH, MP, MH, YLT), pp. 517–528.
ICSEICSE-v1-2015-PapadakisJHT #compilation #detection #effectiveness #empirical #equivalence #performance
Trivial Compiler Equivalence: A Large Scale Empirical Study of a Simple, Fast and Effective Equivalent Mutant Detection Technique (MP, YJ, MH, YLT), pp. 936–946.
ICSEICSE-v1-2015-SmithBZ #exclamation #tool support
Build It Yourself! Homegrown Tools in a Large Software Company (EKS, CB, TZ), pp. 369–379.
ICSEICSE-v1-2015-WeissRL #fault #program analysis
Database-Backed Program Analysis for Scalable Error Propagation (CW, CRG, BL), pp. 586–597.
ICSEICSE-v2-2015-BishopHXTH #contest #experience
Code Hunt: Experience with Coding Contests at Scale (JB, RNH, TX, NT, JdH), pp. 398–407.
ICSEICSE-v2-2015-DybaD #agile #development #project management #self
Agile Project Management: From Self-Managing Teams to Large-Scale Development (TD, TD), pp. 945–946.
ICSEICSE-v2-2015-Jiang #testing
Load Testing Large-Scale Software Systems (ZMJJ), pp. 955–956.
ICSEICSE-v2-2015-Kallehbasti #modelling #uml #verification
Scalable Formal Verification of UML Models (MMPK), pp. 847–850.
ICSEICSE-v2-2015-KlasBDSH #analysis #evaluation #modelling #testing
A Large-Scale Technology Evaluation Study: Effects of Model-based Analysis and Testing (MK, TB, AD, TS, PH), pp. 119–128.
ICSEICSE-v2-2015-RajanNL0 #behaviour #repository #specification
Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence (HR, TNN, GTL, RD), pp. 579–582.
ICSEICSE-v2-2015-Vendome #case study #git
A Large Scale Study of License Usage on GitHub (CV), pp. 772–774.
ICSEICSE-v2-2015-Zhang #mutation testing #testing
Scalability Studies on Selective Mutation Testing (JZ), pp. 851–854.
SACSAC-2015-BarringtonFD #multi
A scalable multi-producer multi-consumer wait-free ring buffer (AB, SDF, DD), pp. 1321–1328.
SACSAC-2015-BergentiCG #framework #game studies #mobile #platform #social
A scalable platform for mobile social gaming (FB, GC, DG), pp. 2239–2244.
SACSAC-2015-CanoA #feedback #multi #streaming
Feedback management for scaling clients in streaming multicast (JC, LA), pp. 669–671.
SACSAC-2015-CharuvakaR #approximate #classification #coordination
Approximate block coordinate descent for large scale hierarchical classification (AC, HR), pp. 837–844.
SACSAC-2015-ChengKWT #semantics #throughput #web
High throughput indexing for large-scale semantic web data (LC, SK, TEW, GT), pp. 416–422.
SACSAC-2015-KambonaBM #middleware #named #realtime #web
Serena: scalable middleware for real-time web applications (KK, EGB, WDM), pp. 802–805.
SACSAC-2015-KimK #using
Dual region write buffering: making large-scale nonvolatile buffer using small capacitor in SSD (DK, SK), pp. 2039–2046.
SACSAC-2015-MinHJCH #distributed #performance #process
An efficient backup-recovery technique to process large data in distributed key-value store (DM, TH, JJ, YC, JH), pp. 2072–2074.
SACSAC-2015-MonteiroL #clustering #power management #web
Scalable model for dynamic configuration and power management in virtualized heterogeneous web clusters (AFM, OL), pp. 464–467.
SACSAC-2015-MukherjeeKCDCM #as a service #design #framework #performance #platform
Performance characterization and scalable design of sensing-as-a-service platform (TM, AK, DC, KD, AC, AM), pp. 592–595.
SACSAC-2015-RiediBP #algorithm #performance
Channel and power allocation algorithm to optimize the performance of large WLANs (MR, GGB, MEP), pp. 673–679.
SACSAC-2015-SarmentoCG #evolution #visualisation
Visualization of evolving large scale ego-networks (RS, MC, JG), pp. 960–962.
GPCEGPCE-2015-AlsharaSTBDS #component #inheritance #migration #object-oriented
Migrating large object-oriented Applications into component-based ones: instantiation and inheritance transformation (ZA, ADS, CT, HLB, CD, AS), pp. 55–64.
ASPLOSASPLOS-2015-DavidGT #concurrent #data type
Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures (TD, RG, VT), pp. 631–644.
ASPLOSASPLOS-2015-MatveevS #hardware #hybrid #memory management #transaction
Reduced Hardware NOrec: A Safe and Scalable Hybrid Transactional Memory (AM, NS), pp. 59–71.
CASECASE-2015-GallertLRJT #2d #3d #biology #industrial #throughput
Biological high throughput screening of 2D and 3D cell cultures for future industrial up-scaling (CG, RL, TR, SJ, KT), pp. 1527–1532.
CASECASE-2015-WatteyneAV #lessons learnt
Lessons learned from large-scale dense IEEE802.15.4 connectivity traces (TW, CA, XV), pp. 145–150.
CCCC-2015-AllenSK #analysis #points-to #staged
Staged Points-to Analysis for Large Code Bases (NA, BS, PK), pp. 131–150.
CCCC-2015-HollingumS #context-free grammar #framework #reachability #towards
Towards a Scalable Framework for Context-Free Language Reachability (NH, BS), pp. 193–211.
CGOCGO-2015-OanceaR #analysis #induction
Scalable conditional induction variables (CIV) analysis (CEO, LR), pp. 213–224.
DACDAC-2015-ChiangCLJ #design #power management
Scalable sequence-constrained retention register minimization in power gating design (TWC, KHC, YTL, JHRJ), p. 6.
DACDAC-2015-HanF #analysis #approach #cpu #gpu #graph
Transient-simulation guided graph sparsification approach to scalable harmonic balance (HB) analysis of post-layout RF circuits leveraging heterogeneous CPU-GPU computing systems (LH, ZF), p. 6.
DACDAC-2015-PolianF #architecture #automation #challenge #design #quantum
Design automation challenges for scalable quantum architectures (IP, AGF), p. 6.
DACDAC-2015-TavanaHPSH #named
ElasticCore: enabling dynamic heterogeneity with joint core and voltage/frequency scaling (MKT, MHH, DP, IS, HH), p. 6.
DACDAC-2015-WenWHLHLC #framework #hybrid
An EDA framework for large scale hybrid neuromorphic computing systems (WW, CRW, XH, BL, TYH, XL, YC), p. 6.
DACDAC-2015-ZhuangYKWC #algorithm #exponential #framework #performance #simulation #using
An algorithmic framework for efficient large-scale circuit simulation using exponential integrators (HZ, WY, IK, XW, CKC), p. 6.
DATEDATE-2015-0001KVSMA #adaptation #embedded #energy #nondeterminism
Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems (AD, AK, BV, RAS, GVM, BMAH), pp. 43–48.
DATEDATE-2015-BalboniFB #configuration management #distributed #latency #multi #network #using
Synergistic use of multiple on-chip networks for ultra-low latency and scalable distributed routing reconfiguration (MB, JF, DB), pp. 806–811.
DATEDATE-2015-GomonyGAAG #memory management #realtime
A generic, scalable and globally arbitrated memory tree for shared DRAM access in real-time systems (MDG, JG, BA, NCA, KGWG), pp. 193–198.
DATEDATE-2015-HuangHC #algorithm #clustering #framework #multi #problem
Clustering-based multi-touch algorithm framework for the tracking problem with a large number of points (SLH, SYH, CPC), pp. 719–724.
DATEDATE-2015-MunchPHH #embedded #manycore #named #realtime #using
MPIOV: scaling hardware-based I/O virtualization for mixed-criticality embedded real-time systems using non transparent bridges to (multi-core) multi-processor systems (DM, MP, OH, AH), pp. 579–584.
DATEDATE-2015-SuHL #encoding #named #recognition
SubHunter: a high-performance and scalable sub-circuit recognition method with Prüfer-encoding (HYS, CHH, YLL), pp. 1583–1586.
DATEDATE-2015-WaqasGKSBSVC #heuristic #online #scheduling
A re-entrant flowshop heuristic for online scheduling of the paper path in a large scale printer (UW, MG, JK, LJS, TB, SS, PV, HC), pp. 573–578.
DATEDATE-2015-WeiDC #architecture #memory management #multi
A scalable and high-density FPGA architecture with multi-level phase change memory (CW, AD, DC), pp. 1365–1370.
DATEDATE-2015-ZhangZCY
Exploiting DRAM restore time variations in deep sub-micron scaling (XZ, YZ, BRC, JY), pp. 477–482.
HPCAHPCA-2015-BeckmannTS #distributed
Scaling distributed cache hierarchies through computation and data co-scheduling (NB, PAT, DS), pp. 538–550.
HPCAHPCA-2015-MenezoPG #energy #hybrid #performance #protocol
Flask coherence: A morphable hybrid coherence protocol to balance energy, performance and scalability (LGM, VP, JÁG), pp. 198–209.
HPCAHPCA-2015-NeuwirthFNB #architecture #communication
Scalable communication architecture for network-attached accelerators (SN, DF, MN, UB), pp. 627–638.
HPCAHPCA-2015-TiwariGRMRVOLDN #comprehension #design #fault #gpu
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation (DT, SG, JHR, DM, PR, SSV, DAGdO, DL, ND, POAN, LC, ASB), pp. 331–342.
HPCAHPCA-2015-WangM #approach #architecture #manycore #named #resource management
XChange: A market-based approach to scalable dynamic multi-resource allocation in multicore architectures (XW, JFM), pp. 113–125.
HPCAHPCA-2015-WonKKJPS #network
Overcoming far-end congestion in large-scale networks (JW, GK, JK, TJ, MP, SS), pp. 415–427.
HPCAHPCA-2015-ZhaoY #analysis #distance #manycore #reuse
Studying the impact of multicore processor scaling on directory techniques via reuse distance analysis (MZ, DY), pp. 590–602.
HPDCHPDC-2015-AkiyamaT #concurrent #thread
Uni-Address Threads: Scalable Thread Management for RDMA-Based Work Stealing (SA, KT), pp. 15–26.
HPDCHPDC-2015-KaxirasKNRS #approach #distributed #execution #memory management
Turning Centralized Coherence and Distributed Critical-Section Execution on their Head: A New Approach for Scalable Distributed Shared Memory (SK, DK, MN, AR, KFS), pp. 3–14.
HPDCHPDC-2015-WahibM #automation #gpu #kernel
Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications (MW, NM), pp. 259–270.
HPDCHPDC-2015-WangZQLMR #consistency #distributed #towards
Towards Scalable Distributed Workload Manager with Monitoring-Based Weakly Consistent Resource Stealing (KW, XZ, KQ, ML, BM, IR), pp. 219–222.
PDPPDP-2015-ConinckKVSBMF #algebra #matrix #parallel #predict #towards
Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra (ADC, DK, FV, OS, BDB, SM, JF), pp. 747–750.
PDPPDP-2015-Eitschberger0 #energy #manycore #scheduling
Energy-Efficient Task Scheduling in Manycore Processors with Frequency Scaling Overhead (PE, JK), pp. 541–548.
PDPPDP-2015-El-KazzazE #detection #framework #ubiquitous #using
A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data (SEK, AEM), pp. 274–278.
PDPPDP-2015-MorenoULC #data flow #framework #named #performance
NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart (JAM, OSÜ, JL, AC), pp. 99–102.
PDPPDP-2015-RohrL #flexibility #library #multi
A Flexible and Portable Large-Scale DGEMM Library for Linpack on Next-Generation Multi-GPU Systems (DR, VL), pp. 664–668.
PPoPPPPoPP-2015-AlistarhKLS #queue
The SprayList: a scalable relaxed priority queue (DA, JK, JL, NS), pp. 11–20.
PPoPPPPoPP-2015-ArbelM #concurrent
Predicate RCU: an RCU for scalable concurrent updates (MA, AM), pp. 21–30.
PPoPPPPoPP-2015-Golan-GuetaRSY #automation #semantics
Automatic scalable atomicity via semantic locking (GGG, GR, MS, EY), pp. 31–41.
PPoPPPPoPP-2015-SeoKK #graph #named #streaming
GStream: a graph streaming processing method for large-scale graphs on GPUs (HS, JK, MSK), pp. 253–254.
PPoPPPPoPP-2015-ThebaultPD #3d #assembly #case study #implementation #matrix #performance
Scalable and efficient implementation of 3d unstructured meshes computation: a case study on matrix assembly (LT, EP, QD), pp. 120–129.
SOSPSOSP-2015-AguileraLW #named #sql #web
Yesquel: scalable sql storage for web applications (MKA, JBL, MW), pp. 245–262.
SOSPSOSP-2015-FangNXDL #memory management #source code
Interruptible tasks: treating memory pressure as interrupts for highly scalable data-parallel programs (LF, KN, G(X, BD, SL), pp. 394–409.
SOSPSOSP-2015-HooffLZZ #analysis #named
Vuvuzela: scalable private messaging resistant to traffic analysis (JvdH, DL, MZ, NZ), pp. 137–152.
SOSPSOSP-2015-LeePKMO #implementation #latency
Implementing linearizability at large scale and low latency (CL, SJP, AK, SM, JKO), pp. 71–86.
FASEFASE-2015-GomezTSC #modelling #persistent
Map-Based Transparent Persistence for Very Large Models (AG, MT, GS, JC), pp. 19–34.
STOCSTOC-2015-DingSS #proving #satisfiability
Proof of the Satisfiability Conjecture for Large k (JD, AS, NS), pp. 59–68.
TACASTACAS-2015-ChakrabortyFMSV #generative #on the #parallel #satisfiability
On Parallel Scalable Uniform SAT Witness Generation (SC, DJF, KSM, SAS, MYV), pp. 304–319.
TACASTACAS-2015-GuanTAS0 #analysis #refinement
Scalable Timing Analysis with Refinement (NG, YT, JA, MS, WY), pp. 3–18.
TACASTACAS-2015-KumarSK #concept #slicing
Value Slice: A New Slicing Concept for Scalable Property Checking (SK, AS, UPK), pp. 101–115.
ICLPICLP-J-2015-MannaRT #consistency #query
Taming primary key violations to query large inconsistent data via ASP (MM, FR, GT), pp. 696–710.
ICSTICST-2015-LiEGO #big data #framework
A Scalable Big Data Test Framework (NL, AE, YG, JO), pp. 1–2.
ISSTAISSTA-2015-HuangDMD #analysis #android #precise
Scalable and precise taint analysis for Android (WH, YD, AM, JD), pp. 106–117.
ISSTAISSTA-2015-WangGMC #android #approach #clone detection #detection #named
WuKong: a scalable and accurate two-phase approach to Android app clone detection (HW, YG, ZM, XC), pp. 71–82.
ICSTSAT-2015-MangalZNN #framework #lazy evaluation #named #satisfiability
Volt: A Lazy Grounding Framework for Solving Very Large MaxSAT Instances (RM, XZ, AVN, MN), pp. 299–306.
TAPTAP-2015-AichernigNT #behaviour #generative #incremental #modelling #testing
Scalable Incremental Test-case Generation from Large Behavior Models (BKA, DN, ST), pp. 1–18.
ECSAECSA-2014-XiongFPM #architecture #as a service #cost analysis #performance #platform
Scalable Architectures for Platform-as-a-Service Clouds: Performance and Cost Analysis (HX, FF, CP, NM), pp. 226–233.
WICSAWICSA-2014-AmorimAM #architecture #ecosystem
Scalability of Ecosystem Architectures (SdSA, ESdA, JDM), pp. 49–52.
DRRDRR-2014-JainOD #documentation #image #retrieval #using
Scalable ranked retrieval using document images (RJ, DWO, DSD), p. ?–15.
HTHT-2014-AbbasiTL #learning #using
Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.
HTHT-2014-ChengKWT #architecture #distributed #memory management #performance #rdf
A two-tier index architecture for fast processing large RDF data over distributed memory (LC, SK, TEW, GT), pp. 300–302.
HTHT-2014-GouritenMS #adaptation #crawling
Scalable, generic, and adaptive systems for focused crawling (GG, SM, PS), pp. 35–45.
HTHT-2014-LacicKT #named #online #recommendation #social
SocRecM: a scalable social recommender engine for online marketplaces (EL, DK, CT), pp. 308–310.
JCDLJCDL-2014-ChenKG #library #metadata
The feasibility of investing in manual correction of metadata for a large-scale digital library (HHC, MK, CLG), pp. 225–228.
JCDLJCDL-2014-GaoWLXMW #performance #retrieval
Fast Image-based Chinese Calligraphic Character Retrieval on Large Scale Data (PG, JW, YL, YX, TM, BW), pp. 211–220.
JCDLJCDL-2014-Hall #library
Explore the stacks: A system for exploration in large digital libraries (MMH), pp. 417–418.
JCDLJCDL-2014-JurikBFM #repository
Bridging the gap between real world repositories and Scalable Preservation Environments (BAJ, AAB, RBFN, PMD), pp. 127–136.
JCDLJCDL-2014-KanhabuaNN #analysis #memory management #what #wiki
What triggers human remembering of events? A large-scale analysis of catalysts for collective memory in Wikipedia (NK, TNN, CN), pp. 341–350.
JCDLJCDL-2014-ZhouTG #analysis #web
Extraction and analysis of referenced web links in large-scale scholarly articles (KZ, RT, CG), pp. 451–452.
SIGMODSIGMOD-2014-AlvanakiM #correlation #set
Tracking set correlations at large scale (FA, SM), pp. 1507–1518.
SIGMODSIGMOD-2014-BailisFHGS #transaction
Scalable atomic visibility with RAMP transactions (PB, AF, JMH, AG, IS), pp. 27–38.
SIGMODSIGMOD-2014-CaiGLPVJ #algorithm #comparison #implementation #machine learning #platform
A comparison of platforms for implementing and running very large scale machine learning algorithms (ZC, ZJG, SL, LLP, ZV, CMJ), pp. 1371–1382.
SIGMODSIGMOD-2014-ChenGLMPVK #manycore #named
Palette: enabling scalable analytics for big-memory, multicore machines (FC, TG, JL, MM, JP, KV, MK), pp. 705–708.
SIGMODSIGMOD-2014-CuiXWW #community #graph
Local search of communities in large graphs (WC, YX, HW, WW), pp. 991–1002.
SIGMODSIGMOD-2014-HuangCQTY #community #graph #query
Querying k-truss community in large and dynamic graphs (XH, HC, LQ, WT, JXY), pp. 1311–1322.
SIGMODSIGMOD-2014-KaranasosBKOEXJ #optimisation #platform #query
Dynamically optimizing queries over large scale data platforms (KK, AB, MK, , VE, CX, JJ), pp. 943–954.
SIGMODSIGMOD-2014-KimHLPY #framework #graph #named #parallel
OPT: a new framework for overlapped and parallel triangulation in large-scale graphs (JK, WSH, SL, KP, HY), pp. 637–648.
SIGMODSIGMOD-2014-KusumotoMK #similarity
Scalable similarity search for SimRank (MK, TM, KiK), pp. 325–336.
SIGMODSIGMOD-2014-LiuWZZK #behaviour #modelling #named #social
HYDRA: large-scale social identity linkage via heterogeneous behavior modeling (SL, SW, FZ, JZ, RK), pp. 51–62.
SIGMODSIGMOD-2014-MondalD #graph #named #query
EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs (JM, AD), pp. 1335–1346.
SIGMODSIGMOD-2014-PolychroniouR #clustering #in memory
A comprehensive study of main-memory partitioning and its application to large-scale comparison- and radix-sort (OP, KAR), pp. 755–766.
SIGMODSIGMOD-2014-QinYCCZL #graph #pipes and filters
Scalable big graph processing in MapReduce (LQ, JXY, LC, HC, CZ, XL), pp. 827–838.
SIGMODSIGMOD-2014-ShaoCCMYX #graph #parallel
Parallel subgraph listing in a large-scale graph (YS, BC, LC, LM, JY, NX), pp. 625–636.
SIGMODSIGMOD-2014-WuJZ #graph #nearest neighbour #performance #query #random
Fast and unified local search for random walk based k-nearest-neighbor query in large graphs (YW, RJ, XZ), pp. 1139–1150.
SIGMODSIGMOD-2014-ZengGGMZ #approximate #named #query
ABS: a system for scalable approximate queries with accuracy guarantees (KZ, SG, JG, BM, CZ), pp. 1067–1070.
SIGMODSIGMOD-2014-ZhangYFLY #named #realtime
OceanRT: real-time analytics over large temporal data (SZ, YY, WF, LL, MY), pp. 1099–1102.
SIGMODSIGMOD-2014-ZhuLWX #approach #graph #order #query #reachability
Reachability queries on large dynamic graphs: a total order approach (ADZ, WL, SW, XX), pp. 1323–1334.
VLDBVLDB-2014-AlsubaieeAABBBCCCFGGHKLLOOPTVWW #named #open source
AsterixDB: A Scalable, Open Source BDMS (SA, YA, HA, AB, VRB, YB, MJC, IC, MC, KF, EG, RG, ZH, YSK, CL, GL, JMO, NO, PP, VJT, RV, JW, TW), pp. 1905–1916.
VLDBVLDB-2014-BoehmTRSTBV #hybrid #machine learning #parallel
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML (MB, ST, BR, PS, YT, DB, SV), pp. 553–564.
VLDBVLDB-2014-BrunoKW #distributed
Advanced Join Strategies for Large-Scale Distributed Computation (NB, YK, MCW), pp. 1484–1495.
VLDBVLDB-2014-ElseidyASK #graph #mining #named
GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph (ME, EA, SS, PK), pp. 517–528.
VLDBVLDB-2014-ElseidyEVK #adaptation #online
Scalable and Adaptive Online Joins (ME, AE, AV, CK), pp. 441–452.
VLDBVLDB-2014-GuptaSGGZLL #detection #graph #online #realtime #recommendation #twitter
Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.
VLDBVLDB-2014-GuptaYGKCLWDKABHCSJSGVA #named #realtime
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing (AG, FY, JG, AK, KC, KL, SW, SGD, ARK, AA, SB, MH, JC, MS, DJ, JS, AG, SV, DA), pp. 1259–1270.
VLDBVLDB-2014-HuangBJW #network #realtime
Large Scale Real-time Ridesharing with Service Guarantee on Road Networks (YH, FB, RJ, XSW), pp. 2017–2028.
VLDBVLDB-2014-Jiang0OTW #big data #named
epiC: an Extensible and Scalable System for Processing Big Data (DJ, GC, BCO, KLT, SW), pp. 541–552.
VLDBVLDB-2014-KonstantinidisA #constraints #integration #optimisation
Optimizing the Chase: Scalable Data Integration under Constraints (GK, JLA), pp. 1869–1880.
VLDBVLDB-2014-KuhlenkampKR #benchmark #database #distributed #metric
Benchmarking Scalability and Elasticity of Distributed Database Systems (JK, MK, OR), pp. 1219–1230.
VLDBVLDB-2014-Lu0OVW #named #pipes and filters
ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper] (PL, GC, BCO, HTV, SW), pp. 1797–1808.
VLDBVLDB-2014-MahmoudANAA #coordination #distributed #effectiveness #in the cloud #named #transaction
MaaT: Effective and scalable coordination of distributed transactions in the cloud (HAM, VA, FN, DA, AEA), pp. 329–340.
VLDBVLDB-2014-QuamarDL #graph #named
NScale: Neighborhood-centric Analytics on Large Graphs (AQ, AD, JL), pp. 1673–1676.
VLDBVLDB-2014-SerafiniMASRM #database #distributed #named #transaction
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions (MS, EM, AA, KS, TR, UFM), pp. 1035–1046.
VLDBVLDB-2014-SimmenSDHLMSTX #big data #graph
Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery (DES, KS, JD, YH, SL, AM, VS, MT, YX), pp. 1405–1416.
VLDBVLDB-2014-SuhSZ #empirical #information management #named
AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies (YKS, RTS, RZ), pp. 1641–1644.
VLDBVLDB-2014-SunRYD #classification #crowdsourcing #machine learning #named #using
Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing (CS, NR, FY, AD), pp. 1529–1540.
VLDBVLDB-2014-VemuriVPL #execution
Execution Primitives for Scalable Joins and Aggregations in Map Reduce (SV, MV, KP, RL), pp. 1462–1473.
VLDBVLDB-2014-WangJ #memory management
Scalable Logging through Emerging Non-Volatile Memory (TW, RJ), pp. 865–876.
VLDBVLDB-2014-YuanDZLNHWDY #distributed #mobile #named
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data (MY, KD, JZ, YL, BN, XH, FW, WD, QY), pp. 1561–1564.
VLDBVLDB-2014-ZhangYFW #design #implementation #interactive #realtime
Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data (SZ, YY, WF, MW), pp. 1754–1759.
VLDBVLDB-2015-El-KishkySWVH14 #corpus #mining #topic
Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
VLDBVLDB-2015-FujiwaraIKO14 #image #ranking #retrieval
Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.
VLDBVLDB-2015-LuCYW14 #distributed #evaluation #graph
Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation (YL, JC, DY, HW), pp. 281–292.
VLDBVLDB-2015-MozafariSFJM14 #dataset #learning
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (BM, PS, MJF, MIJ, SM), pp. 125–136.
VLDBVLDB-2015-ZengPP14 #induction #logic programming #named
QuickFOIL: Scalable Inductive Logic Programming (QZ, JMP, DP), pp. 197–208.
VLDBVLDB-2015-ZhouGSY14 #distributed #graph #named #online #using
MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing (CZ, JG, BS, JXY), pp. 377–388.
EDMEDM-2014-BakerO #detection #effectiveness
Cost-Effective, Actionable Engagement Detection at Scale (RSB, JO), pp. 345–346.
EDMEDM-2014-WixonAMBRW #detection
The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection (MW, IA, KM, WB, DR, BPW), pp. 145–152.
ITiCSEITiCSE-2014-KothiyalMI #learning #question
Think-pair-share in a large CS1 class: does learning really happen? (AK, SM, SI), pp. 51–56.
ITiCSEITiCSE-2014-RomeroTPKCAL #case study #interactive
Augmenting PBL with large public presentations: a case study in interactive graphics pedagogy (MR, BT, CP, FK, JC, JA, NL), pp. 15–20.
SANERCSMR-WCRE-2014-AutiliIT #internet #named
CHOREOS: Large scale choreographies for the future internet (MA, PI, MT), pp. 391–394.
ICPCICPC-2014-GuptaSVU #assessment #industrial #named #quality
SCQAM: a scalable structured code quality assessment method for industrial software (SG, HKS, RDV, UU), pp. 244–252.
ICSMEICSME-2014-KyriakakisC #maintenance #php #web
Maintenance Patterns of Large-Scale PHP Web Applications (PK, AC), pp. 381–390.
ICSMEICSME-2014-LandmanSV #analysis #corpus #empirical #java
Empirical Analysis of the Relationship between CC and SLOC in a Large Corpus of Java Methods (DL, AS, JJV), pp. 221–230.
ICSMEICSME-2014-MongioviMGSR #refactoring #testing
Scaling Testing of Refactoring Engines (MM, GM, RG, GS, MR), pp. 371–380.
ICSMEICSME-2014-ZhangHD #automation #parallel #simulation #tool support #validation
Tools for Enabling Automatic Validation of Large-Scale Parallel Application Simulations (DZ, GH, DD), pp. 601–604.
MSRMSR-2014-FarahTC #analysis #architecture #named #quality
OpenHub: a scalable architecture for the analysis of software quality attributes (GF, JST, DC), pp. 420–423.
SCAMSCAM-2014-KargenS #performance #slicing
Efficient Utilization of Secondary Storage for Scalable Dynamic Slicing (UK, NS), pp. 155–164.
SCAMSCAM-2014-TliliFBDH #security #verification
Scalable Security Verification of Software at Compile Time (ST, JMF, AB, BD, SH), pp. 115–124.
CIAACIAA-2014-BrzozowskiS
Large Aperiodic Semigroups (JAB, MS), pp. 124–135.
HaskellHaskell-2014-MaierST #domain-specific language #reliability
The HdpH DSLs for scalable reliable computation (PM0, RJS, PT), pp. 65–76.
ICFPICFP-2014-ChenAT #functional #programming #self
Functional programming for dynamic and large data with self-adjusting computation (YC, UAA, KT), pp. 227–240.
IFLIFL-2014-AchtenSDP #composition #interactive #programming
Task Oriented Programming with Purely Compositional Interactive Scalable Vector Graphics (PA, JS, LD, RP), p. 7.
AIIDEAIIDE-2014-PlchMOCGB
An AI System for Large Open Virtual World (TP, MM, PO, MC0, JG, CB).
CoGCIG-2014-BarrosT #game studies
Exploring a large space of small games (GABB, JT), pp. 1–2.
CoGCIG-2014-SifaBD #modelling
The Playtime Principle: Large-scale cross-games interest modeling (RS, CB, AD), pp. 1–8.
CHICHI-2014-DengRKBBF #multi
Scalable multi-label annotation (JD, OR, JK, MSB, ACB, FFL), pp. 3099–3102.
CHICHI-2014-FeltRAC
Experimenting at scale with google chrome’s SSL warning (APF, RWR, HA, SC), pp. 2667–2670.
CHICHI-2014-JotaLWJ #how
Let’s kick it: how to stop wasting the bottom third of your large screen display (RJ, PL, DW, JAJ), pp. 1411–1414.
CHICHI-2014-PedersenSH #using
Is my phone alive?: a large-scale study of shape change in handheld devices using videos (EWP, SS, KH), pp. 2579–2588.
CHICHI-2014-ShiraziHDPWS #assessment #mobile
Large-scale assessment of mobile notifications (ASS, NH, TD, MP, DW, AS), pp. 3055–3064.
CHICHI-2014-Unander-ScharinUH #interactive
The vocal chorder: empowering opera singers with a large interactive instrument (CUS, ÅUS, KH), pp. 1001–1010.
CSCWCSCW-2014-BhattacharyaGKMZGG #microblog #topic #twitter
Deep Twitter diving: exploring topical groups in microblogs at scale (PB, SG, JK, MM, MBZ, NG, KPG), pp. 197–210.
CSCWCSCW-2014-Ribes #framework #how #research
Ethnography of scaling, or, how to a fit a national research infrastructure in the room (DR), pp. 158–170.
HCIDUXU-DI-2014-FigueiredoPNMTTAF #industrial #navigation
In-Place Natural and Effortless Navigation for Large Industrial Scenarios (LSF, MP, EVN, TM, JMXNT, VT, PA, DQdF), pp. 550–561.
HCIDUXU-DP-2014-KarapantelakisG #deployment #design #effectiveness #evaluation #social
Design, Deployment and Evaluation of a Social Tool for Developing Effective Working Relationships in Large Organizations (AK, YG), pp. 49–60.
HCIDUXU-DP-2014-ZhangZLH #experience #platform #research #usability #user interface
Cross-Platform Product Usability and Large Screen User Experience: A Teleconference System U&E Research (YZ, CZ, GL, TH), pp. 469–479.
HCIHCI-TMT-2014-LatoschikF #multimodal #reuse
Engineering Variance: Software Techniques for Scalable, Customizable, and Reusable Multimodal Processing (MEL, MF), pp. 308–319.
HCIHIMI-DE-2014-ValdezSZH #clustering #network #platform #research #social #visualisation
Enhancing Interdisciplinary Cooperation by Social Platforms — Assessing the Usefulness of Bibliometric Social Network Visualization in Large-Scale Research Clusters (ACV, AKS, MZ, AH), pp. 298–309.
VISSOFTVISSOFT-2014-BlouinMBS #metamodelling #visualisation
Slicing-Based Techniques for Visualizing Large Metamodels (AB, NM, BB, HAS), pp. 25–29.
EDOCEDOC-2014-KurodaG #dependence #modelling
Model-Based IT Change Management for Large System Definitions with State-Related Dependencies (TK, ASG), pp. 170–179.
ICEISICEIS-v1-2014-ChinoGRTT #named
TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series (DYTC, RRdVG, LASR, CTJ, AJMT), pp. 60–69.
ICEISICEIS-v1-2014-KahkonenMS #enterprise #integration #what
What Are the Factors Affecting ERP System Integration? — Observations from a Large Manufacturing Enterprise (TK, AM, KS), pp. 5–17.
CIKMCIKM-2014-CohenDPW #sketching
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees (EC, DD, TP, RFW), pp. 629–638.
CIKMCIKM-2014-KalyanakrishnanSK #on the #online
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (SK, DS, RK), pp. 669–678.
CIKMCIKM-2014-LiuXCXTY #approach #bound #linear #network #social
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach (QL, BX, EC, HX, FT, JXY), pp. 171–180.
CIKMCIKM-2014-QianSS #database #multi #statistics
Computing Multi-Relational Sufficient Statistics for Large Databases (ZQ, OS, YLS), pp. 1249–1258.
CIKMCIKM-2014-RenTOS #how #people #web
How People Use the Web in Large Indoor Spaces (YR, MT, KO, MS), pp. 1879–1882.
CIKMCIKM-2014-SpirinHDKB #analysis #facebook #graph #network #online #people #query #social
People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs (NVS, JH, MD, KGK, MB), pp. 1009–1018.
CIKMCIKM-2014-TongWZ #incremental #repository
Compact Auxiliary Dictionaries for Incremental Compression of Large Repositories (JT, AW, JZ), pp. 1629–1638.
CIKMCIKM-2014-TongZC0 #graph #nondeterminism #performance #probability
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs (YT, XZ, CCC, LC), pp. 809–818.
CIKMCIKM-2014-UysalBSS #approximate #database #distance #multi #performance #using
Efficient Filter Approximation Using the Earth Mover’s Distance in Very Large Multimedia Databases with Feature Signatures (MSU, CB, JS, TS), pp. 979–988.
CIKMCIKM-2014-VatsalanC #database #multi #privacy
Scalable Privacy-Preserving Record Linkage for Multiple Databases (DV, PC), pp. 1795–1798.
CIKMCIKM-2014-WangSZS #performance #semantics #similarity
Sparse Semantic Hashing for Efficient Large Scale Similarity Search (QW, BS, ZZ, LS), pp. 1899–1902.
CIKMCIKM-2014-WuF #documentation #query
Document Prioritization for Scalable Query Processing (HW, HF), pp. 1609–1618.
CIKMCIKM-2014-YangQ #image #mobile #retrieval #verification
Spatial Verification for Scalable Mobile Image Retrieval (XY, XQ), pp. 1903–1906.
CIKMCIKM-2014-YinG #distributed
Scalable Distributed Belief Propagation with Prioritized Block Updates (JY, LG), pp. 1209–1218.
CIKMCIKM-2014-YuanW0 #graph #nondeterminism #query
Pattern Match Query in a Large Uncertain Graph (YY, GW, LC), pp. 519–528.
CIKMCIKM-2014-YuanWYC #big data #database #grid #staged
Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications (LYY, LW, JHY, YC), pp. 1–10.
CIKMCIKM-2014-YuX #interactive #learning #network #predict #social
Learning Interactions for Social Prediction in Large-scale Networks (XY, JX), pp. 161–170.
CIKMCIKM-2014-ZhangKLCY #approach #named
NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites (JZ, XK, RJL, YC, PSY), pp. 709–718.
CIKMCIKM-2014-ZhangP #graph #nondeterminism
Scalable Vaccine Distribution in Large Graphs given Uncertain Data (YZ, BAP), pp. 1719–1728.
CIKMCIKM-2014-ZhengZLHZ #graph #performance
Efficient Subgraph Skyline Search Over Large Graphs (WZ, LZ, XL, LH, DZ), pp. 1529–1538.
ECIRECIR-2014-HoulsbyC #probability
A Scalable Gibbs Sampler for Probabilistic Entity Linking (NH, MC), pp. 335–346.
ECIRECIR-2014-YangPSS #case study #e-commerce #query #using
A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs (BY, NP, GS, NS), pp. 235–246.
ICMLICML-c1-2014-BardenetDH #adaptation #approach #markov #monte carlo #towards
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach (RB, AD, CCH), pp. 405–413.
ICMLICML-c1-2014-MannM #approximate #policy
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations (TAM, SM), pp. 127–135.
ICMLICML-c1-2014-Yu0KD #learning #multi
Large-scale Multi-label Learning with Missing Labels (HFY, PJ, PK, ISD), pp. 593–601.
ICMLICML-c2-2014-AgarwalKKSV #multi #predict
Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.
ICMLICML-c2-2014-BratieresQNG #graph #grid #predict #process
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications (SB, NQ, SN, ZG), pp. 334–342.
ICMLICML-c2-2014-ChakrabartiFCM #multi #network
Joint Inference of Multiple Label Types in Large Networks (DC, SF, JC, SAM), pp. 874–882.
ICMLICML-c2-2014-Hernandez-LobatoHG #matrix #modelling #probability
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices (JMHL, NH, ZG), pp. 379–387.
ICMLICML-c2-2014-HuangCG #estimation
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation (QXH, YC, LJG), pp. 64–72.
ICMLICML-c2-2014-KimO #process
Hierarchical Dirichlet Scaling Process (DK, AHO), pp. 973–981.
ICMLICML-c2-2014-MalekAB #linear #markov #problem #programming
Linear Programming for Large-Scale Markov Decision Problems (AM, YAY, PLB), pp. 496–504.
ICMLICML-c2-2014-MinskerSLD #robust
Scalable and Robust Bayesian Inference via the Median Posterior (SM, SS, LL, DBD), pp. 1656–1664.
ICMLICML-c2-2014-RaiWGCDC #composition #multi #rank
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.
ICMLICML-c2-2014-Sohl-DicksteinPG #optimisation #performance #probability
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods (JSD, BP, SG), pp. 604–612.
ICMLICML-c2-2014-TamarMX #approximate #robust #using
Scaling Up Robust MDPs using Function Approximation (AT, SM, HX), pp. 181–189.
ICMLICML-c2-2014-TuZWQ #analysis
Making Fisher Discriminant Analysis Scalable (BT, ZZ, SW, HQ), pp. 964–972.
ICMLICML-c2-2014-WangLYFWY #algorithm #modelling #parallel
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models (JW, QL, SY, WF, PW, JY), pp. 235–243.
ICMLICML-c2-2014-WangWY #reduction
Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
ICPRICPR-2014-AliNB #classification #constraints #image #probability
Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification (WBHA, RN, MB), pp. 232–237.
ICPRICPR-2014-BlondelFU #multi
Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex (MB, AF, NU), pp. 1289–1294.
ICPRICPR-2014-OskarssonAT #graph #multi
Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, , AT), pp. 750–755.
ICPRICPR-2014-PandaKC #graph #random #summary #using #video
Scalable Video Summarization Using Skeleton Graph and Random Walk (RP, SKK, ASC), pp. 3481–3486.
ICPRICPR-2014-SalmonW #on the #recognition
On the Scalability of Graphic Symbol Recognition (JPS, LW), pp. 533–537.
ICPRICPR-2014-SantoshWAT #detection #image
Scalable Arrow Detection in Biomedical Images (KCS, LW, SA, GRT), pp. 3257–3262.
ICPRICPR-2014-ScottEMFA #pattern matching
GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching (GJS, ME, KM, ZF, DTA), pp. 1880–1885.
ICPRICPR-2014-SinghKZ #detection #difference #image #markov #multi
A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences (PS, ZK, JZ), pp. 924–929.
ICPRICPR-2014-WuK #geometry #image #invariant #retrieval
Image Retrieval Based on Anisotropic Scaling and Shearing Invariant Geometric Coherence (XW, KK), pp. 3951–3956.
ICPRICPR-2014-XingY #categorisation #image #parametricity #representation
Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation (SX, NHCY), pp. 1365–1370.
KDDKDD-2014-AnagnostopoulosT #big data
Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDDKDD-2014-BenderskyPHJL #retrieval #video
Up next: retrieval methods for large scale related video suggestion (MB, LGP, JJH, VJ, DL), pp. 1769–1778.
KDDKDD-2014-Bengio #learning
Scaling up deep learning (YB), p. 1966.
KDDKDD-2014-BensonRS #learning #multi #network
Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDDKDD-2014-ChenCW #classification #performance
Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.
KDDKDD-2014-ChiaS #mining #predict
Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks (CCC, ZS), pp. 125–134.
KDDKDD-2014-DalessandroCRPWP #learning #online
Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
KDDKDD-2014-HerodotouDBOF #locality #network #realtime
Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDDKDD-2014-HuHA #e-commerce #modelling #social
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.
KDDKDD-2014-JagadeeshPBDS #image #recommendation #visual notation
Large scale visual recommendations from street fashion images (VJ, RP, AB, WD, NS), pp. 1925–1934.
KDDKDD-2014-JiangCBFY #behaviour #graph #named
CatchSync: catching synchronized behavior in large directed graphs (MJ, PC, AB, CF, SY), pp. 941–950.
KDDKDD-2014-KhalilDS #network #optimisation
Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
KDDKDD-2014-LeeLTS #modelling #recommendation
Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
KDDKDD-2014-LinRRYRF #clustering #enterprise
Unveiling clusters of events for alert and incident management in large-scale enterprise it (DL, RR, VR, JY, RR, JF), pp. 1630–1639.
KDDKDD-2014-LofgrenBGC #estimation #graph #named #personalisation #rank
FAST-PPR: scaling personalized pagerank estimation for large graphs (PL, SB, AG, SC), pp. 1436–1445.
KDDKDD-2014-PerozziASM #clustering #detection #graph
Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDDKDD-2014-PurohitPKZS #network #performance
Fast influence-based coarsening for large networks (MP, BAP, CK, YZ, VSS), pp. 1296–1305.
KDDKDD-2014-RadosavljevikP #interface #modelling #predict
Large scale predictive modeling for micro-simulation of 3G air interface load (DR, PvdP), pp. 1620–1629.
KDDKDD-2014-SchubertWK #detection #named #topic
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
KDDKDD-2014-SongZSS #behaviour #predict
Prediction of human emergency behavior and their mobility following large-scale disaster (XS, QZ, YS, RS), pp. 5–14.
KDDKDD-2014-SpasojevicYRB #multi #named #network #social #topic
LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDDKDD-2014-TamersoyRC #detection #graph #mining
Guilt by association: large scale malware detection by mining file-relation graphs (AT, KAR, DHC), pp. 1524–1533.
KDDKDD-2014-TangL #probability
Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
KDDKDD-2014-WangNH #adaptation #induction #learning
Large-scale adaptive semi-supervised learning via unified inductive and transductive model (DW, FN, HH), pp. 482–491.
KDDKDD-2014-WeiSZL0
Scalable heterogeneous translated hashing (YW, YS, YZ, BL, QY), pp. 791–800.
KDDKDD-2014-YangKSG #modelling #topic #twitter
Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDDKDD-2014-ZhangZ
Large margin distribution machine (TZ, ZHZ), pp. 313–322.
KDDKDD-2014-ZongWSSCHY #mining #towards
Towards scalable critical alert mining (BZ, YW, JS, AKS, , JH, XY), pp. 1057–1066.
KDIRKDIR-2014-HubwieserM #education #mining #set
Competency Mining in Large Data Sets — Preparing Large Scale Investigations in Computer Science Education (PH, AM), pp. 315–322.
KDIRKDIR-2014-PassonneauRX #detection #mining
Company Mention Detection for Large Scale Text Mining (RJP, TR, BX), pp. 512–520.
MLDMMLDM-2014-AnandWA #information management
A Method of Crowd-Sourced Information Extraction From Large Data Files (IMA, AW, PA), pp. 431–436.
RecSysRecSys-2014-BastianHVSSKUL #topic
LinkedIn skills: large-scale topic extraction and inference (MB, MH, WV, SS, PS, HJK, SU, CL), pp. 1–8.
RecSysRecSys-2014-ZhangOFL #modelling #network #social
Scalable audience targeted models for brand advertising on social networks (KZ, AMO, SF, HL), pp. 341–344.
SIGIRSIGIR-2014-BabbarPGA #approach #classification #distributed #ranking
Re-ranking approach to classification in large-scale power-law distributed category systems (RB, IP, ÉG, MRA), pp. 1059–1062.
SIGIRSIGIR-2014-CambazogluB #challenge #performance #web
Scalability and efficiency challenges in large-scale web search engines (BBC, RABY), p. 1285.
SIGIRSIGIR-2014-DamH #topic #verification
Large-scale author verification: temporal and topical influences (MvD, CH), pp. 1039–1042.
SIGIRSIGIR-2014-GiangrecoKS #database #information retrieval #multi #named #query
ADAM: a system for jointly providing ir and database queries in large-scale multimedia retrieval (IG, IAK, HS), pp. 1257–1258.
SIGIRSIGIR-2014-LengCL #image #learning #random #retrieval
Random subspace for binary codes learning in large scale image retrieval (CL, JC, HL), pp. 1031–1034.
SIGIRSIGIR-2014-Zhang #graph #rdf
Graph-based large scale RDF data compression (WEZ), p. 1276.
BXBX-2014-BeineHWC #bidirectional #case study #database #evolution
Bidirectional Transformations in Database Evolution: A Case Study “At Scale” (MB, NH, JHW, AC), pp. 100–107.
ECMFAECMFA-2014-BarmpisK #modelling #query #towards
Towards Scalable Querying of Large-Scale Models (KB, DSK), pp. 35–50.
ECMFAECMFA-2014-BenelallamGSTL #emf #modelling #persistent
Neo4EMF, A Scalable Persistence Layer for EMF Models (AB, AG, GS, MT, DL), pp. 230–241.
MODELSMoDELS-2014-BousseCB14a
Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MODELSMoDELS-2014-ShahWKRPB #benchmark #framework #metric #persistent
A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence (SMS, RW, DSK, LMR, RFP, KB), pp. 586–601.
PLDIPLDI-2014-MitraLABSG #analysis #debugging #parallel
Accurate application progress analysis for large-scale parallel debugging (SM, IL, DHA, SB, MS, TG), p. 23.
RERE-2014-BreauxS #policy #privacy #requirements
Scaling requirements extraction to the crowd: Experiments with privacy policies (TDB, FS), pp. 163–172.
REFSQREFSQ-2014-AbeleinP #communication #developer
State of Practice of User-Developer Communication in Large-Scale IT Projects — Results of an Expert Interview Series (UA, BP), pp. 95–111.
SACSAC-PL-J-2013-MaierST14 #design #reliability #symbolic computation
Reliable scalable symbolic computation: The design of SymGridPar2 (PM, RJS, PWT), pp. 19–35.
ASEASE-2014-GuoZORCAA #combinator #optimisation #parallel
Scaling exact multi-objective combinatorial optimization by parallelization (JG, EZ, RO, DR, KC, SA, JMA), pp. 409–420.
ASEASE-2014-MatinnejadNBB #configuration management #modelling #testing #using
MiL testing of highly configurable continuous controllers: scalable search using surrogate models (RM, SN, LCB, TB), pp. 163–174.
FSEFSE-2014-EslamimehrP #concurrent #detection #named #source code
Sherlock: scalable deadlock detection for concurrent programs (ME, JP), pp. 353–365.
FSEFSE-2014-LerchHBM #analysis #named #performance
FlowTwist: efficient context-sensitive inside-out taint analysis for large codebases (JL, BH, EB, MM), pp. 98–108.
FSEFSE-2014-MileaJK #abstraction #detection #refactoring
Vector abstraction and concretization for scalable detection of refactorings (NAM, LJ, SCK), pp. 86–97.
FSEFSE-2014-Nguyen0NR #api #corpus #mining
Mining preconditions of APIs in large-scale code corpus (HAN, RD, TNN, HR), pp. 166–177.
FSEFSE-2014-RayPFD #case study #git #programming language #quality
A large scale study of programming languages and code quality in github (BR, DP, VF, PTD), pp. 155–165.
FSEFSE-2014-SchultisEL #architecture #case study #challenge #ecosystem #industrial
Architecture challenges for internal software ecosystems: a large-scale industry case study (KBS, CE, DL), pp. 542–552.
ICSEICSE-2014-ChenLZ #android #detection
Achieving accuracy and scalability simultaneously in detecting application clones on Android markets (KC, PL, YZ), pp. 175–186.
ICSEICSE-2014-WagstromD #development
Does latitude hurt while longitude kills? geographical and temporal separation in a large scale software development project (PW, SD), pp. 199–210.
SACSAC-2014-ChenCWD #recommendation
Instant expert hunting: building an answerer recommender system for a large scale Q&A website (TC, JC, HW, YD), pp. 260–265.
SACSAC-2014-FanC #approximate #framework #network #social
An approximate framework for scaling social influence computation in large networks (YCF, HC), pp. 610–615.
SACSAC-2014-HamerW #platform
Large scale processing of landsat data on various software platforms (GH, JW), pp. 1547–1549.
SACSAC-2014-HusemannR #multi #predict #video
Introduction of a multi-layer predictive search strategy for scalable video coding (RH, VR), pp. 985–986.
SACSAC-2014-KarumanchiS #case study #web #web service
In the wild: a large scale study of web services vulnerabilities (SK, ACS), pp. 1239–1246.
SACSAC-2014-KleffmannBHG #automation #interactive #navigation #sketching #version control
Automated versioning and temporal navigation for model sketches on large interactive displays (MK, MB, EH, VG), pp. 161–168.
SACSAC-2014-MesmoudiH #declarative #framework #query
A test framework for large scale declarative queries: preliminary results (AM, MSH), pp. 858–859.
SACSAC-2014-MoonKSP #image #novel
A novel double linear-cubic convolution interpolation for digital image scaling (HMM, KRK, JS, SBP), pp. 1733–1734.
SACSAC-2014-ShoshitaishviliIDV #analysis #security #trade-off
Do you feel lucky?: a large-scale analysis of risk-rewards trade-offs in cyber security (YS, LI, AD, GV), pp. 1649–1656.
SACSAC-2014-YangDZYZN #visualisation
Visualizing large hierarchies with drawer trees (YY, ND, SZ, ZY, KZ, QVN), pp. 951–956.
SACSAC-2014-ZeilemakerSP #network
Large-scale message synchronization in challenged networks (NZ, BS, JAP), pp. 481–488.
GPCEGPCE-2014-RuprechtHL #automation #feature model #product line
Automatic feature selection in large-scale system-software product lines (AR, BH, DL), pp. 39–48.
ASPLOSASPLOS-2014-Gehlhaar #architecture #future of
Neuromorphic processing: a new frontier in scaling computer architecture (JG), pp. 317–318.
ASPLOSASPLOS-2014-WaterlandAAAS #automation #named
ASC: automatically scalable computation (AW, EA, RPA, JA, MIS), pp. 575–590.
CASECASE-2014-MurookaNNKOI #learning #physics
Manipulation strategy learning for carrying large objects based on mapping from object physical property to object manipulation action in virtual environment (MM, SN, SN, YK, KO, MI), pp. 263–270.
CASECASE-2014-XuJGX #energy
A new method to solve large-scale building energy management for energy saving (ZX, QSJ, XG, XX), pp. 940–945.
CGOCGO-2014-HongSWO #domain-specific language #graph
Simplifying Scalable Graph Processing with a Domain-Specific Language (SH, SS, JW, KO), p. 208.
CGOCGO-2014-JimboreanKSBK #approach #compilation #hardware
Fix the code. Don’t tweak the hardware: A new compiler approach to Voltage-Frequency scaling (AJ, KK, VS, DBS, SK), p. 262.
CGOCGO-2014-ZengR0AJ0 #encoding #named #precise
DeltaPath: Precise and Scalable Calling Context Encoding (QZ, JR, HZ, NA, GJ, PL), p. 109.
DACDAC-2014-ApostolopoulouDES #matrix #simulation
Selective Inversion of Inductance Matrix for Large-Scale Sparse RLC Simulation (IA, KD, NEE, GIS), p. 6.
DACDAC-2014-ChakrabortyMV #generative #satisfiability
Balancing Scalability and Uniformity in SAT Witness Generator (SC, KSM, MYV), p. 6.
DACDAC-2014-ChenWLWSC #design #monitoring
Critical Path Monitor Enabled Dynamic Voltage Scaling for Graceful Degradation in Sub-Threshold Designs (YGC, TW, KYL, WYW, YS, SCC), p. 6.
DACDAC-2014-GottschoBDNG #capacity #energy #fault tolerance
Power / Capacity Scaling: Energy Savings With Simple Fault-Tolerant Caches (MG, AB, ND, AN, PG), p. 6.
DACDAC-2014-LiangC #analysis #clustering #named #network #probability #reduction #smarttech
ClusRed: Clustering and Network Reduction Based Probabilistic Optimal Power Flow Analysis for Large-Scale Smart Grids (YL, DC), p. 6.
DACDAC-2014-MunawarS #functional #modelling
Scalable Co-Simulation of Functional Models With Accurate Event Exchange (AM, SS), p. 6.
DACDAC-2014-NaeemiCKPIR #generative
BEOL Scaling Limits and Next Generation Technology Prospects (AN, AC, VK, CP, RMI, SR), p. 6.
DACDAC-2014-PrussKE #abstraction #equivalence #using #verification
Equivalence Verification of Large Galois Field Arithmetic Circuits using Word-Level Abstraction via Gröbner Bases (TP, PK, FE), p. 6.
DACDAC-2014-XueQBYT #analysis #framework #manycore #platform
Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis (YX, ZQ, PB, FY, CYT), p. 6.
DACDAC-2014-YangHCLRX #behaviour #certification #framework #synthesis
Scalable Certification Framework for Behavioral Synthesis Front-End (ZY, KH, KC, LL, SR, FX), p. 6.
DATEDATE-2014-BortolottiBWRB #architecture #hybrid #manycore #memory management #power management
Hybrid memory architecture for voltage scaling in ultra-low power multi-core biomedical processors (DB, AB, CW, DR, LB), pp. 1–6.
DATEDATE-2014-Braak #adaptation #embedded #using
Using guided local search for adaptive resource reservation in large-scale embedded systems (TDtB), pp. 1–4.
DATEDATE-2014-BurgioDMCB #clustering #hardware #programmable
A tightly-coupled hardware controller to improve scalability and programmability of shared-memory heterogeneous clusters (PB, RD, AM, PC, LB), pp. 1–4.
DATEDATE-2014-DoanJP #flexibility #implementation #multi #using
Flexible and scalable implementation of H.264/AVC encoder for multiple resolutions using ASIPs (HCD, HJ, SP), pp. 1–6.
DATEDATE-2014-GholipourCSC #modelling
Highly accurate SPICE-compatible modeling for single- and double-gate GNRFETs with studies on technology scaling (MG, YYC, AS, DC), pp. 1–6.
DATEDATE-2014-IannopolloNTS #contract #design #refinement
Library-based scalable refinement checking for contract-based design (AI, PN, ST, ALSV), pp. 1–6.
DATEDATE-2014-JoostenS #communication #liveness #verification
Scalable liveness verification for communication fabrics (SJCJ, JS), pp. 1–6.
DATEDATE-2014-LagraaTP #data mining #mining #simulation #using
Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces (SL, AT, FP), pp. 1–6.
DATEDATE-2014-PuEMG #logic #power management #synthesis
Logic synthesis of low-power ICs with ultra-wide voltage and frequency scaling (YP, JDE, MM, JPdG), pp. 1–2.
DATEDATE-2014-RanaC #analysis #named #reduction #simulation
SSFB: A highly-efficient and scalable simulation reduction technique for SRAM yield analysis (MR, RC), pp. 1–6.
DATEDATE-2014-ShenQ #quality
Contention aware frequency scaling on CMPs with guaranteed quality of service (HS, QQ), pp. 1–6.
DATEDATE-2014-YuSH #adaptation
Thermal-aware frequency scaling for adaptive workloads on heterogeneous MPSoCs (HY, RS, YH), pp. 1–6.
HPCAHPCA-2014-DemetriadesC #manycore
Stash directory: A scalable directory for many-core coherence (SD, SC), pp. 177–188.
HPCAHPCA-2014-ElTantawyMOA #architecture #control flow #gpu #multi #performance
A scalable multi-path microarchitecture for efficient GPU control flow (AE, JWM, MO, TMA), pp. 248–259.
HPCAHPCA-2014-ZhangBES #design #named #protocol #verification
PVCoherence: Designing flat coherence protocols for scalable verification (MZ, JDB, JE, DJS), pp. 392–403.
HPDCHPDC-2014-AlamKW #distributed #query
A scalable distributed skip list for range queries (SA, HK, AW), pp. 315–318.
HPDCHPDC-2014-TangMEL0G #manycore
Data filtering for scalable high-dimensional k-NN search on multicore systems (XT, SM, DME, KCL, ZH, MG), pp. 305–310.
HPDCHPDC-2014-XiangMA #matrix #pipes and filters #using
Scalable matrix inversion using MapReduce (JX, HM, AA), pp. 177–190.
HPDCHPDC-2014-YinWFZZ #analysis #middleware #named #visualisation
SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization (JY, JW, WcF, XZ, JZ), pp. 257–260.
ISMMISMM-2014-Joisha #performance
Sticky tries: fast insertions, fast lookups, no deletions for large key universes (PGJ), pp. 35–46.
OSDIOSDI-2014-BoutinELSZQWZ #coordination #named #scheduling
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (EB, JE, WL, BS, JZ, ZQ, MW, LZ), pp. 285–300.
OSDIOSDI-2014-ChilimbiSAK #learning #performance
Project Adam: Building an Efficient and Scalable Deep Learning Training System (TMC, YS, JA, KK), pp. 571–582.
OSDIOSDI-2014-ChowMFPW #analysis #internet #performance
The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services (MC, DM, JF, DP, TFW), pp. 217–231.
OSDIOSDI-2014-LiAPSAJLSS #distributed #machine learning #parametricity
Scaling Distributed Machine Learning with the Parameter Server (ML, DGA, JWP, AJS, AA, VJ, JL, EJS, BYS), pp. 583–598.
PDPPDP-2014-BuiFVHHLPH #parallel #using
Scalable Parallel I/O on a Blue Gene/Q Supercomputer Using Compression, Topology-Aware Data Aggregation, and Subfiling (HB, HF, VV, SH, KH, JL, MEP, KH), pp. 107–111.
PDPPDP-2014-DalKT #graph #performance #using
Fast Diameter Computation of Large Sparse Graphs Using GPUs (GHD, WAK, FWT), pp. 632–639.
PDPPDP-2014-MillsZMFG #energy
Energy Consumption of Resilience Mechanisms in Large Scale Systems (BNM, TZ, RGM, KBF, REG), pp. 528–535.
PDPPDP-2014-PalazzoSG #case study #monitoring #video
Large Scale Data Processing in Ecology: A Case Study on Long-Term Underwater Video Monitoring (SP, CS, DG), pp. 312–316.
TACASTACAS-2014-MalerM #learning #regular expression
Learning Regular Languages over Large Alphabets (OM, IEM), pp. 485–499.
CAVCAV-2014-LeeS #abstraction #approximate #bound #reachability #verification
Unbounded Scalable Verification Based on Approximate Property-Directed Reachability and Datapath Abstraction (SL, KAS), pp. 849–865.
CAVCAV-2014-SinnZV #bound #complexity #static analysis
A Simple and Scalable Static Analysis for Bound Analysis and Amortized Complexity Analysis (MS, FZ, HV), pp. 745–761.
IJCARIJCAR-2014-PeaseS #information management #ontology
Knowledge Engineering for Large Ontologies with Sigma KEE 3.0 (AP, SS), pp. 519–525.
ISSTAISSTA-2014-Chen #constraints #program analysis #proving #reuse
Reusing constraint proofs for scalable program analysis (MC), pp. 449–452.
ISSTAISSTA-2014-Just #analysis #framework #java #mutation testing #performance
The major mutation framework: efficient and scalable mutation analysis for Java (RJ), pp. 433–436.
ISSTAISSTA-2014-MileaJK #detection #refactoring
Scalable detection of missed cross-function refactorings (NAM, LJ, SCK), pp. 138–148.
VMCAIVMCAI-2014-Fu #abstract domain #analysis #java #points-to
Modularly Combining Numeric Abstract Domains with Points-to Analysis, and a Scalable Static Numeric Analyzer for Java (ZF), pp. 282–301.
ICDARICDAR-2013-DuAD #multi #using
Large-Scale Signature Matching Using Multi-stage Hashing (XD, WAA, DSD), pp. 976–980.
ICDARICDAR-2013-GotoIFU #graph #set #using
Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph (MG, RI, YF, SU), pp. 3–7.
JCDLJCDL-2013-LinWGXM #recognition
LSH-based large scale chinese calligraphic character recognition (YL, JW, PG, YX, TM), pp. 323–330.
JCDLJCDL-2013-RahnemoonfarP #automation #documentation #evaluation #performance
Automatic performance evaluation of dewarping methods in large scale digitization of historical documents (MR, BP), pp. 331–334.
JCDLJCDL-2013-SchonebergSH #distributed #process #workflow
A scalable, distributed and dynamic workflow system for digitization processes (HS, HGS, WH), pp. 359–362.
SIGMODSIGMOD-2013-AkibaIY #distance #network #performance #query
Fast exact shortest-path distance queries on large networks by pruned landmark labeling (TA, YI, YY), pp. 349–360.
SIGMODSIGMOD-2013-AnanthanarayananBDGJQRRSV #data type #fault tolerance #named
Photon: fault-tolerant and scalable joining of continuous data streams (RA, VB, SD, AG, HJ, TQ, AR, DR, MS, SV), pp. 577–588.
SIGMODSIGMOD-2013-ChengHWF #graph #named #query #reachability
TF-Label: a topological-folding labeling scheme for reachability querying in a large graph (JC, SH, HW, AWCF), pp. 193–204.
SIGMODSIGMOD-2013-HanLL #database #graph #morphism #named #robust #towards
Turboiso: towards ultrafast and robust subgraph isomorphism search in large graph databases (WSH, JL, JHL), pp. 337–348.
SIGMODSIGMOD-2013-HungBTCZ #named #network #query #visual notation
QUBLE: blending visual subgraph query formulation with query processing on large networks (HHH, SSB, BQT, BC, SZ), pp. 1097–1100.
SIGMODSIGMOD-2013-JungHFHY #multi
A scalable lock manager for multicores (HJ, HH, ADF, GH, HYY), pp. 73–84.
SIGMODSIGMOD-2013-KhuranaD #named #network
HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.
SIGMODSIGMOD-2013-MiliarakiBGZ #mining #sequence
Mind the gap: large-scale frequent sequence mining (IM, KB, RG, SZ), pp. 797–808.
SIGMODSIGMOD-2013-SongYYHS #data flow #retrieval #semistructured data
Inter-media hashing for large-scale retrieval from heterogeneous data sources (JS, YY, YY, ZH, HTS), pp. 785–796.
SIGMODSIGMOD-2013-TsytsarauAP #correlation #performance #sentiment
Efficient sentiment correlation for large-scale demographics (MT, SAY, TP), pp. 253–264.
SIGMODSIGMOD-2013-XinRZFSS #named #sql
Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.
SIGMODSIGMOD-2013-YakoutBE #automation #bound
Don’t be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes (MY, LBE, AKE), pp. 553–564.
SIGMODSIGMOD-2013-ZhangR #case study #towards
Towards high-throughput gibbs sampling at scale: a study across storage managers (CZ, CR), pp. 397–408.
SIGMODSIGMOD-2013-ZhengJPL #kernel #performance #quality
Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.
TPDLTPDL-2013-FedoryszakTB #using
Large Scale Citation Matching Using Apache Hadoop (MF, DT, LB), pp. 362–365.
TPDLTPDL-2013-HallC #library #using #visualisation
Exploring Large Digital Library Collections Using a Map-Based Visualisation (MMH, PDC), pp. 216–227.
TPDLTPDL-2013-RuedaDHCMW #case study #library
Providing Meaningful Information in a Large Scale Digital Library — A Case Study (LR, SDT, PH, SC, SM, SW), pp. 279–284.
TPDLTPDL-2013-WangICKAW
Hierarchical Structuring of Cultural Heritage Objects within Large Aggregations (SW, AI, VC, RK, AA, TvdW), pp. 247–259.
VLDBVLDB-2013-AilamakiJPT #towards #transaction
Toward Scalable Transaction Processing (AA, RJ, IP, PT), pp. 1192–1193.
VLDBVLDB-2013-BediniEV #big data #case study #framework #platform
The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities (IB, BE, YV), pp. 1166–1167.
VLDBVLDB-2013-BellareCMMRS #framework #knowledge base #multitenancy #named #platform #synthesis
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis (KB, CC, AM, PM, MR, AS), pp. 1114–1125.
VLDBVLDB-2013-ChandramouliGQ #big data #in the cloud
Scalable Progressive Analytics on Big Data in the Cloud (BC, JG, AQ), pp. 1726–1737.
VLDBVLDB-2013-DengJLLY #concept #knowledge base #using #web
Scalable Column Concept Determination for Web Tables Using Large Knowledge Bases (DD, YJ, GL, JL, CY), pp. 1606–1617.
VLDBVLDB-2013-Dey #transaction
Scalable Transactions across Heterogeneous NoSQL Key-Value Data Stores (AD), pp. 1434–1439.
VLDBVLDB-2013-FuKR #on the
On Scaling Up Sensitive Data Auditing (YF, RK, RR), pp. 313–324.
VLDBVLDB-2013-HendawiBM #framework #named #network #predict #query
iRoad: A Framework For Scalable Predictive Query Processing On Road Networks (AMH, JB, MFM), pp. 1262–1265.
VLDBVLDB-2013-HuangCLQY #network
Top-K Structural Diversity Search in Large Networks (XH, HC, RHL, LQ, JXY), pp. 1618–1629.
VLDBVLDB-2013-JinW #performance #reachability
Simple, Fast, and Scalable Reachability Oracle (RJ, GW), pp. 1978–1989.
VLDBVLDB-2013-KumarGDL #named
Hone: “Scaling Down” Hadoop on Shared-Memory Systems (KAK, JG, AD, JL), pp. 1354–1357.
VLDBVLDB-2013-LeeL #clustering #graph #query #rdf #semantics
Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning (KL, LL), pp. 1894–1905.
VLDBVLDB-2013-ManshadiAGKMS #algorithm #distributed
A Distributed Algorithm for Large-Scale Generalized Matching (FMM, BA, RG, RK, JM, MS), pp. 613–624.
VLDBVLDB-2013-MansourEKAA #named #parallel #sequence
RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences (EM, AER, PK, AA, AA), pp. 865–876.
VLDBVLDB-2013-OgdenTP #automaton #parallel #query #transducer #using #xml
Scalable XML Query Processing using Parallel Pushdown Transducers (PO, DBT, PP), pp. 1738–1749.
VLDBVLDB-2013-PopescuBEA #named #predict #runtime #towards
PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics (ADP, AB, VE, AA), pp. 1678–1689.
VLDBVLDB-2013-QiaoQCYT #graph #keyword
Top-K Nearest Keyword Search on Large Graphs (MQ, LQ, HC, JXY, WT), pp. 901–912.
VLDBVLDB-2013-Rendle #relational
Scaling Factorization Machines to Relational Data (SR), pp. 337–348.
VLDBVLDB-2013-SeoPSL #analysis #distributed #graph
Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis (JS, JP, JS, MSL), pp. 1906–1917.
VLDBVLDB-2013-ShuteVSHWROLMECRSA #database #distributed #named #sql
F1: A Distributed SQL Database That Scales (JS, RV, BS, BH, CW, ER, MO, KL, DM, SE, JC, IR, TS, HA), pp. 1068–1079.
VLDBVLDB-2013-WandeltSBL #named #similarity
RCSI: Scalable similarity search in thousand(s) of genomes (SW, JS, MB, UL), pp. 1534–1545.
VLDBVLDB-2013-YuanLWJZL #named #performance #rdf
TripleBit: a Fast and Compact System for Large Scale RDF Data (PY, PL, BW, HJ, WZ, LL), pp. 517–528.
VLDBVLDB-2013-ZhengZF0Z #graph #performance #similarity
Efficient SimRank-based Similarity Join Over Large Graphs (WZ, LZ, YF, LC, DZ), pp. 493–504.
VLDBVLDB-2014-HeiseQAJN13
Scalable Discovery of Unique Column Combinations (AH, JAQR, ZA, AJ, FN), pp. 301–312.
VLDBVLDB-2014-KaranasosKM13 #capacity #constraints #named
Delta: Scalable Data Dissemination under Capacity Constraints (KK, AK, IM), pp. 217–228.
VLDBVLDB-2014-TangUCMC13 #distance #similarity
Earth Mover’s Distance based Similarity Search at Scale (YT, LHU, YC, NM, RC), pp. 313–324.
ITiCSEITiCSE-2013-GorlatovaSKKZ #learning #research
Project-based learning within a large-scale interdisciplinary research effort (MG, JS, PRK, IK, GZ), pp. 207–212.
ICPCICPC-2013-UddinRS #clone detection #detection #named #performance
SimCad: An extensible and faster clone detection tool for large scale software systems (MSU, CKR, KAS), pp. 236–238.
ICSMEICSM-2013-MeqdadiACM #adaptation #comprehension #towards #version control
Towards Understanding Large-Scale Adaptive Changes from Version Histories (OM, NA, MLC, JIM), pp. 416–419.
ICSMEICSM-2013-MillerCW #developer #embedded #legacy #maintenance
Assuming Software Maintenance of a Large, Embedded Legacy System from the Original Developer (WLM, LBC, BLW), pp. 552–555.
ICSMEICSM-2013-RosePFP #framework #platform #probability #search-based #testing #towards
Towards a Scalable Cloud Platform for Search-Based Probabilistic Testing (LMR, SMP, RF, RFP), pp. 480–483.
ICSMEICSM-2013-VenkataramaniABM #analysis #repository #semantics
Latent Co-development Analysis Based Semantic Search for Large Code Repositories (RV, AMA, VDB, BM), pp. 372–375.
ICSMEICSM-2013-WrightJKCW #automation #refactoring #using
Large-Scale Automated Refactoring Using ClangMR (HKW, DJ, MK, CC, ZW), pp. 548–551.
SCAMSCAM-2013-MendezBM #api #empirical #object-oriented
Empirical evidence of large-scale diversity in API usage of object-oriented software (DM, BB, MM), pp. 43–52.
WCREWCRE-2013-KhadkaSJHH #challenge #legacy #lessons learnt #migration
Migrating a large scale legacy application to SOA: Challenges and lessons learned (RK, AS, SJ, JH, GPH), pp. 425–432.
ICALPICALP-v1-2013-SviridenkoW #problem #set
Large Neighborhood Local Search for the Maximum Set Packing Problem (MS, JW), pp. 792–803.
CoGCIG-2013-ChurchillB #simulation
Portfolio greedy search and simulation for large-scale combat in starcraft (DC, MB), pp. 1–8.
CoGCIG-2013-WiensDP #behaviour #game studies #learning
Creating large numbers of game AIs by learning behavior for cooperating units (SW, JD, SP), pp. 1–8.
FDGFDG-2013-KoutnikCSG #evolution #network
Evolving large-scale neural networks for vision-based TORCS (JK, GC, JS, FJG), pp. 206–212.
CHICHI-2013-BowserHRRGHRP #approach #game studies #prototype
Prototyping in PLACE: a scalable approach to developing location-based apps and games (AB, DLH, JR, MR, RJG, YH, DR, JP), pp. 1519–1528.
CHICHI-2013-DalsgardE #approach #case study #library
Large-scale participation: a case study of a participatory approach to developing a new public library (PD, EE), pp. 399–408.
CHICHI-2013-IonCHHS #multi #named
Canyon: providing location awareness of multiple moving objects in a detail view on large displays (AI, YLBC, MH, MSH, SDS), pp. 3149–3158.
CHICHI-2013-KharrufaBHLDO #deployment #lessons learnt #multi
Tables in the wild: lessons learned from a large-scale multi-tabletop deployment (AK, MB, PH, DL, PD, PO), pp. 1021–1030.
CHICHI-2013-LeitnerPLRH #gesture #named #performance
Kolibri: tiny and fast gestures for large pen-based surfaces (JL, FP, CL, CR, MH), pp. 1789–1798.
CHICHI-2013-LomasPFK #challenge #design #education #game studies #optimisation #using
Optimizing challenge in an educational game using large-scale design experiments (DL, KP, JF, KRK), pp. 89–98.
CHICHI-2013-McMillanMC #guidelines #human-computer #mobile
Categorised ethical guidelines for large scale mobile HCI (DM, AM, MC), pp. 1853–1862.
CHICHI-2013-MollersDLB #using
Improving touch accuracy on large tabletops using predecessor and successor (MM, ND, SL, JOB), pp. 755–758.
CHICHI-2013-NancelCPYIB #using
High-precision pointing on large wall displays using small handheld devices (MN, OC, EP, XDY, PPI, MBL), pp. 831–840.
CHICHI-2013-SchmidtMB #named
Screenfinity: extending the perception area of content on very large public displays (CS, JM, GB), pp. 1719–1728.
CHICHI-2013-VatavuCG #gesture
Small, medium, or large?: estimating the user-perceived scale of stroke gestures (RDV, GC, LG), pp. 277–280.
CSCWCSCW-2013-AlmuhimediWLSA #analysis #twitter
Tweets are forever: a large-scale quantitative analysis of deleted tweets (HA, SW, BL, NMS, AA), pp. 897–908.
CSCWCSCW-2013-ParkSLB #contest #design
Crowd vs. crowd: large-scale cooperative design through open team competition (CHP, KS, JHL, SHB), pp. 1275–1284.
CSCWCSCW-2013-RostBCB #challenge #communication #dataset #representation #social #social media
Representation and communication: challenges in interpreting large social media datasets (MR, LB, HC, BB), pp. 357–362.
HCIDUXU-WM-2013-BaldassariDPEG #case study #interactive #online
Behind Livia’s Villa: A Case Study for the Devolution of Large Scale Interactive “in-site” to “on-line” Application (GLB, ED, SP, JE, HG), pp. 238–247.
HCIDUXU-WM-2013-SoaresCCNCM #interactive
An Applied Ergonomics Study on IT User Interaction in a Large Hydroelectric Company in the Northeast of Brazil (MMS, FC, WC, AN, JC, SM), pp. 113–120.
HCIHCI-IMT-2013-PelaezSC #collaboration #research
Research on a Large Digital Desktop Integrated in a Traditional Environment for Informal Collaboration (MPP, RS, IC), pp. 348–357.
HCIHCI-IMT-2013-SakataKN #analysis #collaboration #communication
Communication Analysis of Remote Collaboration System with Arm Scaling Function (NS, TK, SN), pp. 378–387.
HCIHIMI-D-2013-IizukaNG #case study #interactive #using
A Study for Personal Use of the Interactive Large Public Display (SI, WN, KG), pp. 55–61.
VISSOFTVISSOFT-2013-FittkauWWH #approach #visualisation
Live trace visualization for comprehending large software landscapes: The ExplorViz approach (FF, JW, CW, WH), pp. 1–4.
CAiSECAiSE-2013-AgtK #automation #modelling #network #semantics
Automated Construction of a Large Semantic Network of Related Terms for Domain-Specific Modeling (HA, RDK), pp. 610–625.
CAiSECAiSE-2013-KapurugeHCK #as a service #named
ROAD4SaaS: Scalable Business Service-Based SaaS Applications (MK, JH, AWC, IK), pp. 338–352.
CAiSECAiSE-2013-LiverK #information management
Integrity in Very Large Information Systems — Dealing with Information Risk Black Swans (BL, HK), pp. 641–656.
CAiSECAiSE-2013-SuriadiWOHD #behaviour #case study #comprehension #process
Understanding Process Behaviours in a Large Insurance Company in Australia: A Case Study (SS, MTW, CO, AHMtH, NJvD), pp. 449–464.
ICEISICEIS-v3-2013-LambeckG #complexity #concept #enterprise #user interface
Mastering ERP Interface Complexity — A Scalable User Interface Concept for ERP Systems (CL, RG), pp. 170–178.
CIKMCIKM-2013-AkibaIY #linear #network #random
Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction (TA, YI, YY), pp. 909–918.
CIKMCIKM-2013-BogdanovS #effectiveness #nearest neighbour #network
Accurate and scalable nearest neighbors in large networks based on effective importance (PB, AKS), pp. 1009–1018.
CIKMCIKM-2013-ChenW #classification #learning
Cost-sensitive learning for large-scale hierarchical classification (JC, DW), pp. 1351–1360.
CIKMCIKM-2013-FangYZ #graph
Active exploration: simultaneous sampling and labeling for large graphs (MF, JY, XZ), pp. 829–834.
CIKMCIKM-2013-GilpinQD #clustering #dataset #performance
Efficient hierarchical clustering of large high dimensional datasets (SG, BQ, ID), pp. 1371–1380.
CIKMCIKM-2013-Guestrin #machine learning #usability
Usability in machine learning at scale with graphlab (CG), pp. 5–6.
CIKMCIKM-2013-HachenbergG #classification #clustering #documentation #locality #web
Locality sensitive hashing for scalable structural classification and clustering of web documents (CH, TG), pp. 359–368.
CIKMCIKM-2013-HanW #graph #mining
Mining frequent neighborhood patterns in a large labeled graph (JH, JRW), pp. 259–268.
CIKMCIKM-2013-KhanDS #multi
Scalable diversification of multiple search results (HAK, MD, MAS), pp. 775–780.
CIKMCIKM-2013-LiWZWW #probability #similarity
Computing term similarity by large probabilistic isA knowledge (PPL, HW, KQZ, ZW, XW), pp. 1401–1410.
CIKMCIKM-2013-McMinnMJ #corpus #detection #twitter
Building a large-scale corpus for evaluating event detection on twitter (AJM, YM, JMJ), pp. 409–418.
CIKMCIKM-2013-MullangiR #named #performance #query #reachability
SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies (PRM, LR), pp. 799–804.
CIKMCIKM-2013-ParkC #algorithm #graph #performance #pipes and filters
An efficient MapReduce algorithm for counting triangles in a very large graph (HMP, CWC), pp. 539–548.
CIKMCIKM-2013-WangZS #performance #similarity
Weighted hashing for fast large scale similarity search (QW, DZ, LS), pp. 1185–1188.
ICMLICML-c1-2013-AbernethyAKD #learning #problem
Large-Scale Bandit Problems and KWIK Learning (JA, KA, MK, MD), pp. 588–596.
ICMLICML-c1-2013-AfkanpourGSB #algorithm #kernel #learning #multi #random
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning (AA, AG, CS, MB), pp. 374–382.
ICMLICML-c1-2013-GilboaSCG #approximate #multi #process #using
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations (EG, YS, JPC, EG), pp. 454–461.
ICMLICML-c2-2013-GolovinSMY #learning #ram
Large-Scale Learning with Less RAM via Randomization (DG, DS, HBM, MY), pp. 325–333.
ICMLICML-c2-2013-GopalY #distributed #modelling
Distributed training of Large-scale Logistic models (SG, YY), pp. 289–297.
ICMLICML-c2-2013-YangPK #optimisation #visualisation
Scalable Optimization of Neighbor Embedding for Visualization (ZY, JP, SK), pp. 127–135.
ICMLICML-c3-2013-GittensM #machine learning
Revisiting the Nystrom method for improved large-scale machine learning (AG, MWM), pp. 567–575.
ICMLICML-c3-2013-Meng #random
Scalable Simple Random Sampling and Stratified Sampling (XM), pp. 531–539.
ICMLICML-c3-2013-ReedG #process
Scaling the Indian Buffet Process via Submodular Maximization (CR, ZG), pp. 1013–1021.
ICMLICML-c3-2013-YangMM
Quantile Regression for Large-scale Applications (JY, XM, MWM), pp. 881–887.
KDDKDD-2013-AhmedS #modelling #parametricity
The dataminer’s guide to scalable mixed-membership and nonparametric bayesian models (AA, AJS), p. 1529.
KDDKDD-2013-ChakrabartiH #learning #social
Speeding up large-scale learning with a social prior (DC, RH), pp. 650–658.
KDDKDD-2013-FriezeGT #algorithm #graph #mining #modelling
Algorithmic techniques for modeling and mining large graphs (AMAzING) (AMF, AG, CET), p. 1523.
KDDKDD-2013-Ghani #social
Targeting and influencing at scale: from presidential elections to social good (RG), p. 1137.
KDDKDD-2013-GopalY #classification #dependence #recursion #visual notation
Recursive regularization for large-scale classification with hierarchical and graphical dependencies (SG, YY), pp. 257–265.
KDDKDD-2013-KengneFTIRWS #execution #multi #sequence
Efficiently rewriting large multimedia application execution traces with few event sequences (CKK, LCF, AT, NI, MCR, TW, MS), pp. 1348–1356.
KDDKDD-2013-KohaviDFWXP #online
Online controlled experiments at large scale (RK, AD, BF, TW, YX, NP), pp. 1168–1176.
KDDKDD-2013-Lacoste-JulienPDKGG #knowledge base #named
SIGMa: simple greedy matching for aligning large knowledge bases (SLJ, KP, AD, GK, TG, ZG), pp. 572–580.
KDDKDD-2013-Mu0ZT #probability #problem
Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.
KDDKDD-2013-OuCWWZY
Comparing apples to oranges: a scalable solution with heterogeneous hashing (MO, PC, FW, JW, WZ, SY), pp. 230–238.
KDDKDD-2013-PhamP #kernel #performance #polynomial
Fast and scalable polynomial kernels via explicit feature maps (NP, RP), pp. 239–247.
KDDKDD-2013-RaederPDSP #clustering #reduction #using
Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDDKDD-2013-ShahafYSJWL
Information cartography: creating zoomable, large-scale maps of information (DS, JY, CS, JJ, HW, JL), pp. 1097–1105.
KDDKDD-2013-SongZSHUS #modelling #probability #reasoning
Modeling and probabilistic reasoning of population evacuation during large-scale disaster (XS, QZ, YS, TH, SU, RS), pp. 1231–1239.
KDDKDD-2013-StitelmanPDHRP #detection #network #online #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDDKDD-2013-TabeiKKY #constraints #similarity
Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints (YT, AK, MK, YY), pp. 176–184.
KDDKDD-2013-TangLSPG #automation #framework #monitoring #optimisation
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures (LT, TL, LS, FP, GG), pp. 1249–1257.
KDDKDD-2013-TangWS #confluence #named #network #social
Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
KDDKDD-2013-WangMP #metric #similarity
Scalable all-pairs similarity search in metric spaces (YW, AM, SP), pp. 829–837.
KDDKDD-2013-YangWZCZZYMFWLLT #named #network #social
SAE: social analytic engine for large networks (YY, JW, YZ, WC, JZ, HZ, ZY, BM, ZF, SW, XL, DL, JT), pp. 1502–1505.
KDDKDD-2013-YenCLLL #classification #coordination #linear #memory management
Indexed block coordinate descent for large-scale linear classification with limited memory (IEHY, CFC, TWL, SWL, SDL), pp. 248–256.
KDDKDD-2013-ZhuXWL #distance #graph #performance #query
Efficient single-source shortest path and distance queries on large graphs (ADZ, XX, SW, WL), pp. 998–1006.
KDDKDD-2013-ZhuYGM #analysis #modelling #topic
Scalable text and link analysis with mixed-topic link models (YZ, XY, LG, CM), pp. 473–481.
KDDKDD-2013-ZhuZZZ #modelling #topic
Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.
KEODKEOD-2013-NadarajanYC #framework #multi #ontology #performance #workflow
Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos (GN, CLY, YHCB), pp. 419–426.
MLDMMLDM-2013-AllahSG #algorithm #array #dataset #mining #performance
An Efficient and Scalable Algorithm for Mining Maximal — High Confidence Rules from Microarray Dataset (WZAA, YKES, FFMG), pp. 352–366.
MLDMMLDM-2013-DoanDP #classification #visual notation
Large Scale Visual Classification with Many Classes (TND, TND, FP), pp. 629–643.
RecSysRecSys-2013-Aiolli #dataset #performance #recommendation
Efficient top-n recommendation for very large scale binary rated datasets (FA), pp. 273–280.
RecSysRecSys-2013-KoenigsteinK #recommendation #towards
Towards scalable and accurate item-oriented recommendations (NK, YK), pp. 419–422.
SEKESEKE-2013-ChaoY #analysis #order #reachability
A Best Method to Synthesize Very Large K-th Order Systems without Reachability Analysis (DYC, THY), pp. 417–420.
SIGIRSIGIR-2013-CambazogluB #challenge #performance #web
Scalability and efficiency challenges in commercial web search engines (BBC, RABY), p. 1124.
SIGIRSIGIR-2013-DemidovaZN #performance #query
Efficient query construction for large scale data (ED, XZ, WN), pp. 573–582.
SIGIRSIGIR-2013-LuWTZHZ #rank #ranking
A low rank structural large margin method for cross-modal ranking (XL, FW, ST, ZZ, XH, YZ), pp. 433–442.
MODELSMoDELS-2013-FariasGWL #case study #design #industrial #modelling
Analyzing the Effort of Composing Design Models of Large-Scale Software in Industrial Case Studies (KF, AG, JW, CJPdL), pp. 639–655.
SPLCSPLC-2013-MartiniPB #agile #communication #development #reuse
Communication factors for speed and reuse in large-scale agile software development (AM, LP, JB), pp. 42–51.
ECOOPECOOP-2013-TrudelFNM #automation #object-oriented #re-engineering
Really Automatic Scalable Object-Oriented Reengineering (MT, CAF, MN, BM), pp. 477–501.
OOPSLAOOPSLA-2013-BoisSEE #concurrent #graph #multi #thread #visualisation
Bottle graphs: visualizing scalability bottlenecks in multi-threaded applications (KDB, JBS, SE, LE), pp. 355–372.
HILTHILT-2013-Whalen #analysis #architecture #development #formal method #modelling #using
Up and out: scaling formal analysis using model-based development and architecture modeling (MWW), pp. 41–42.
PADLPADL-2013-LiangK #automation #logic programming #named #source code
Terminyzer: An Automatic Non-termination Analyzer for Large Logic Programs (SL, MK), pp. 173–189.
PEPMPEPM-2013-SatoUK #higher-order #model checking #source code #towards
Towards a scalable software model checker for higher-order programs (RS, HU, NK), pp. 53–62.
PLDIPLDI-2013-ElwazeerAKSB #data type #detection
Scalable variable and data type detection in a binary rewriter (KE, KA, AK, MS, RB), pp. 51–60.
PLDIPLDI-2013-GreenLRSV #named #programming language #quantum
Quipper: a scalable quantum programming language (ASG, PLL, NJR, PS, BV), pp. 333–342.
RERE-2013-GolnamRWK #case study #integration
The integration of an RE method and AHP: A pilot study in a large Swiss bank (AG, GR, AW, SK), pp. 308–313.
REFSQREFSQ-2013-Ott #automation #categorisation #natural language #overview #specification
Automatic Requirement Categorization of Large Natural Language Specifications at Mercedes-Benz for Review Improvements (DO), pp. 50–64.
REFSQREFSQ-2013-Regnell #modelling #requirements #towards
reqT.org — Towards a Semi-Formal, Open and Scalable Requirements Modeling Tool (BR), pp. 112–118.
SACSAC-PL-J-2011-AcherCLF13 #domain-specific language #feature model #modelling #named
FAMILIAR: A domain-specific language for large scale management of feature models (MA, PC, PL, RBF), pp. 657–681.
ASEASE-2013-ChandramohanTBSP #approach #behaviour #bound #detection #modelling
A scalable approach for malware detection through bounded feature space behavior modeling (MC, HBKT, LCB, LKS, BMP), pp. 312–322.
ASEASE-2013-KimKKLJK #automation #embedded #industrial #testing #using
Automated unit testing of large industrial embedded software using concolic testing (YK, YK, TK, GL, YJ, MK), pp. 519–528.
ASEASE-2013-MoritzVPGMG #api #detection #named #repository #source code #visualisation
ExPort: Detecting and visualizing API usages in large source code repositories (EM, MLV, DP, MG, CM, MG), pp. 646–651.
ASEASE-2013-SayyadIMA #product line
Scalable product line configuration: A straw to break the camel’s back (ASS, JI, TM, HA), pp. 465–474.
ESEC-FSEESEC-FSE-2013-DavrilDHACH #feature model
Feature model extraction from large collections of informal product descriptions (JMD, ED, NH, MA, JCH, PH), pp. 290–300.
ESEC-FSEESEC-FSE-2013-KumarCS #analysis #industrial #precise
Precise range analysis on large industry code (SK, BC, US), pp. 675–678.
ESEC-FSEESEC-FSE-2013-LiebigRKADL #analysis
Scalable analysis of variable software (JL, AvR, CK, SA, JD, CL), pp. 81–91.
ESEC-FSEESEC-FSE-2013-McPeakGR #debugging #detection #incremental
Scalable and incremental software bug detection (SM, CHG, MKR), pp. 554–564.
ICSEICSE-2013-BrownAR #delivery
Agility at scale: economic governance, measured improvement, and disciplined delivery (AWB, SA, WR), pp. 873–881.
ICSEICSE-2013-DyerNRN #framework #named #repository
Boa: a language and infrastructure for analyzing ultra-large-scale software repositories (RD, HAN, HR, TNN), pp. 422–431.
ICSEICSE-2013-FitzgeraldSOO #agile #case study #industrial
Scaling agile methods to regulated environments: an industry case study (BF, KJS, RO, DO), pp. 863–872.
ICSEICSE-2013-Jonsson #machine learning #performance #using
Increasing anomaly handling efficiency in large organizations using applied machine learning (LJ), pp. 1361–1364.
ICSEICSE-2013-MalikHH #automation #detection #performance #testing
Automatic detection of performance deviations in the load testing of large scale systems (HM, HH, AEH), pp. 1012–1021.
ICSEICSE-2013-Northrop #case study #matter #years after
Does scale really matter? ultra-large-scale systems seven years after the study (LMN), p. 857.
ICSEICSE-2013-XingXJ #benchmark #feature model #kernel #metric #research
A large scale Linux-kernel based benchmark for feature location research (ZX, YX, SJ), pp. 1311–1314.
SACSAC-2013-BaltzerRZ
Building a scalable spatial OLAP system (OB, ARC, NZ), pp. 13–15.
SACSAC-2013-BhattacharjeeJ #algorithm #named #repository #similarity
CodeBlast: a two-stage algorithm for improved program similarity matching in large software repositories (AB, HMJ), pp. 846–852.
SACSAC-2013-BrancoLR #bound #protocol
Bounded gossip: a gossip protocol for large-scale datacenters (MB, JL, LR), pp. 591–596.
SACSAC-2013-FanYZ #architecture #framework #modelling
A generic framework for deriving architecture modeling methods for large-scale software-intensive systems (ZF, TY, LZ), pp. 1750–1757.
SACSAC-2013-HuangMGM #multi #realtime
Throughput-constrained voltage and frequency scaling for real-time heterogeneous multiprocessors (PH, OM, KG, AMM), pp. 1517–1524.
SACSAC-2013-KoukiL #named
SCAling: SLA-driven cloud auto-scaling (YK, TL), pp. 411–414.
SACSAC-2013-MaierST #design #reliability #symbolic computation
Reliable scalable symbolic computation: the design of SymGridPar2 (PM, RJS, PWT), pp. 1674–1681.
SACSAC-2013-MeilingSSW #communication #framework #grid #multi #network #smarttech #using
A scalable communication infrastructure for smart grid applications using multicast over public networks (SM, TS, TCS, MW), pp. 690–694.
SACSAC-2013-NikolaevskiyLPPG #multi #named
isBF: scalable in-packet bloom filter based multicast (IN, AL, TP, VP, AG), pp. 646–648.
SACSAC-2013-PayetDKV #analysis #execution
EARs in the wild: large-scale analysis of execution after redirect vulnerabilities (PP, AD, CK, GV), pp. 1792–1799.
GPCEGPCE-2013-BassoPOB #model transformation #reuse
Supporting large scale model transformation reuse (FPB, RMP, TCdO, LBB), pp. 169–178.
ASPLOSASPLOS-2013-Gidra0SS #case study #garbage collection #multi
A study of the scalability of stop-the-world garbage collectors on multicores (LG, GT, JS, MS), pp. 229–240.
ASPLOSASPLOS-2013-QianTSQ #consistency #detection #named #precise
Volition: scalable and precise sequential consistency violation detection (XQ, JT, BS, DQ), pp. 535–548.
CASECASE-2013-HuZL13a #automation #distributed #petri net
Maximally permissive distributed control of large scale automated manufacturing systems modeled with Petri nets (HH, MZ, YL), pp. 1145–1150.
CASECASE-2013-YeWZML #approach #network #optimisation #predict
A signal split optimization approach based on model predictive control for large-scale urban traffic networks (BLY, WW, XZ, WJM, JL), pp. 904–909.
CASECASE-2013-ZhangPJST #energy #interface #monitoring #using
A secure and scalable telemonitoring system using ultra-low-energy wireless sensor interface for long-term monitoring in life science applications (WZ, PP, EJ, RS, KT), pp. 617–622.
CGOCGO-2013-ArthurMRAB #debugging #named #profiling #security
Schnauzer: scalable profiling for likely security bug sites (WA, BM, RR, TMA, VB), p. 11.
CGOCGO-2013-GartleyPSG #case study #design #experience #framework #interpreter #profiling #robust
Experiences in designing a robust and scalable interpreter profiling framework (IG, MP, VS, NG), p. 10.
DACDAC-2013-ChenXKGHKOA #design #manycore
Dynamic voltage and frequency scaling for shared resources in multicore processor designs (XC, ZX, HK, PVG, JH, MK, ÜYO, RZA), p. 7.
DACDAC-2013-Feng #grid #power management #verification
Scalable vectorless power grid current integrity verification (ZF), p. 8.
DACDAC-2013-JungPPC #distributed #embedded #framework #named #platform
netShip: a networked virtual platform for large-scale heterogeneous distributed embedded systems (YJ, JP, MP, LPC), p. 10.
DACDAC-2013-OnizawaG #clustering #network #power management
Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks (NO, WJG), p. 6.
DACDAC-2013-WangZSLG #modelling #performance #reuse
Bayesian model fusion: large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data (FW, WZ, SS, XL, CG), p. 6.
DACDAC-2013-YuanX #fault #logic #low cost #named
InTimeFix: a low-cost and scalable technique for in-situ timing error masking in logic circuits (FY, QX), p. 6.
DACDAC-2013-ZhouLJ #3d #complexity #finite #linear #multi
A direct finite element solver of linear complexity for large-scale 3-D circuit extraction in multiple dielectrics (BZ, HL, DJ), p. 6.
DATEDATE-2013-ChanCK #adaptation
Impact of adaptive voltage scaling on aging-aware signoff (TBC, WTJC, ABK), pp. 1683–1688.
DATEDATE-2013-CilardoGMM #design #performance
Efficient and scalable OpenMP-based system-level design (AC, LG, AM, NM), pp. 988–991.
DATEDATE-2013-El-NacouziAPZJM #detection
A dual grain hit-miss detector for large die-stacked DRAM caches (MEN, IA, MP, JZ, NDEJ, AM), pp. 89–92.
DATEDATE-2013-Feng #geometry #grid #power management #reduction
Large-scale flip-chip power grid reduction with geometric templates (ZF), pp. 1679–1682.
DATEDATE-2013-LeGD #design #fault #locality
Scalable fault localization for SystemC TLM designs (HML, DG, RD), pp. 35–38.
DATEDATE-2013-LyrasRPS #multi #simulation
Hypervised transient SPICE simulations of large netlists & workloads on multi-processor systems (GL, DR, AP, DS), pp. 655–658.
DATEDATE-2013-MockCRB #interactive
Interactions of large scale EV mobility and virtual power plants (RM, TSC, JR, LB), pp. 1725–1729.
DATEDATE-2013-YilmazSWO #analysis #fault #industrial #simulation
Fault analysis and simulation of large scale industrial mixed-signal circuits (EY, GS, LW, SO), pp. 565–570.
HPCAHPCA-2013-AbeyratneDLSGDBM #symmetry #towards
Scaling towards kilo-core processors with asymmetric high-radix topologies (NA, RD, QL, KS, BG, RGD, DB, TNM), pp. 496–507.
HPCAHPCA-2013-ChangRLJ #comparison #energy
Technology comparison for large last-level caches (L3Cs): Low-leakage SRAM, low write-energy STT-RAM, and refresh-optimized eDRAM (MTC, PR, SLL, BJ), pp. 143–154.
HPCAHPCA-2013-MahmoodKH #adaptation #architecture #named
Macho: A failure model-oriented adaptive cache architecture to enable near-threshold voltage scaling (TM, SK, SH), pp. 532–541.
HPDCHPDC-2013-ClaySM #clustering #interactive
Building and scaling virtual clusters with residual resources from interactive clouds (RBC, ZS, XM), pp. 119–120.
HPDCHPDC-2013-GillLHNGL #composition #declarative #framework #manycore #named #platform
Scalanytics: a declarative multi-core platform for scalable composable traffic analytics (HG, DL, XH, CN, TG, BTL), pp. 61–72.
HPDCHPDC-2013-KamalBBCM #simulation
Load balancing in large-scale epidemiological simulations (TK, KRB, ARB, YC, MVM), pp. 123–124.
HPDCHPDC-2013-LakshminarasimhanBPZJVPS #encoding #query
Scalable in situ scientific data encoding for analytical query processing (SL, DABI, SVP, XZ, JJ, VV, MEP, NFS), pp. 1–12.
HPDCHPDC-2013-ZhangKWWF #parallel
MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications (ZZ, DSK, MW, JMW, ITF), pp. 37–48.
HPDCHPDC-2013-ZhouTKB #automation #debugging #detection #named
WuKong: automatically detecting and localizing bugs that manifest at large system scales (BZ, JT, MK, SB), pp. 131–142.
ISMMISMM-2013-LiCK #analysis #graph #pointer #precise
Precise and scalable context-sensitive pointer analysis via value flow graph (LL, CC, NK), pp. 85–96.
PDPPDP-2013-AtaeeGP #algorithm #multi #named #reliability #replication #streaming
ReStream — A Replication Algorithm for Reliable and Scalable Multimedia Streaming (SA, BG, FP), pp. 68–76.
PDPPDP-2013-Aviles-GonzalezPG
Scalable Huge Directories through OSD+ Devices (AAG, JP, PGF), pp. 1–8.
PDPPDP-2013-PetridesDCT #database #manycore #performance #query
Scalability and Efficiency of Database Queries on Future Many-Core Systems (PP, AD, CC, PT), pp. 24–28.
PDPPDP-2013-YoshinagaTHSNI #hybrid #manycore #parallel
A Delegation Mechanism on Many-Core Oriented Hybrid Parallel Computers for Scalability of Communicators and Communications in MPI (KY, YT, AH, MS, MN, YI), pp. 249–253.
PPoPPPPoPP-2013-ChenC #parallel
Scalable deterministic replay in a parallel full-system emulator (YC, HC), pp. 207–218.
PPoPPPPoPP-2013-DiceLM #statistics
Scalable statistics counters (DD, YL, MM), pp. 307–308.
PPoPPPPoPP-2013-ParkSI #concurrent #detection #source code
Scalable data race detection for partitioned global address space programs (CSP, KS, CI), pp. 305–306.
PPoPPPPoPP-2013-WozniakAWKLF #data flow #named #programming
Swift/T: scalable data flow programming for many-task applications (JMW, TGA, MW, DSK, ELL, ITF), pp. 309–310.
PPoPPPPoPP-2013-ZhouKB #debugging #effectiveness #named
WuKong: effective diagnosis of bugs at large system scales (BZ, MK, SB), pp. 317–318.
SOSPSOSP-2013-ClementsKZMK #commutative #design #manycore
The scalable commutativity rule: designing scalable software for multicore processors (ATC, MFK, NZ, RTM, EK), pp. 1–17.
SOSPSOSP-2013-ZahariaDLHSS #fault tolerance #streaming
Discretized streams: fault-tolerant streaming computation at scale (MZ, TD, HL, TH, SS, IS), pp. 423–438.
FASEFASE-2013-TrippPCCG #analysis #named #security #web
Andromeda: Accurate and Scalable Security Analysis of Web Applications (OT, MP, PC, RC, SG), pp. 210–225.
STOCSTOC-2013-Miller #graph #optimisation #problem #using
Solving large optimization problems using spectral graph theory (GLM), p. 981.
STOCSTOC-2013-Wootters #fault #linear #on the #random
On the list decodability of random linear codes with large error rates (MW), pp. 853–860.
CAVCAV-2013-ChakrabortyMV #generative #satisfiability
A Scalable and Nearly Uniform Generator of SAT Witnesses (SC, KSM, MYV), pp. 608–623.
CAVCAV-2013-PauleveAK #approximate #automaton #network #reachability #set
Under-Approximating Cut Sets for Reachability in Large Scale Automata Networks (LP, GA, HK), pp. 69–84.
ICLPICLP-J-2013-LiangK #analysis #logic programming #source code
A practical analysis of non-termination in large logic programs (SL, MK), pp. 705–719.
ICSTICST-2013-YeolekarUAKV #generative #model checking #testing #using
Scaling Model Checking for Test Generation Using Dynamic Inference (AY, DU, VA, SK, RV), pp. 184–191.
QoSAQoSA-2012-Marzolla #energy #optimisation
Optimizing the energy consumption of large-scale applications (MM), pp. 123–132.
WICSA-ECSAWICSA-ECSA-2012-EklundB #architecture #empirical
Architecture for Large-Scale Innovation Experiment Systems (UE, JB), pp. 244–248.
WICSA-ECSAWICSA-ECSA-2012-RathfelderBKR #email #monitoring #performance #predict #using
Workload-aware System Monitoring Using Performance Predictions Applied to a Large-scale E-Mail System (CR, SB, KK, RHR), pp. 31–40.
WICSA-ECSAWICSA-ECSA-2012-WoodsB #architecture #case study #experience #industrial #information management #using
Using an Architecture Description Language to Model a Large-Scale Information System — An Industrial Experience Report (EW, RB), pp. 239–243.
HTHT-2012-NakajimaZIN #analysis #detection
Early detection of buzzwords based on large-scale time-series analysis of blog entries (SN, JZ, YI, RYN), pp. 275–284.
PODSPODS-2012-Mahoney #approximate #data analysis
Approximate computation and implicit regularization for very large-scale data analysis (MWM), pp. 143–154.
SIGMODSIGMOD-2012-AkogluCKKF #graph #mining #named #visualisation
OPAvion: mining and visualization in large graphs (LA, DHC, UK, DK, CF), pp. 717–720.
SIGMODSIGMOD-2012-ChengKCC #approach #distance #graph #performance #query
Efficient processing of distance queries in large graphs: a vertex cover approach (JC, YK, SC, CC), pp. 457–468.
SIGMODSIGMOD-2012-FaloutsosK #algorithm #graph #mining
Managing and mining large graphs: patterns and algorithms (CF, UK), pp. 585–588.
SIGMODSIGMOD-2012-HansenL #database #named #towards
ColumbuScout: towards building local search engines over large databases (CH, FL), pp. 617–620.
SIGMODSIGMOD-2012-JinRDY #graph #named #reachability
SCARAB: scaling reachability computation on large graphs (RJ, NR, SD, JXY), pp. 169–180.
SIGMODSIGMOD-2012-JinRXL #approach #distance #graph #query
A highway-centric labeling approach for answering distance queries on large sparse graphs (RJ, NR, YX, VEL), pp. 445–456.
SIGMODSIGMOD-2012-KimPSLDC #clustering #distributed #named #performance #ram
CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster (CK, JP, NS, HL, PD, JC), pp. 841–850.
SIGMODSIGMOD-2012-LinK #machine learning #twitter
Large-scale machine learning at twitter (JL, AK), pp. 793–804.
SIGMODSIGMOD-2012-MondalD #graph
Managing large dynamic graphs efficiently (JM, AD), pp. 145–156.
SIGMODSIGMOD-2012-NeophytouGHLBLMC #comprehension #named #navigation
AstroShelf: understanding the universe through scalable navigation of a galaxy of annotations (PN, RG, RH, TL, DB, AL, GEM, PKC), pp. 713–716.
SIGMODSIGMOD-2012-PeltS #crowdsourcing #design #framework #platform
Designing a scalable crowdsourcing platform (CVP, AS), pp. 765–766.
SIGMODSIGMOD-2012-SarmaLGMH #performance
Efficient spatial sampling of large geographical tables (ADS, HL, HG, JM, AYH), pp. 193–204.
SIGMODSIGMOD-2012-ShaoWX #graph #implementation #mining
Managing and mining large graphs: systems and implementations (BS, HW, YX), pp. 589–592.
SIGMODSIGMOD-2012-Sivasubramanian #database
Amazon dynamoDB: a seamlessly scalable non-relational database service (SS), pp. 729–730.
SIGMODSIGMOD-2012-SliwkanichSYHB #corpus #summary #towards #visualisation
Towards scalable summarization and visualization of large text corpora (TS, DS, AY, MH, DB), p. 863.
SIGMODSIGMOD-2012-YangYZK #effectiveness #graph #towards
Towards effective partition management for large graphs (SY, XY, BZ, AK), pp. 517–528.
SIGMODSIGMOD-2012-YuAY #query
Processing a large number of continuous preference top-k queries (AY, PKA, JY), pp. 397–408.
VLDBVLDB-2012-AgarwalPMIMS #interactive #query
Blink and It’s Done: Interactive Queries on Very Large Data (SA, AP, BM, API, SM, IS), pp. 1902–1905.
VLDBVLDB-2012-AlexandrovTM #generative #named
Myriad: Scalable and Expressive Data Generation (AA, KT, VM), pp. 1890–1893.
VLDBVLDB-2012-BahmaniMVKV
Scalable K-Means++ (BB, BM, AV, RK, SV), pp. 622–633.
VLDBVLDB-2012-ChoiCT #algorithm #database
A Scalable Algorithm for Maximizing Range Sum in Spatial Databases (DWC, CWC, YT), pp. 1088–1099.
VLDBVLDB-2012-JestesPLT #ranking
Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
VLDBVLDB-2012-JiangBCL #named #parallel
MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking (JJ, HB, EYC, YL), pp. 1838–1849.
VLDBVLDB-2012-MetwallyF #framework #multi #named #pipes and filters #similarity
V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors (AM, CF), pp. 704–715.
VLDBVLDB-2012-PrakashF #comprehension #graph
Understanding and Managing Cascades on Large Graphs (BAP, CF), pp. 2024–2025.
VLDBVLDB-2012-Shirani-MehrKS #dataset #evaluation #performance #query #reachability
Efficient Reachability Query Evaluation in Large Spatiotemporal Contact Datasets (HSM, FBK, CS), pp. 848–859.
VLDBVLDB-2012-SilvaMZ #correlation #graph #mining
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs (AS, WMJ, MJZ), pp. 466–477.
VLDBVLDB-2012-SowellGS #distributed #multi #named
Minuet: A Scalable Distributed Multiversion B-Tree (BS, WMG, MAS), pp. 884–895.
VLDBVLDB-2012-VoWACO #database #in the cloud #named
LogBase: A Scalable Log-structured Database System in the Cloud (HTV, SW, DA, GC, BCO), pp. 1004–1015.
VLDBVLDB-2012-YuanWCW #database #graph #performance #probability #similarity
Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases (YY, GW, LC, HW), pp. 800–811.
VLDBVLDB-2013-ZhaoT12 #analysis #network #social #visual notation
Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis (FZ, AKHT), pp. 85–96.
CSEETCSEET-2012-MacKellar #case study #communication #re-engineering
A Case Study of Group Communication Patterns in a Large Project Software Engineering Course (BM), pp. 134–138.
CSMRCSMR-2012-Koschke #clone detection #detection #using
Large-Scale Inter-System Clone Detection Using Suffix Trees (RK), pp. 309–318.
ICSMEICSM-2012-BauerHHJC #analysis #framework #incremental #quality
A framework for incremental quality analysis of large software systems (VB, LH, BH, EJ, MC), pp. 537–546.
ICSMEICSM-2012-QiML #automation #performance #source code #using
Making automatic repair for large-scale programs more efficient using weak recompilation (YQ, XM, YL), pp. 254–263.
MSRMSR-2012-BirdN #development #distributed #open source #what
Who? Where? What? Examining distributed development in two large open source projects (CB, NN), pp. 237–246.
MSRMSR-2012-Breckel #comparison #database #debugging #detection #fault #mining
Error mining: Bug detection through comparison with large code databases (AB), pp. 175–178.
WCREWCRE-2012-AlomariCM #approach #performance #slicing
A Very Efficient and Scalable Forward Static Slicing Approach (HWA, MLC, JIM), pp. 425–434.
ICALPICALP-v1-2012-DinitzKR #approximate
Label Cover Instances with Large Girth and the Hardness of Approximating Basic k-Spanner (MD, GK, RR), pp. 290–301.
CHICHI-2012-BaurBB #analysis #component #music
Listening factors: a large-scale principal components analysis of long-term music listening histories (DB, JB, AB), pp. 1273–1276.
CHICHI-2012-DunneRLMR #multi #named #network
GraphTrail: analyzing large multivariate, heterogeneous networks while supporting exploration history (CD, NHR, BL, RAM, GGR), pp. 1663–1672.
CHICHI-2012-FisherPDs #dataset #incremental #performance #trust #visualisation
Trust me, I’m partially right: incremental visualization lets analysts explore large datasets faster (DF, IOP, SMD, MMCS), pp. 1673–1682.
CHICHI-2012-GuyURWO #enterprise #people
Best faces forward: a large-scale study of people search in the enterprise (IG, SU, IR, SW, TO), pp. 1775–1784.
CHICHI-2012-JoshiKC #mobile
Looking at you: fused gyro and face tracking for viewing large imagery on mobile devices (NJ, AK, MFC), pp. 2211–2220.
CHICHI-2012-KhaledI #game studies
Tales from the front lines of a large-scale serious game project (RK, GI), pp. 69–78.
CHICHI-2012-SchwarzKHDW #ad hoc #mobile #using
Phone as a pixel: enabling ad-hoc, large-scale displays using mobile devices (JS, DK, CH, PD, AW), pp. 2235–2238.
CHICHI-2012-SeifriedRHS #interactive #undo
Regional undo/redo techniques for large interactive surfaces (TS, CR, MH, SDS), pp. 2855–2864.
CHICHI-2012-YangFLGB #architecture #navigation #web
Aural browsing on-the-go: listening-based back navigation in large web architectures (TY, MF, YL, RRG, DB), pp. 277–286.
CSCWCSCW-2012-PhillipsRS #development #integration #parallel #process
Information needs for integration decisions in the release process of large-scale parallel development (SP, GR, JS), pp. 1371–1380.
CSCWCSCW-2012-XuB #case study #community #interactive #online #what
What do you think?: a case study of benefit, expectation, and interaction in a large online critique community (AX, BPB), pp. 295–304.
ICEISICEIS-J-2012-ChenIAPGLMW12a #enterprise
Large-Scale Enterprise Systems: Changes and Impacts (WC, AI, AA, JP, CG, ML, TSEM, AW), pp. 274–290.
ICEISICEIS-v1-2012-TertiltBK #algorithm #enterprise #modelling #performance #using
Modeling the Performance and Scalability of a SAP ERP System using an Evolutionary Algorithm (DT, AB, HK), pp. 112–118.
ICEISICEIS-v2-2012-ChenIAPGLMW #enterprise #impact analysis
Change Impact Analysis for Large-scale Enterprise Systems (WC, AI, AA, JP, CG, ML, TSEM, AW), pp. 359–368.
CIKMCIKM-2012-BabbarPGA #classification #empirical #on the #trade-off
On empirical tradeoffs in large scale hierarchical classification (RB, IP, ÉG, CA), pp. 2299–2302.
CIKMCIKM-2012-BambaSGBF #concept #recommendation #using
The twitaholic next door.: scalable friend recommender system using a concept-sensitive hash function (PB, JS, CG, NB, JF), pp. 2275–2278.
CIKMCIKM-2012-BhatiaHHS #approach #query
A scalable approach for performing proximal search for verbose patent search queries (SB, BH, QH, WSS), pp. 2603–2606.
CIKMCIKM-2012-CandanRSW #named #set #visualisation
STFMap: query- and feature-driven visualization of large time series data sets (KSC, RR, MLS, XW), pp. 2743–2745.
CIKMCIKM-2012-ChiangWD #clustering #network #normalisation #using
Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKMCIKM-2012-CreceliusS #graph #maintenance #nearest neighbour
Pay-as-you-go maintenance of precomputed nearest neighbors in large graphs (TC, RS), pp. 952–961.
CIKMCIKM-2012-DengSZ #analysis #documentation #performance
Efficient jaccard-based diversity analysis of large document collections (FD, SS, SZ), pp. 1402–1411.
CIKMCIKM-2012-GaoCK #graph #keyword
Information-complete and redundancy-free keyword search over large data graphs (BJG, ZC, QK), pp. 2639–2642.
CIKMCIKM-2012-GubichevN #approximate #graph #performance
Fast approximation of steiner trees in large graphs (AG, TN), pp. 1497–1501.
CIKMCIKM-2012-JatowtT #analysis
Large scale analysis of changes in english vocabulary over recent time (AJ, KT), pp. 2523–2526.
CIKMCIKM-2012-LiYWK #graph #proximity
Density index and proximity search in large graphs (NL, XY, ZW, AK), pp. 235–244.
CIKMCIKM-2012-LuZZX #image #learning #semantics #set
Semantic context learning with large-scale weakly-labeled image set (YL, WZ, KZ, XX), pp. 1859–1863.
CIKMCIKM-2012-NegahbanRG #learning #multi #performance #statistics #using
Scaling multiple-source entity resolution using statistically efficient transfer learning (SN, BIPR, JG), pp. 2224–2228.
CIKMCIKM-2012-RahmanBH #algorithm #analysis #approximate #graph #named
GRAFT: an approximate graphlet counting algorithm for large graph analysis (MR, MB, MAH), pp. 1467–1471.
CIKMCIKM-2012-SakrEH #graph #hybrid #named #query
G-SPARQL: a hybrid engine for querying large attributed graphs (SS, SE, YH), pp. 335–344.
CIKMCIKM-2012-SarmaJMB #automation
An automatic blocking mechanism for large-scale de-duplication tasks (ADS, AJ, AM, PB), pp. 1055–1064.
CIKMCIKM-2012-ShenRS #categorisation #e-commerce
Large-scale item categorization for e-commerce (DS, JDR, BS), pp. 595–604.
CIKMCIKM-2012-TongPEFF #graph
Gelling, and melting, large graphs by edge manipulation (HT, BAP, TER, MF, CF), pp. 245–254.
CIKMCIKM-2012-XiangFWHR #corpus #detection #topic #twitter
Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
CIKMCIKM-2012-YangZW #collaboration #incremental #predict #using
Scalable collaborative filtering using incremental update and local link prediction (XY, ZZ, KW), pp. 2371–2374.
ICMLICML-2012-GoodfellowCB #learning
Large-Scale Feature Learning With Spike-and-Slab Sparse Coding (IJG, ACC, YB), p. 180.
ICMLICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.
ICMLICML-2012-KoS #modelling
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models (YJK, MWS), p. 229.
ICMLICML-2012-LeRMDCCDN #learning #using
Building high-level features using large scale unsupervised learning (QVL, MR, RM, MD, GC, KC, JD, AYN), p. 69.
ICMLICML-2012-ScherrerHTH #algorithm #coordination #problem
Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems (CS, MH, AT, DH), p. 50.
ICPRICPR-2012-AyvaciJLCS #self #video
Video upscaling via spatio-temporal self-similarity (AA, HJ, ZL, SC, SS), pp. 2190–2193.
ICPRICPR-2012-BespalovQBS #classification #image #using
Large-scale image classification using supervised spatial encoder (DB, YQ, BB, AS), pp. 581–584.
ICPRICPR-2012-ChenYY #analysis #null #recognition
Large margin null space discriminant analysis with applications to face recognition (XC, JY, WY), pp. 1679–1682.
ICPRICPR-2012-FausserS #clustering #dataset #kernel
Clustering large datasets with kernel methods (SF, FS), pp. 501–504.
ICPRICPR-2012-LiuCSTN #learning #multi #performance #problem #recursion
Recursive NMF: Efficient label tree learning for large multi-class problems (LL, PMC, SS, PNT, AN), pp. 2148–2151.
ICPRICPR-2012-SahayR #3d #modelling #re-engineering #self
Harnessing self-similarity for reconstruction of large missing regions in 3D Models (PS, ANR), pp. 101–104.
ICPRICPR-2012-SjobergKIL #classification #concept #detection #linear #realtime #visual notation
Real-time large-scale visual concept detection with linear classifiers (MS, MK, SI, JL), pp. 421–424.
ICPRICPR-2012-SunLI #quality
A pixel-domain mode-mapping based SVC-to-AVC transcoder with coarse grain quality scalability (LS, ZL, TI), pp. 939–942.
ICPRICPR-2012-VidalCMST #database #image
Sorted dominant local color for searching large and heterogeneous image databases (MLAV, JMBC, ESdM, ASdS, RdST), pp. 1960–1963.
ICPRICPR-2012-ZhangFWZJ #image #using
Scalable image co-segmentation using color and covariance features (SZ, WF, LW, JZ, JJ), pp. 3708–3711.
KDDKDD-2012-ChauAVTF #graph #interactive #named #visualisation
TourViz: interactive visualization of connection pathways in large graphs (DHC, LA, JV, HT, CF), pp. 1516–1519.
KDDKDD-2012-HalawiDGK #constraints #learning #word
Large-scale learning of word relatedness with constraints (GH, GD, EG, YK), pp. 1406–1414.
KDDKDD-2012-HendersonGETBAKFL #graph #mining #named
RolX: structural role extraction & mining in large graphs (KH, BG, TER, HT, SB, LA, DK, CF, LL), pp. 1231–1239.
KDDKDD-2012-KangPHF #algorithm #analysis #named
GigaTensor: scaling tensor analysis up by 100 times — algorithms and discoveries (UK, EEP, AH, CF), pp. 316–324.
KDDKDD-2012-KuksaP #evaluation #kernel #performance #sequence
Efficient evaluation of large sequence kernels (PPK, VP), pp. 759–767.
KDDKDD-2012-LiuBEWFZ #comparison #mining
Mining large-scale, sparse GPS traces for map inference: comparison of approaches (XL, JB, JE, YW, GF, YZ), pp. 669–677.
KDDKDD-2012-Posse #lessons learnt #network #recommendation #social
Key lessons learned building recommender systems for large-scale social networks (CP), p. 587.
KDDKDD-2012-SindhwaniG #distributed #learning #taxonomy
Large-scale distributed non-negative sparse coding and sparse dictionary learning (VS, AG), pp. 489–497.
KDDKDD-2012-StantonK #clustering #distributed #graph #streaming
Streaming graph partitioning for large distributed graphs (IS, GK), pp. 1222–1230.
KDDKDD-2012-XingLHCHLLMZ #behaviour #chat #detection #online #video
Scalable misbehavior detection in online video chat services (XX, YLL, SH, HC, RH, QL, XL, SM, YZ), pp. 552–560.
KMISKMIS-2012-MarsanCE #analysis #behaviour #enterprise #framework #information management #platform #tool support #using
Factors Influencing the Behavioral Intention of using Enterprise 2.0 Tools as a Knowledge Management Platform — An Analysis of the UTAUT Model in an Large Real Estate Company (BM, LC, EE), pp. 281–284.
RecSysRecSys-2012-BellufXG #case study #online #personalisation #recommendation
Case study on the business value impact of personalized recommendations on a large online retailer (TB, LX, RG), pp. 277–280.
RecSysRecSys-2012-SchelterBM #pipes and filters #similarity
Scalable similarity-based neighborhood methods with MapReduce (SS, CB, VM), pp. 163–170.
SEKESEKE-2012-Collazo-MojicaSEB #constraints #monitoring
Cloud Application Resource Mapping and Scaling Based on Monitoring of QoS Constraints (XJCM, SMS, JE, RMB), pp. 88–93.
SIGIRSIGIR-2012-GaoWL #graph #information retrieval #learning #mining
Large-scale graph mining and learning for information retrieval (BG, TW, TYL), pp. 1194–1195.
SIGIRSIGIR-2012-KongLG #image #retrieval
Manhattan hashing for large-scale image retrieval (WK, WJL, MG), pp. 45–54.
SIGIRSIGIR-2012-LeiCCIH #layout #retrieval
Where is who: large-scale photo retrieval by facial attributes and canvas layout (YHL, YYC, BCC, LI, WHH), pp. 701–710.
SIGIRSIGIR-2012-Najork #detection #web
Detecting quilted web pages at scale (MN), pp. 385–394.
SIGIRSIGIR-2012-SeverynM #learning #ranking
Structural relationships for large-scale learning of answer re-ranking (AS, AM), pp. 741–750.
SIGIRSIGIR-2012-ShenPWY #concept #modelling #music
Modeling concept dynamics for large scale music search (JS, HP, MW, SY), pp. 455–464.
SIGIRSIGIR-2012-WangCXL #matrix #modelling #topic
Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.
SIGIRSIGIR-2012-XiaWHJ #image #kernel #multi #retrieval
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (HX, PW, SCHH, RJ), pp. 55–64.
SIGIRSIGIR-2012-YuLZZL #estimation #network #performance #towards
SimFusion+: extending simfusion towards efficient estimation on large and dynamic networks (WY, XL, WZ, YZ, JL), pp. 365–374.
MODELSMoDELS-2012-KuhnMT #case study #development #modelling
An Exploratory Study of Forces and Frictions Affecting Large-Scale Model-Driven Development (AK, GCM, CAT), pp. 352–367.
MODELSMoDELS-2012-ScheidgenZFK #automation #modelling
Automated and Transparent Model Fragmentation for Persisting Large Models (MS, AZ, JF, THK), pp. 102–118.
SPLCSPLC-2012-JohansenHF #algorithm #array #feature model #generative #modelling
An algorithm for generating t-wise covering arrays from large feature models (MFJ, ØH, FF), pp. 46–55.
TOOLSTOOLS-EUROPE-J-2011-LavalFVD12 #performance #ranking #retrieval
Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JL, JRF, PV, SD), pp. 1–24.
ECOOPECOOP-2012-DeD #analysis #java #pointer
Scalable Flow-Sensitive Pointer Analysis for Java with Strong Updates (AD, DD), pp. 665–687.
ECOOPECOOP-2012-GudkaHE #library
Lock Inference in the Presence of Large Libraries (KG, TH, SE), pp. 308–332.
OOPSLAOOPSLA-2012-SiddiquiK #analysis #execution #symbolic computation #using
Scaling symbolic execution using ranged analysis (JHS, SK), pp. 523–536.
PLDIPLDI-2012-RamanZSVY #concurrent #detection #parallel #precise
Scalable and precise dynamic datarace detection for structured parallelism (RR, JZ, VS, MTV, EY), pp. 531–542.
ASEASE-2012-YuanG #approach #clone detection #detection #named
Boreas: an accurate and scalable token-based approach to code clone detection (YY, YG), pp. 286–289.
FSEFSE-2012-ChandramohanTS #behaviour #clustering #modelling
Scalable malware clustering through coarse-grained behavior modeling (MC, HBKT, LKS), p. 27.
FSEFSE-2012-Torlak #generative #modelling #multi #testing
Scalable test data generation from multidimensional models (ET), p. 36.
ICSEICSE-2012-AndronickJKKSZZ #perspective #process #verification
Large-scale formal verification in practice: A process perspective (JA, DRJ, GK, RK, MS, HZ, LZ), pp. 1002–1011.
ICSEICSE-2012-CaiC #concurrent #detection #named
MagicFuzzer: Scalable deadlock detection for large-scale applications (YC, WKC), pp. 606–616.
ICSEICSE-2012-NaganoNKAHUF #mining #repository #using
Using the GPGPU for scaling up Mining Software Repositories (RN, HN, YK, BA, KH, NU, AF), pp. 1435–1436.
ICSEICSE-2012-Penix #automation #in the cloud #testing
Large-scale test automation in the cloud (JP), p. 1122.
ICSEICSE-2012-PloomSG #migration #process
Methodology for migration of long running process instances in a global large scale BPM environment in Credit Suisse’s SOA landscape (TP, SS, AG), pp. 977–986.
ICSEICSE-2012-ShahzadSL #analysis #lifecycle
A large scale exploratory analysis of software vulnerability life cycles (MS, MZS, AXL), pp. 771–781.
ICSEICSE-2012-SillittiSV #case study #comprehension #developer #industrial #programming
Understanding the impact of Pair Programming on developers attention: A case study on a large industrial experimentation (AS, GS, JV), pp. 1094–1101.
SACSAC-2012-DestefanisTCM #analysis #anti #java
An analysis of anti-micro-patterns effects on fault-proneness in large Java systems (GD, RT, GC, MM), pp. 1251–1253.
SACSAC-2012-KangJC #3d #using #video
Scalable depth map coding for 3D video using contour information (JK, HJ, KC), pp. 1028–1029.
SACSAC-2012-KhucSRR #analysis #distributed #sentiment #towards #twitter
Towards building large-scale distributed systems for twitter sentiment analysis (VNK, CS, RR, JR), pp. 459–464.
SACSAC-2012-KorahSS #framework #multi #realtime
Multi-agent framework for real-time processing of large and dynamic search spaces (JK, EES, ESJ), pp. 755–762.
SACSAC-2012-LassaigneP #approximate #markov #process #verification
Approximate planning and verification for large markov decision processes (RL, SP), pp. 1314–1319.
SACSAC-2012-LeitnerSHID #middleware #named #novel
CloudScale: a novel middleware for building transparently scaling cloud applications (PL, BS, WH, CI, SD), pp. 434–440.
SACSAC-2012-ReichertKBB #personalisation #process #visualisation
Enabling personalized visualization of large business processes through parameterizable views (MR, JK, RB, TB), pp. 1653–1660.
ASPLOSASPLOS-2012-ClementsKZ #using
Scalable address spaces using RCU balanced trees (ATC, MFK, NZ), pp. 199–210.
CASECASE-2012-FeiMAL #approach #automaton #finite
A symbolic approach to large-scale discrete event systems modeled as finite automata with variables (ZF, SM, , BL), pp. 502–507.
CASECASE-2012-YuLCCJ #automation
Automated robotic service in large-scale exhibition environments (WY, YCL, SC, HC, JJ), pp. 1156–1161.
DACDAC-2012-ChenZCZX #mobile #streaming #video
Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices (XC, JZ, YC, MZ, CJX), pp. 1000–1005.
DACDAC-2012-JiangZZY #embedded #multi #performance
Constructing large and fast multi-level cell STT-MRAM based cache for embedded processors (LJ, BZ, YZ, JY), pp. 907–912.
DACDAC-2012-LiuH #network #simulation
Dynamic river network simulation at large scale (FL, BRH), pp. 723–728.
DACDAC-2012-QiuM #question
Can pin access limit the footprint scaling? (XQ, MMS), pp. 1100–1106.
DACDAC-2012-WenZCWX #analysis #named #performance #reliability #statistics
PS3-RAM: a fast portable and scalable statistical STT-RAM reliability analysis method (WW, YZ, YC, YW, YX), pp. 1191–1196.
DATEDATE-2012-BartoliniSFCB #energy #performance
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer (AB, MS, JNF, AKC, LB), pp. 181–186.
DATEDATE-2012-BeckerDFMPV #embedded #evolution #modelling #named #verification
MOUSSE: Scaling modelling and verification to complex Heterogeneous Embedded Systems evolution (MB, GBD, FF, WM, GP, SV), pp. 296–299.
DATEDATE-2012-BeniniFFM #composition #ecosystem #embedded #named
P2012: Building an ecosystem for a scalable, modular and high-efficiency embedded computing accelerator (LB, EF, DF, DM), pp. 983–987.
DATEDATE-2012-RayB #verification
Scalable progress verification in credit-based flow-control systems (SR, RKB), pp. 905–910.
DATEDATE-2012-SchoenmakerMSBTJ #simulation
Large signal simulation of integrated inductors on semi-conducting substrates (WS, MM, BDS, SB, CT, RJ), pp. 1221–1226.
DATEDATE-2012-SuriBE #approach #multi #problem
A scalable GPU-based approach to accelerate the multiple-choice knapsack problem (BS, UDB, PE), pp. 1126–1129.
HPCAHPCA-2012-AhnCK #approach #architecture #network
Network within a network approach to create a scalable high-radix router microarchitecture (JHA, SC, JK), pp. 455–466.
HPCAHPCA-2012-NegiGAGS #hardware #lazy evaluation #memory management #named #transaction
π-TM: Pessimistic invalidation for scalable lazy hardware transactional memory (AN, JRTG, MEA, JMG, PS), pp. 141–152.
HPCAHPCA-2012-SanchezK #encoding #flexibility #named #set
SCD: A scalable coherence directory with flexible sharer set encoding (DS, CK), pp. 129–140.
HPDCHPDC-2012-HefeedaGA #approximate #clustering #dataset #distributed
Distributed approximate spectral clustering for large-scale datasets (MH, FG, WAA), pp. 223–234.
HPDCHPDC-2012-SchendelPJBBGLLKCKRS #hybrid #optimisation #parallel
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization (ERS, SVP, JJ, DABI, ZG, SL, QL, HK, JC, SK, RBR, NFS), pp. 61–72.
HPDCHPDC-2012-UenoS #benchmark #graph #metric
Highly scalable graph search for the Graph500 benchmark (KU, TS), pp. 149–160.
ISMMISMM-2012-IyengarGWM #concurrent #parallel
Scalable concurrent and parallel mark (BI, EFG, MW, KM), pp. 61–72.
LCTESLCTES-2012-HashemiFGE #embedded #named #streaming
FORMLESS: scalable utilization of embedded manycores in streaming applications (MH, MHF, SG, CE), pp. 71–78.
OSDIOSDI-2012-HanMCR #interface #named #network #programming
MegaPipe: A New Programming Interface for Scalable Network I/O (SH, SM, BGC, SR), pp. 135–148.
OSDIOSDI-2012-KyrolaBG #graph #named
GraphChi: Large-Scale Graph Computation on Just a PC (AK, GEB, CG), pp. 31–46.
PDPPDP-2012-DavidovicQ #problem #reduction #symmetry
Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs (DD, ESQO), pp. 442–449.
PDPPDP-2012-RungerS #interactive #manycore #parallel #simulation
Interaction List Compression in Large Parallel Particle Simulations on Multicore Systems (GR, MS), pp. 190–197.
PPoPPPPoPP-2012-DinhAJGMR #debugging #parallel #statistics
Scalable parallel debugging with statistical assertions (MND, DA, CJ, AG, BM, LDR), pp. 311–312.
PPoPPPPoPP-2012-HuynhHWG #framework #multi #streaming
Scalable framework for mapping streaming applications onto multi-GPU systems (HPH, AH, WFW, RSMG), pp. 1–10.
PPoPPPPoPP-2012-MerrillGG #gpu #graph #traversal
Scalable GPU graph traversal (DM, MG, ASG), pp. 117–128.
PPoPPPPoPP-2012-NobariCKB #parallel
Scalable parallel minimum spanning forest computation (SN, TTC, PK, SB), pp. 205–214.
PPoPPPPoPP-2012-TaoBB #development #gpu #kernel #using
Using GPU’s to accelerate stencil-based computation kernels for the development of large scale scientific applications on heterogeneous systems (JT, MB, SRB), pp. 287–288.
STOCSTOC-2012-AlonMS #graph
Nearly complete graphs decomposable into large induced matchings and their applications (NA, AM, BS), pp. 1079–1090.
CAVCAV-2012-Venet #analysis #difference #invariant #linear
The Gauge Domain: Scalable Analysis of Linear Inequality Invariants (AV), pp. 139–154.
ICSTICST-2012-JonssonBSE #automation #towards #using
Towards Automated Anomaly Report Assignment in Large Complex Systems Using Stacked Generalization (LJ, DB, KS, SE), pp. 437–446.
ICSTICST-2012-KimKR #approach #distributed #empirical #evaluation #testing
A Scalable Distributed Concolic Testing Approach: An Empirical Evaluation (MK, YK, GR), pp. 340–349.
ICSTICST-2012-Nguyen #comprehension #detection #performance #using
Using Control Charts for Detecting and Understanding Performance Regressions in Large Software (THDN), pp. 491–494.
ICSTICST-2012-ZamanAH #analysis #empirical #performance
A Large Scale Empirical Study on User-Centric Performance Analysis (SZ, BA, AEH), pp. 410–419.
IJCARIJCAR-2012-KuhlweinLTUH #evaluation #overview
Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics (DK, TvL, ET, JU, TH), pp. 378–392.
ICSTSAT-2012-BloomGHSSS #framework #game studies #named #parallel #satisfiability
SatX10: A Scalable Plug&Play Parallel SAT Framework — (BB, DG, BH, AS, HS, VAS), pp. 463–468.
ICSTSAT-2012-HyvarinenM #design #parallel #satisfiability
Designing Scalable Parallel SAT Solvers (AEJH, NM), pp. 214–227.
WICSAWICSA-2011-HarrisonC #architecture
Attempting to Understand the Progress of Software Architecture Decision-Making on Large Australian Defence Projects (TCH, APC), pp. 42–45.
ICDARICDAR-2011-BaeXE #comprehension #documentation
Facilitating Understanding of Large Document Collections (JHB, WX, ME), pp. 1334–1338.
ICDARICDAR-2011-ChenZN #generative #online #recognition
Effects of Generating a Large Amount of Artificial Patterns for On-line Handwritten Japanese Character Recognition (BC, BZ, MN), pp. 663–667.
ICDARICDAR-2011-SpasojevicP #clustering #similarity
Large Scale Page-Based Book Similarity Clustering (NS, GP), pp. 119–125.
ICDARICDAR-2011-ZhuN11a #classification #online #recognition
A Coarse Classifier Construction Method from a Large Number of Basic Recognizers for On-line Recognition of Handwritten Japanese Characters (BZ, MN), pp. 1090–1094.
SIGMODSIGMOD-2011-DongS #detection
Large-scale copy detection (XLD, DS), pp. 1205–1208.
SIGMODSIGMOD-2011-KhanLYGCT #graph #network #performance
Neighborhood based fast graph search in large networks (AK, NL, XY, ZG, SC, ST), pp. 901–912.
SIGMODSIGMOD-2011-KonstantinidisA #approach #graph #query
Scalable query rewriting: a graph-based approach (GK, JLA), pp. 97–108.
SIGMODSIGMOD-2011-LiMDMS #framework #pipes and filters #platform #using
A platform for scalable one-pass analytics using MapReduce (BL, EM, YD, AM, PJS), pp. 985–996.
SIGMODSIGMOD-2011-LinACOW #framework #named #pipes and filters
Llama: leveraging columnar storage for scalable join processing in the MapReduce framework (YL, DA, CC, BCO, SW), pp. 961–972.
SIGMODSIGMOD-2011-SatuluriPR #clustering #graph
Local graph sparsification for scalable clustering (VS, SP, YR), pp. 721–732.
TPDLTPDL-2011-EckertP #classification #library
An Application to Support Reclassification of Large Libraries (KE, MP), pp. 461–464.
TPDLTPDL-2011-WongCRCX #interactive #library #named #visualisation
INVISQUE: Technology and Methodologies for Interactive Information Visualization and Analytics in Large Library Collections (BLWW, S(C, CR, RC, KX), pp. 227–235.
VLDBVLDB-2011-BeyerEGBEKOS #data analysis #named #scripting language #semistructured data
Jaql: A Scripting Language for Large Scale Semistructured Data Analysis (KSB, VE, RG, AB, MYE, CCK, , EJS), pp. 1272–1283.
VLDBVLDB-2011-DalviKS #automation #web
Automatic Wrappers for Large Scale Web Extraction (NND, RK, MAS), pp. 219–230.
VLDBVLDB-2011-DashPA #interactive #named
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads (DD, NP, AA), pp. 362–372.
VLDBVLDB-2011-FurcheGGSS #named #web
OXPath: A Language for Scalable, Memory-efficient Data Extraction from Web Applications (TF, GG, GG, CS, AJS), pp. 1016–1027.
VLDBVLDB-2011-HuangAR #graph #query #rdf
Scalable SPARQL Querying of Large RDF Graphs (JH, DJA, KR), pp. 1123–1134.
VLDBVLDB-2011-NiuRDS #logic #markov #named #network #statistics #using
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (FN, CR, AD, JWS), pp. 373–384.
VLDBVLDB-2011-PansareBJC #online #pipes and filters
Online Aggregation for Large MapReduce Jobs (NP, VRB, CJ, TC), pp. 1135–1145.
VLDBVLDB-2011-RaoST #consistency #using
Using Paxos to Build a Scalable, Consistent, and Highly Available Datastore (JR, EJS, ST), pp. 243–254.
VLDBVLDB-2011-RastogiDG
Large-Scale Collective Entity Matching (VR, NND, MNG), pp. 208–218.
VLDBVLDB-2011-YuanWWC #graph #nondeterminism #performance
Efficient Subgraph Search over Large Uncertain Graphs (YY, GW, HW, LC), pp. 876–886.
VLDBVLDB-2011-ZhuQLYHY #mining #network
Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
VLDBVLDB-2012-BarskyKWH11 #correlation #dataset #mining #taxonomy
Mining Flipping Correlations from Large Datasets with Taxonomies (MB, SK, TW, JH), pp. 370–381.
VLDBVLDB-2012-GaoJZYJW11 #approach #graph #relational
Relational Approach for Shortest Path Discovery over Large Graphs (JG, RJ, JZ, JXY, XJ, TW), pp. 358–369.
VLDBVLDB-2012-JestesYL11 #pipes and filters
Building Wavelet Histograms on Large Data in MapReduce (JJ, KY, FL), pp. 109–120.
ITiCSEITiCSE-2011-VihavainenPLK
Extreme apprenticeship method: key practices and upward scalability (AV, MP, ML, JK), pp. 273–277.
SIGITESIGITE-2011-KurhilaV #programming #tool support
Management, structures and tools to scale up personal advising in large programming courses (JK, AV), pp. 3–8.
CSMRCSMR-2011-Borg #evaluation #traceability
In Vivo Evaluation of Large-Scale IR-Based Traceability Recovery (MB), pp. 365–368.
ICPCICPC-2011-AlawnehH #named #performance
MTF: A Scalable Exchange Format for Traces of High Performance Computing Systems (LA, AHL), pp. 181–184.
ICPCICPC-2011-Cordy #clone detection #detection #incremental #similarity #using
Exploring Large-Scale System Similarity Using Incremental Clone Detection and Live Scatterplots (JRC), pp. 151–160.
ICPCICPC-2011-FabryKD #named #visualisation
AspectMaps: A Scalable Visualization of Join Point Shadows (JF, AK, SD), pp. 121–130.
ICPCICPC-2011-Medini #automation #concept #execution #mining
Scalable Automatic Concept Mining from Execution Traces (SM), pp. 238–241.
ICPCICPC-2011-PanchenkoKPZ #database #precise #query #source code #using
Precise and Scalable Querying of Syntactical Source Code Patterns Using Sample Code Snippets and a Database (OP, JK, HP, AZ), pp. 41–50.
ICSMEICSM-2011-JiresalCN #cobol #detection #precise #source code
Precise detection of un-initialized variables in large, real-life COBOL programs in presence of unrealizable paths (RJ, AC, RN), pp. 448–456.
ICSMEICSM-2011-KobayashiMIHKY #fault #impact analysis #named #predict
ImpactScale: Quantifying change impact to predict faults in large software systems (KK, AM, KI, YH, MK, TY), pp. 43–52.
WCREWCRE-2011-AbdeenDS #composition #legacy #metric #object-oriented
Modularization Metrics: Assessing Package Organization in Legacy Large Object-Oriented Software (HA, SD, HAS), pp. 394–398.
WCREWCRE-2011-ShangJAHGNF #case study #evolution #execution
An Exploratory Study of the Evolution of Communicated Information about the Execution of Large Software Systems (WS, ZMJ, BA, AEH, MWG, MNN, PF), pp. 335–344.
WCREWCRE-2011-UddinRSH #detection #effectiveness #on the
On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems (MSU, CKR, KAS, AH), pp. 13–22.
DiGRADiGRA-2011-SzymanezykDD #game studies #social
From Individual Characters to Large Crowds: Augmenting the Believability of Open-World Games through Exploring Social Emotion in Pedestrian Groups (OS, PD, TD).
CHICHI-2011-BeyerAMSIKSH #behaviour #interactive
Audience behavior around large interactive cylindrical screens (GB, FA, JM, AS, KI, SK, MS, IH), pp. 1021–1030.
CHICHI-2011-BragdonK #gesture
Gesture select: : acquiring remote targets on large displays without pointing (AB, HSK), pp. 187–196.
CHICHI-2011-ChauKHF #interactive #machine learning #named #network
Apolo: making sense of large network data by combining rich user interaction and machine learning (DHC, AK, JIH, CF), pp. 167–176.
CHICHI-2011-CostaCS #collaboration #coordination #distributed #evolution #generative #tool support
The scale and evolution of coordination needs in large-scale distributed projects: implications for the future generation of collaborative tools (JMdRC, MC, CRBdS), pp. 3151–3160.
CHICHI-2011-TuiteSHTP #game studies #image #named
PhotoCity: training experts at large-scale image acquisition through a competitive game (KT, NS, DYH, NT, ZP), pp. 1383–1392.
CSCWCSCW-2011-AlvesF #adaptation #chat #consistency #multi #named #performance #requirements
ReConMUC: adaptable consistency requirements for efficient large-scale multi-user chat (PA, PF), pp. 553–562.
CSCWCSCW-2011-BoltonKV #privacy
Privacy and sharing information on spherical and large flat displays (JB, KK, RV), pp. 573–574.
CSCWCSCW-2011-HandelP #case study #experience
Working around official applications: experiences from a large engineering project (MJH, SEP), pp. 309–312.
HCIDUXU-v1-2011-HeckerB #case study #enterprise #experience #process #user interface
Scalability of UX Activities in Large Enterprises: An Experience Report from SAP AG (BH, MB), pp. 425–431.
HCIDUXU-v1-2011-RiceTW #enterprise #testing #usability
ISO 25062 Usability Test Planning for a Large Enterprise Applications Suite (SR, JT, AMW), pp. 185–192.
HCIDUXU-v2-2011-KaptanG11a #comprehension
Improving Code Reading and Comprehension on Large Displays (SNK, MG), pp. 128–134.
HCIDUXU-v2-2011-RubegniML #interactive #social #using
Talking to Strangers: Using Large Public Displays to Facilitate Social Interaction (ER, NM, ML), pp. 195–204.
HCIHCD-2011-KlineQ #network
Attribute Description Service for Large-Scale Networks (DK, JQ), pp. 519–528.
HCIHCI-DDA-2011-GaoZRMS #overview #performance #perspective #visualisation
Performance Visualization for Large-Scale Computing Systems: A Literature Review (QG, XZ, PLPR, AAM, HJS), pp. 450–460.
HCIHCI-DDA-2011-MoehrmannBSWH #image #set #usability
Improving the Usability of Hierarchical Representations for Interactively Labeling Large Image Data Sets (JM, SB, TS, GW, GH), pp. 618–627.
HCIHCI-DDA-2011-Sandnes #configuration management #framework #image
A Configurable Photo Browser Framework for Large Image Collections (FES), pp. 643–652.
HCIHCI-ITE-2011-AngeliniCCKM #gesture #interactive #multi #using
Multi-user Pointing and Gesture Interaction for Large Screen Using Infrared Emitters and Accelerometers (LA, MC, SC, OAK, EM), pp. 185–193.
HCIHCI-ITE-2011-AsanOPM #case study #design #interface
Designing a Better Morning: A Study on Large Scale Touch Interface Design (OA, MO, DP, ENHM), pp. 13–22.
HCIHCI-UA-2011-LiuS #performance
uMeeting, an Efficient Co-located Meeting System on the Large-Scale Tabletop (JL, YS), pp. 368–374.
HCIHIMI-v2-2011-TanerYNB #generative #performance
An Efficient and Scalable Meeting Minutes Generation and Presentation Technique (BT, CY, AON, SB), pp. 345–352.
VISSOFTVISSOFT-2011-BroeksemaT #migration #visual notation
Visual support for porting large code bases (BB, ACT), pp. 1–8.
VISSOFTVISSOFT-2011-MaleticMNCSR #named #tool support #visualisation
MosaiCode: Visualizing large scale software: A tool demonstration (JIM, DJM, CDN, MLC, AS, BPR), pp. 1–4.
ICEISICEIS-v4-2011-ZhouZ #case study
Study on the Long-term Incentive Mechanism of the Large-scale Dredging Project (BZ, ZZ), pp. 574–580.
CIKMCIKM-2011-Baumann #array
Large-scale array analytics: taming the data tsunami (PB), pp. 2599–2600.
CIKMCIKM-2011-Bradford #implementation #semantics
Implementation techniques for large-scale latent semantic indexing applications (RBB), pp. 339–344.
CIKMCIKM-2011-CaiZLZ #classification #semantics #wiki
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge (LC, GZ, KL, JZ), pp. 1321–1330.
CIKMCIKM-2011-ChangYQZW #network
Finding information nebula over large networks (LC, JXY, LQ, YZ, HW), pp. 1465–1474.
CIKMCIKM-2011-FlorezD #similarity
Scalable similarity search of timeseries with variable dimensionality (OUF, CED), pp. 2545–2548.
CIKMCIKM-2011-JatowtY
Extracting collective expectations about the future from large text collections (AJ, CmAY), pp. 1259–1264.
CIKMCIKM-2011-LauLBW #learning #sentiment #web
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons (RYKL, CLL, PB, KFW), pp. 2457–2460.
CIKMCIKM-2011-LeeLH
Scalable entity matching computation with materialization (SL, JL, SwH), pp. 2353–2356.
CIKMCIKM-2011-LiuT #behaviour #social
Large-scale behavioral targeting with a social twist (KL, LT), pp. 1815–1824.
CIKMCIKM-2011-MullerAGS #clustering
Scalable density-based subspace clustering (EM, IA, SG, TS), pp. 1077–1086.
CIKMCIKM-2011-SantosMP #information retrieval
Large-scale information retrieval experimentation with terrier (RLTS, RM, VP), pp. 2601–2602.
CIKMCIKM-2011-ShastriDRW #multi #named
MTopS: scalable processing of continuous top-k multi-query workloads (AS, DY, EAR, MOW), pp. 1107–1116.
CIKMCIKM-2011-TomasATV #named #query
RoSeS: a continuous query processor for large-scale RSS filtering and aggregation (JCT, BA, NT, DV), pp. 2549–2552.
CIKMCIKM-2011-TretyakovAGVD #estimation #graph #performance
Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs (KT, AAC, LGB, JV, MD), pp. 1785–1794.
CIKMCIKM-2011-WeilerMM #ambiguity #approach #library #named
Authormagic: an approach to author disambiguation in large-scale digital libraries (HW, KMW, SM), pp. 2293–2296.
CIKMCIKM-2011-XieY #graph #named #performance
CP-index: on the efficient indexing of large graphs (YX, PSY), pp. 1795–1804.
CIKMCIKM-2011-XuZYCXZ #constraints #graph #reachability
Answering label-constraint reachability in large graphs (KX, LZ, JXY, LC, YX, DZ), pp. 1595–1600.
CIKMCIKM-2011-YalnizCM #detection
Partial duplicate detection for large book collections (IZY, EFC, RM), pp. 469–474.
CIKMCIKM-2011-YeungJ #how #mining #towards
Studying how the past is remembered: towards computational history through large scale text mining (CmAY, AJ), pp. 1231–1240.
CIKMCIKM-2011-ZhouPW #constraints #graph #keyword #performance
Efficient association discovery with keyword-based constraints on large graph data (MZ, YP, YW), pp. 2441–2444.
CIKMCIKM-2011-ZhuQYKL #graph #performance #quality
High efficiency and quality: large graphs matching (YZ, LQ, JXY, YK, XL), pp. 1755–1764.
ECIRECIR-2011-ArampatzisZC #database #image #multimodal #retrieval
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases (AA, KZ, SAC), pp. 326–337.
ECIRECIR-2011-ChilukaAP #approach #predict #recommendation
A Link Prediction Approach to Recommendations in Large-Scale User-Generated Content Systems (NC, NA, JAP), pp. 189–200.
ECIRECIR-2011-Gatterbauer #information management
Rules of Thumb for Information Acquisition from Large and Redundant Data (WG), pp. 479–490.
ECIRECIR-2011-KurstenE #component #evaluation
A Large-Scale System Evaluation on Component-Level (JK, ME), pp. 679–682.
ECIRECIR-2011-OhCM #classification #modelling #taxonomy #using
Text Classification for a Large-Scale Taxonomy Using Dynamically Mixed Local and Global Models for a Node (HSO, YC, SHM), pp. 7–18.
ICMLICML-2011-CossalterYZ #adaptation #approximate #kernel #predict
Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction (MC, RY, LZ), pp. 409–416.
ICMLICML-2011-DauphinGB #learning #re-engineering
Large-Scale Learning of Embeddings with Reconstruction Sampling (YD, XG, YB), pp. 945–952.
ICMLICML-2011-GlorotBB #adaptation #approach #classification #learning #sentiment
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (XG, AB, YB), pp. 513–520.
ICMLICML-2011-HuWC #coordination #kernel #learning #named #parametricity #using
BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent (EH, BW, SC), pp. 209–216.
ICMLICML-2011-PazisP #set
Generalized Value Functions for Large Action Sets (JP, RP), pp. 1185–1192.
ICMLICML-2011-Shalev-ShwartzGS #constraints #rank
Large-Scale Convex Minimization with a Low-Rank Constraint (SSS, AG, OS), pp. 329–336.
ICMLICML-2011-SuSM #classification #multi #naive bayes #using
Large Scale Text Classification using Semisupervised Multinomial Naive Bayes (JS, JSS, SM), pp. 97–104.
KDDKDD-2011-AhmedLAJS #behaviour #distributed
Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
KDDKDD-2011-Boyd #distributed #embedded #optimisation #realtime
Convex optimization: from embedded real-time to large-scale distributed (SB), p. 1.
KDDKDD-2011-ChangR #convergence #linear #memory management #modelling #performance
Selective block minimization for faster convergence of limited memory large-scale linear models (KWC, DR), pp. 699–707.
KDDKDD-2011-ChauKHF #graph #interactive #machine learning #named #visualisation
Apolo: interactive large graph sensemaking by combining machine learning and visualization (DHC, AK, JIH, CF), pp. 739–742.
KDDKDD-2011-ChittaJHJ #approximate #clustering #kernel
Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDDKDD-2011-CordeiroTTLKF #clustering #dataset #multi #pipes and filters
Clustering very large multi-dimensional datasets with MapReduce (RLFC, CTJ, AJMT, JL, UK, CF), pp. 690–698.
KDDKDD-2011-GaoLWWL #graph #metadata #ranking
Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.
KDDKDD-2011-GemullaNHS #distributed #matrix #probability
Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.
KDDKDD-2011-Inchiosa #data mining #mining #using
Accelerating large-scale data mining using in-database analytics (MEI), p. 778.
KDDKDD-2011-KangTSLF #graph #named
GBASE: a scalable and general graph management system (UK, HT, JS, CYL, CF), pp. 1091–1099.
KDDKDD-2011-KashyapK
Scalable kNN search on vertically stored time series (SK, PK), pp. 1334–1342.
KDDKDD-2011-MalbasaV
Spatially regularized logistic regression for disease mapping on large moving populations (VM, SV), pp. 1352–1360.
KDDKDD-2011-TongHWKL #graph #optimisation #ranking
Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.
KDDKDD-2011-WangDCV #adaptation #classification #multi
Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification (ZW, ND, KC, SV), pp. 24–32.
KDDKDD-2011-ZhangHLSL #approach #learning #multi
Multi-view transfer learning with a large margin approach (DZ, JH, YL, LS, RDL), pp. 1208–1216.
KDIRKDIR-2011-Jean-LouisBFD #approach
A Weakly Supervised Approach for Large-scale Relation Extraction (LJL, RB, OF, AD), pp. 94–103.
MLDMMLDM-2011-ArmstrongD #database
Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases (TA, ED), pp. 539–552.
SEKESEKE-2011-QuattroneFMC #folksonomy #similarity
Measuring Similarity in Large-scale Folksonomies (GQ, EF, PDM, LC), pp. 385–391.
SEKESEKE-2011-XueJYPZ #industrial #variability
Scalability of Variability Management: An Example of Industrial Practice and Some Improvements (YX, SJ, PY, XP, WZ), pp. 705–710.
SIGIRSIGIR-2011-JethavaCBBD #identification #multi #using
Scalable multi-dimensional user intent identification using tree structured distributions (VJ, LCB, RABY, CB, DPD), pp. 395–404.
SIGIRSIGIR-2011-KanoulasSMPA #algorithm #ranking #set
A large-scale study of the effect of training set characteristics over learning-to-rank algorithms (EK, SS, PM, VP, JAA), pp. 1243–1244.
SIGIRSIGIR-2011-LagunA #interactive #named #user study #web
ViewSer: enabling large-scale remote user studies of web search examination and interaction (DL, EA), pp. 365–374.
SIGIRSIGIR-2011-LeeHWHS #dataset #graph #image #learning #multi #pipes and filters #using
Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce (WYL, LCH, GLW, WHH, YFS), pp. 1121–1122.
SIGIRSIGIR-2011-LiWLKP #named #personalisation #recommendation
SCENE: a scalable two-stage personalized news recommendation system (LL, DW, TL, DK, BP), pp. 125–134.
SIGIRSIGIR-2011-MinackSN #approach #incremental #set
Incremental diversification for very large sets: a streaming-based approach (EM, WS, WN), pp. 585–594.
SIGIRSIGIR-2011-ShiYGN #machine learning #network #recommendation #social
A large scale machine learning system for recommending heterogeneous content in social networks (YS, DY, AG, SN), pp. 1337–1338.
MODELSMoDELS-2011-Espinazo-PaganCM #approach #modelling #named
Morsa: A Scalable Approach for Persisting and Accessing Large Models (JEP, JSC, JGM), pp. 77–92.
MODELSMoDELS-2011-PalyartLOB #framework #maintenance
Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks (MP, DL, IO, JMB), pp. 213–227.
SPLCSPLC-2011-SiegmundRKGAK #non-functional #predict #product line
Scalable Prediction of Non-functional Properties in Software Product Lines (NS, MR, CK, PGG, SA, SSK), pp. 160–169.
SPLCSPLC-2011-SinhaDR #development #multi #performance #product line #reduction #testing
Governance and Cost Reduction through Multi-tier Preventive Performance Tests in a Large-Scale Product Line Development (SS, TD, RR), pp. 295–302.
SPLCSPLC-2011-TischerMMK #case study #experience #product line
Experiences from a Large Scale Software Product Line Merger in the Automotive Domain (CT, AM, TM, RK), pp. 267–276.
ECOOPECOOP-2011-Meijer
A Co-relational Model of Data for Large Shared Data Banks (EM), p. 1.
ECOOPECOOP-2011-PothierT #debugging #query
Summarized Trace Indexing and Querying for Scalable Back-in-Time Debugging (GP, ÉT), pp. 558–582.
ECOOPECOOP-2011-RichardsHBV #javascript #using
The Eval That Men Do — A Large-Scale Study of the Use of Eval in JavaScript Applications (GR, CH, BB, JV), pp. 52–78.
OOPSLAOOPSLA-2011-TuronR
Scalable join patterns (AJT, CVR), pp. 575–594.
OOPSLAOOPSLA-2011-WuHIN #java #performance
Reducing trace selection footprint for large-scale Java applications without performance loss (PW, HH, HI, TN), pp. 789–804.
TOOLSTOOLS-EUROPE-2011-FalleriDLVD #performance #ranking #retrieval
Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JRF, SD, JL, PV, SD), pp. 260–275.
PLDIPLDI-2011-BeckmanN #composition #probability #specification #type system
Probabilistic, modular and scalable inference of typestate specifications (NEB, AVN), pp. 211–221.
PLDIPLDI-2011-LiangN #abstraction #refinement
Scaling abstraction refinement via pruning (PL, MN), pp. 590–601.
POPLPOPL-2011-CousotCL #analysis #array #automation #parametricity #segmentation
A parametric segmentation functor for fully automatic and scalable array content analysis (PC, RC, FL), pp. 105–118.
RERE-2011-BjarnasonWR #case study #communication #development #requirements
Requirements are slipping through the gaps — A case study on causes & effects of communication gaps in large-scale software development (EB, KW, BR), pp. 37–46.
RERE-2011-Regnell #evolution #mobile #problem
Large-scale feature evolution: Problems and solutions from the mobile domain (BR), p. 323.
REFSQREFSQ-2011-WnukRB #challenge #complexity #development #requirements
Scaling Up Requirements Engineering — Exploring the Challenges of Increasing Size and Complexity in Market-Driven Software Development (KW, BR, BB), pp. 54–59.
ASEASE-2011-Ganai #analysis #precise
Scalable and precise symbolic analysis for atomicity violations (MKG), pp. 123–132.
ASEASE-2011-IvancicBGSMTIM #bound #framework #named #verification
DC2: A framework for scalable, scope-bounded software verification (FI, GB, AG, SS, NM, HT, TI, YM), pp. 133–142.
ASEASE-2011-RobinsonEPAL #automation #generative #source code #testing
Scaling up automated test generation: Automatically generating maintainable regression unit tests for programs (BR, MDE, JHP, VA, NL), pp. 23–32.
ESEC-FSEESEC-FSE-2011-CifuentesKLHVBZCTH #fault #using
Static deep error checking in large system applications using parfait (CC, NK, LL, NH, MV, AB, JZ, AC, DT, CH), pp. 432–435.
ESEC-FSEESEC-FSE-2011-KimK #embedded #named #reliability #testing
SCORE: a scalable concolic testing tool for reliable embedded software (YK, MK), pp. 420–423.
ICSEICSE-2011-AdlerBRSSUZ #analysis #test coverage
Code coverage analysis in practice for large systems (YA, NB, OR, OS, NS, SU, AZ), pp. 736–745.
ICSEICSE-2011-PortNHH #case study #development #experience #mining
Experiences with text mining large collections of unstructured systems development artifacts at jpl (DP, APN, JH, LH), pp. 701–710.
ICSEICSE-2011-Zhang11a #automation
Scalable automatic linearizability checking (SJZ), pp. 1185–1187.
SACSAC-2011-CaiFU #database #recognition
Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.
SACSAC-2011-ChungPK #memory management #performance
LSTAFF*: an efficient flash translation layer for large block flash memory (TSC, DJP, JK), pp. 589–594.
SACSAC-2011-FormigaLSDT #assessment #matrix #recognition
An assessment of data matrix barcode recognition under scaling, rotation and cylindrical warping (AdAF, RDL, SJS, GD, MT), pp. 266–267.
SACSAC-2011-GroppeG #database #query #semantics #web
Parallelizing join computations of SPARQL queries for large semantic web databases (JG, SG), pp. 1681–1686.
SACSAC-2011-LammelPS #analysis #java #open source
Large-scale, AST-based API-usage analysis of open-source Java projects (RL, EP, JS), pp. 1317–1324.
SACSAC-2011-LiuWYL #modelling #protocol
Scalable CP-nets modeling for BitTorrent protocol (JL, HW, XY, JL), pp. 542–543.
SACSAC-2011-RyuKPC #assessment #quality
A web-based photo management system for large photo collections with user-customizable quality assessment (DSR, KK, SYP, HGC), pp. 1229–1236.
SLESLE-2011-BastenKV #ambiguity #detection
Ambiguity Detection: Scaling to Scannerless (BB, PK, JJV), pp. 303–323.
ASPLOSASPLOS-2011-EsmaeilzadehCXBM #hardware #performance #roadmap
Looking back on the language and hardware revolutions: measured power, performance, and scaling (HE, TC, XY, SMB, KSM), pp. 319–332.
CGOCGO-2011-BorinWBW #commit #named
LAR-CC: Large atomic regions with conditional commits (EB, YW, MBJ, CW), pp. 54–63.
CGOCGO-2011-GreathouseLAB #analysis #data flow #distributed
Highly scalable distributed dataflow analysis (JLG, CL, TMA, VB), pp. 277–288.
DACDAC-2011-ChippaRRC #trade-off
Dynamic effort scaling: managing the quality-efficiency tradeoff (VKC, AR, KR, STC), pp. 603–608.
DACDAC-2011-HsiaoD #bound #parallel
A highly scalable parallel boundary element method for capacitance extraction (YCH, LD), pp. 552–557.
DACDAC-2011-MukherjeeFBL #automation #linear
Automatic stability checking for large linear analog integrated circuits (PM, GPF, RB, PL), pp. 304–309.
DACDAC-2011-Saha #architecture #composition #named #reuse
CIRUS: a scalable modular architecture for reusable drivers (BS), pp. 260–261.
DACDAC-2011-ShinKCP
Dynamic voltage scaling of OLED displays (DS, YK, NC, MP), pp. 53–58.
DATEDATE-2011-BarceloGBS #estimation #performance
An efficient and scalable STA tool with direct path estimation and exhaustive sensitization vector exploration for optimal delay computation (SB, XG, SAB, JS), pp. 1602–1607.
DATEDATE-2011-BehrendLHRKR #embedded #hybrid #verification
Scalable hybrid verification for embedded software (JB, DL, PH, JR, TK, WR), pp. 179–184.
DATEDATE-2011-GobbatoCG #megamodelling #parallel
A parallel Hamiltonian eigensolver for passivity characterization and enforcement of large interconnect macromodels (LG, AC, SGT), pp. 26–31.
DATEDATE-2011-KangD #classification #gpu #metaprogramming
Scalable packet classification via GPU metaprogramming (KK, YSD), pp. 871–874.
DATEDATE-2011-StranoGLFGB #architecture #self
Exploiting Network-on-Chip structural redundancy for a cooperative and scalable built-in self-test architecture (AS, CGR, DL, MF, MEG, DB), pp. 661–666.
DATEDATE-2011-WilleKD
Determining the minimal number of lines for large reversible circuits (RW, OK, RD), pp. 1204–1207.
DATEDATE-2011-ZhaoDX #3d #design #energy #fine-grained
An energy-efficient 3D CMP design with fine-grained voltage scaling (JZ, XD, YX), pp. 539–542.
HPCAHPCA-2011-FerdmanLBF #manycore
Cuckoo directory: A scalable directory for many-core systems (MF, PLK, KB, BF), pp. 169–180.
HPCAHPCA-2011-JacobsonBBAE #abstraction #architecture #modelling
Abstraction and microarchitecture scaling in early-stage power modeling (HMJ, AB, PB, EA, RJE), pp. 394–405.
HPDCHPDC-2011-ZhouKB #debugging #detection #locality #named #parallel #source code #using
Vrisha: using scaling properties of parallel programs for bug detection and localization (BZ, MK, SB), pp. 85–96.
PDPPDP-2011-AliKGP #approach #communication #fault tolerance #modelling #programming
A Redundant Communication Approach to Scalable Fault Tolerance in PGAS Programming Models (NA, SK, NG, BJP), pp. 24–31.
PDPPDP-2011-Kraxberger #network
Scalable Secure Routing for Heterogeneous Unstructured P2P Networks (SK), pp. 619–626.
PDPPDP-2011-LukawskiS #data type #distributed #maintenance
Balancing Workloads of Servers Maintaining Scalable Distributed Data Structures (GL, KS), pp. 80–84.
PDPPDP-2011-StotzkaHJSWHGKB
Perspective of the Large Scale Data Facility (LSDF) Supporting Nuclear Fusion Applications (RS, VH, TJ, MS, JvW, MH, AG, RK, SB), pp. 373–379.
PPoPPPPoPP-2011-FengGH #commit #named #parallel
SpiceC: scalable parallelism via implicit copying and explicit commit (MF, RG, YH), pp. 69–80.
PPoPPPPoPP-2011-FernandesC #memory management #multi #transaction
Lock-free and scalable multi-version software transactional memory (SMF, JPC), pp. 179–188.
PPoPPPPoPP-2011-MurarasuWBBP #algorithm #data type #grid
Compact data structure and scalable algorithms for the sparse grid technique (AFM, JW, GB, DB, DP), pp. 25–34.
PPoPPPPoPP-2011-WangLCWCZZ #named #parallel
COREMU: a scalable and portable parallel full-system emulator (ZW, RL, YC, XW, HC, WZ, BZ), pp. 213–222.
SOSPSOSP-2011-GlendenningBKA #consistency
Scalable consistency in Scatter (LG, IB, AK, TEA), pp. 15–28.
SOSPSOSP-2011-LloydFKA #consistency
Don’t settle for eventual: scalable causal consistency for wide-area storage with COPS (WL, MJF, MK, DGA), pp. 401–416.
CADECADE-2011-HoderV #reasoning
Sine Qua Non for Large Theory Reasoning (KH, AV), pp. 299–314.
CAVCAV-2011-FrehseGDCRLRGDM #hybrid #named #verification
SpaceEx: Scalable Verification of Hybrid Systems (GF, CLG, AD, SC, RR, OL, RR, AG, TD, OM), pp. 379–395.
ISSTAISSTA-2011-McGillDS #analysis #concept #modelling
Scalable analysis of conceptual data models (MJM, LKD, REKS), pp. 56–66.
HTHT-2010-CorletteS #network #online #predict #social
Link prediction applied to an open large-scale online social network (DC, FMSI), pp. 135–140.
SIGMODSIGMOD-2010-ArumugamDJPP
The DataPath system: a data-centric analytic processing engine for large data warehouses (SA, AD, CMJ, NP, LLP), pp. 519–530.
SIGMODSIGMOD-2010-BiemBFRRVKM #realtime
IBM infosphere streams for scalable, real-time, intelligent transportation services (AB, EB, HF, AR, AR, OV, HNK, CM), pp. 1093–1104.
SIGMODSIGMOD-2010-Brown #analysis #array #overview
Overview of sciDB: large scale array storage, processing and analysis (PGB), pp. 963–968.
SIGMODSIGMOD-2010-ChenWHY #graph #in the cloud
Large graph processing in the cloud (RC, XW, BH, MY), pp. 1123–1126.
SIGMODSIGMOD-2010-KhanYW #graph #mining #proximity #towards
Towards proximity pattern mining in large graphs (AK, XY, KLW), pp. 867–878.
SIGMODSIGMOD-2010-MalewiczABDHLC #graph #named
Pregel: a system for large-scale graph processing (GM, MHA, AJCB, JCD, IH, NL, GC), pp. 135–146.
SIGMODSIGMOD-2010-MoonCZ #architecture #evolution #optimisation #query #transaction
Scalable architecture and query optimization fortransaction-time DBs with evolving schemas (HJM, CC, CZ), pp. 207–218.
VLDBVLDB-2010-BaidRLDN #keyword #relational #towards
Toward Scalable Keyword Search over Relational Data (AB, IR, JL, AD, JFN), pp. 140–149.
VLDBVLDB-2010-BuHBE #clustering #named #performance
HaLoop: Efficient Iterative Data Processing on Large Clusters (YB, BH, MB, MDE), pp. 285–296.
VLDBVLDB-2010-ChengLYLLX #database #effectiveness
Explore or Exploit? Effective Strategies for Disambiguating Large Databases (RC, EL, XSY, MHL, XL, XX), pp. 815–825.
VLDBVLDB-2010-JohnsonPSAA #approach #named
Aether: A Scalable Approach to Logging (RJ, IP, RS, MA, AA), pp. 681–692.
VLDBVLDB-2010-KandhanTP #multi #named #pattern matching #performance
SigMatch: Fast and Scalable Multi-Pattern Matching (RK, NT, JMP), pp. 1173–1184.
VLDBVLDB-2010-MacropolS #clustering #graph
Scalable Discovery of Best Clusters on Large Graphs (KM, AKS), pp. 693–702.
VLDBVLDB-2010-MarnetteMP #dependence #functional
Scalable Data Exchange with Functional Dependencies (BM, GM, PP), pp. 105–116.
VLDBVLDB-2010-Matsudaira #3d #biology #dataset
High-End Biological Imaging Generates Very Large 3D+ and Dynamic Datasets (PM), p. 3.
VLDBVLDB-2010-ParameswaranGR #concept #dataset #towards #web
Towards The Web of Concepts: Extracting Concepts from Large Datasets (AGP, HGM, AR), pp. 566–577.
VLDBVLDB-2010-PestiLBIW #mobile #named #network #query
RoadTrack: Scaling Location Updates for Mobile Clients on Road Networks with Query Awareness (PP, LL, BB, AI, MW), pp. 1493–1504.
VLDBVLDB-2010-WickMM #database #graph #probability
Scalable Probabilistic Databases with Factor Graphs and MCMC (MLW, AM, GM), pp. 794–804.
VLDBVLDB-2010-YildirimCZ #graph #named #reachability
GRAIL: Scalable Reachability Index for Large Graphs (HY, VC, MJZ), pp. 276–284.
VLDBVLDB-2010-ZhangYJ #approximate #graph #named
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs (SZ, JY, WJ), pp. 1185–1194.
VLDBVLDB-2010-ZhaoH #graph #network #on the #optimisation #query
On Graph Query Optimization in Large Networks (PZ, JH), pp. 340–351.
ITiCSEITiCSE-2010-BasawapatnaKR #design #education #game studies #using
Using scalable game design to teach computer science from middle school to graduate school (ARB, KHK, AR), pp. 224–228.
CSMRCSMR-2010-MalikJAHFH #analysis #automation #comparison #enterprise #performance #testing
Automatic Comparison of Load Tests to Support the Performance Analysis of Large Enterprise Systems (HM, ZMJ, BA, AEH, PF, GH), pp. 222–231.
CSMRCSMR-2010-MyersSS #debugging
Utilizing Debug Information to Compact Loops in Large Program Traces (DM, MADS, MS), pp. 41–50.
ICPCICPC-2010-BarbourYZ #clone detection #detection
A Technique for Just-in-Time Clone Detection in Large Scale Systems (LB, HY, YZ), pp. 76–79.
ICSMEICSM-2010-CollardMR #adaptation #approach #lightweight
A lightweight transformational approach to support large scale adaptive changes (MLC, JIM, BPR), pp. 1–10.
ICSMEICSM-2010-HummelJHC #clone detection #detection #distributed #incremental
Index-based code clone detection: incremental, distributed, scalable (BH, EJ, LH, MC), pp. 1–9.
ICSMEICSM-2010-KeivanlooRSR #code search #framework #named #semantics #source code
SE-CodeSearch: A scalable Semantic Web-based source code search infrastructure (IK, LR, PS, JR), pp. 1–5.
WCREWCRE-2010-SurianLL #collaboration #developer #mining #network
Mining Collaboration Patterns from a Large Developer Network (DS, DL, EPL), pp. 269–273.
CIAACIAA-2010-AllauzenCM #automaton #kernel
Large-Scale Training of SVMs with Automata Kernels (CA, CC, MM), pp. 17–27.
CIAACIAA-2010-ReidenbachS #polynomial #regular expression
A Polynomial Time Match Test for Large Classes of Extended Regular Expressions (DR, MLS), pp. 241–250.
ICALPICALP-v1-2010-BansalKN #algorithm #scheduling
Better Scalable Algorithms for Broadcast Scheduling (NB, RK, VN), pp. 324–335.
SEFMSEFM-2010-MassinkLBH #algebra #analysis #approach #process
A Scalable Fluid Flow Process Algebraic Approach to Emergency Egress Analysis (MM, DL, AB, MDH), pp. 169–180.
SEFMSEFM-2010-Powell #analysis #behaviour #modelling
Behavior Engineering — A Scalable Modeling and Analysis Method (DP), pp. 31–40.
HaskellHaskell-2010-OSullivanT #haskell
Scalable i/o event handling for GHC (BO, JT), pp. 103–108.
CoGVS-Games-2010-PanzoliPDSPPSF #experience #interactive
Levels of Interaction: A User-Guided Experience in Large-Scale Virtual Environments (DP, CEP, ID, SS, PP, AP, VS, SdF), pp. 87–90.
CHICHI-2010-AndrewsEN
Space to think: large high-resolution displays for sensemaking (CA, AE, CN), pp. 55–64.
CHICHI-2010-BaileyH #case study #idea #pipes and filters #what
What’s your idea?: a case study of a grassroots innovation pipeline within a large software company (BPB, EH), pp. 2065–2074.
CHICHI-2010-BiBB #visual notation
Effects of interior bezels of tiled-monitor large displays on visual search, tunnel steering, and target selection (XB, SHB, RB), pp. 65–74.
CHICHI-2010-FaridaniBRG #online
Opinion space: a scalable tool for browsing online comments (SF, EB, KR, KYG), pp. 1175–1184.
CHICHI-2010-FuGN #3d #multi #simulation
Multi-touch techniques for exploring large-scale 3D astrophysical simulations (CWF, WBG, JAN), pp. 2213–2222.
CHICHI-2010-NgaiCNCCLT #framework #smarttech
i*CATch: a scalable plug-n-play wearable computing framework for novices and children (GN, SCFC, VTYN, JCYC, SSSC, WWYL, JTPT), pp. 443–452.
CHICHI-2010-RoddenHF #experience #metric #user interface #web
Measuring the user experience on a large scale: user-centered metrics for web applications (KR, HH, XF), pp. 2395–2398.
CHICHI-2010-SongKLS #comparative #evaluation #visualisation
A comparative evaluation on tree visualization methods for hierarchical structures with large fan-outs (HS, BHK, BL, JS), pp. 223–232.
SOFTVISSOFTVIS-2010-AnslowMNTB #evaluation #using #visualisation
User evaluation of polymetric views using a large visualization wall (CA, SM, JN, EDT, RB), pp. 25–34.
SOFTVISSOFTVIS-2010-PauwH #named #visual notation
Zinsight: a visual and analytic environment for exploring large event traces (WDP, SH), pp. 143–152.
ICEISICEIS-AIDSS-2010-VialeBGP #approach #modelling #process #sequence #using
Modeling Large Scale Manufacturing Process from Timed Data — Using the TOM4L Approach and Sequence Alignment Information for Modeling STMicroelectronics’ Production Processes (PV, NB, MLG, JP), pp. 129–138.
ICEISICEIS-DISI-2010-KasprzakBCO #effectiveness #enterprise #using
Access Rights in Enterprise Full-text Search — Searching Large Intranets Effectively using Virtual Terms (JK, MB, MC, TO), pp. 32–39.
CIKMCIKM-2010-AnagnostopoulosBCGL #community
Power in unity: forming teams in large-scale community systems (AA, LB, CC, AG, SL), pp. 599–608.
CIKMCIKM-2010-BhattCP #network #predict #social
Predicting product adoption in large-scale social networks (RB, VC, RP), pp. 1039–1048.
CIKMCIKM-2010-CaiP #graph #named #query #reachability
Path-hop: efficiently indexing large graphs for reachability queries (JC, CKP), pp. 119–128.
CIKMCIKM-2010-ChaturvediFSM #classification
Estimating accuracy for text classification tasks on large unlabeled data (SC, TAF, LVS, MKM), pp. 889–898.
CIKMCIKM-2010-ChenJPL #algorithm #database #mining #performance
An efficient algorithm for mining time interval-based patterns in large database (YCC, JCJ, WCP, SYL), pp. 49–58.
CIKMCIKM-2010-CormodeKW #algorithm #dataset #set
Set cover algorithms for very large datasets (GC, HJK, AW), pp. 479–488.
CIKMCIKM-2010-DeyJ #approach #database #graph #query #reachability
A hierarchical approach to reachability query answering in very large graph databases (SKD, HMJ), pp. 1377–1380.
CIKMCIKM-2010-GubichevBSW #estimation #graph #performance
Fast and accurate estimation of shortest paths in large graphs (AG, SJB, SS, GW), pp. 499–508.
CIKMCIKM-2010-Nitta #classification #documentation #taxonomy #web
Improving taxonomies for large-scale hierarchical classifiers of web documents (KN), pp. 1649–1652.
CIKMCIKM-2010-PavlovGB #hybrid #named
BagBoo: a scalable hybrid bagging-the-boosting model (DYP, AG, CAB), pp. 1897–1900.
CIKMCIKM-2010-WongWWC #database
Pattern discovery for large mixed-mode database (AKCW, BW, GPKW, KCCC), pp. 859–868.
ICMLICML-2010-HariharanZVV #classification #multi
Large Scale Max-Margin Multi-Label Classification with Priors (BH, LZM, SVNV, MV), pp. 423–430.
ICMLICML-2010-KimSD #algorithm
A scalable trust-region algorithm with application to mixed-norm regression (DK, SS, ISD), pp. 519–526.
ICMLICML-2010-LiKL #approximate
Making Large-Scale Nyström Approximation Possible (ML, JTK, BLL), pp. 631–638.
ICMLICML-2010-LiuHC #graph #learning
Large Graph Construction for Scalable Semi-Supervised Learning (WL, JH, SFC), pp. 679–686.
ICMLICML-2010-NegahbanW #estimation #matrix #rank
Estimation of (near) low-rank matrices with noise and high-dimensional scaling (SN, MJW), pp. 823–830.
ICMLICML-2010-Seeger
Gaussian Covariance and Scalable Variational Inference (MWS), pp. 967–974.
ICMLICML-2010-SlivkinsRG #documentation #learning #ranking
Learning optimally diverse rankings over large document collections (AS, FR, SG), pp. 983–990.
ICMLICML-2010-XuHFPJ #detection #mining #problem
Detecting Large-Scale System Problems by Mining Console Logs (WX, LH, AF, DAP, MIJ), pp. 37–46.
ICPRICPR-2010-BhavsarR #image
Inpainting Large Missing Regions in Range Images (AVB, ANR), pp. 3464–3467.
ICPRICPR-2010-CevikalpY #classification
Large Margin Classifier Based on Affine Hulls (HC, HSY), pp. 21–24.
ICPRICPR-2010-ChenS #classification #nearest neighbour
Hierarchical Large Margin Nearest Neighbor Classification (QC, SS), pp. 906–909.
ICPRICPR-2010-GlumovM #algorithm #image #robust
The New Blockwise Algorithm for Large-Scale Images Robust Watermarking (NIG, VAM), pp. 1453–1456.
ICPRICPR-2010-GuoMR #database #performance #recognition #using
Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits (GG, GM, KR), pp. 3392–3395.
ICPRICPR-2010-LeeJJ #image #ranking #retrieval
Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (JEL, RJ, AKJ), pp. 3902–3906.
ICPRICPR-2010-LourencoFJ #clustering #on the
On the Scalability of Evidence Accumulation Clustering (AL, ALNF, AKJ), pp. 782–785.
ICPRICPR-2010-MoraledaH #image #towards
Toward Massive Scalability in Image Matching (JM, JJH), pp. 3424–3427.
ICPRICPR-2010-PoullotS #detection #image #video
Detecting Screen Shot Images within Large-Scale Video Archive (SP, SS), pp. 3203–3207.
ICPRICPR-2010-SaboorianJR #adaptation #clustering #database #image
User Adaptive Clustering for Large Image Databases (MMS, MJ, HRR), pp. 4271–4274.
ICPRICPR-2010-SeverskyY #3d #detection #set
Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets (LMS, LY), pp. 3557–3560.
ICPRICPR-2010-ShibataKI #classification #nearest neighbour #performance
Large Margin Discriminant Hashing for Fast k-Nearest Neighbor Classification (TS, SK, SI), pp. 1015–1018.
ICPRICPR-2010-Thurau #classification
Nearest Archetype Hull Methods for Large-Scale Data Classification (CT), pp. 4040–4043.
ICPRICPR-2010-TsaiHTC #detection #pipes and filters #predict #using
Learning-Based Vehicle Detection Using Up-Scaling Schemes and Predictive Frame Pipeline Structures (YMT, KYH, CCT, LGC), pp. 3101–3104.
ICPRICPR-2010-VeillardLR #image
An Exploration Scheme for Large Images: Application to Breast Cancer Grading (AV, NL, DR), pp. 3472–3475.
KDDKDD-2010-AgarwalAKK #modelling #multi
Estimating rates of rare events with multiple hierarchies through scalable log-linear models (DA, RA, RK, NK), pp. 213–222.
KDDKDD-2010-AgarwalPV #multi
Universal multi-dimensional scaling (AA, JMP, SV), pp. 1149–1158.
KDDKDD-2010-BennetGLSV #benchmark #metric #named #towards
Malstone: towards a benchmark for analytics on large data clouds (CB, RLG, DL, JS, SV), pp. 145–152.
KDDKDD-2010-ChanGGHL #modelling #online #pipes and filters
Evaluating online ad campaigns in a pipeline: causal models at scale (DC, RG, OG, TH, DL), pp. 7–16.
KDDKDD-2010-ChenWW #network #social
Scalable influence maximization for prevalent viral marketing in large-scale social networks (WC, CW, YW), pp. 1029–1038.
KDDKDD-2010-Feldman #data mining #lessons learnt #mining #quantifier
The quantification of advertising: (+ lessons from building businesses based on large scale data mining) (KF), pp. 5–6.
KDDKDD-2010-HeFLC #graph #parallel
Parallel SimRank computation on large graphs with iterative aggregation (GH, HF, CL, HC), pp. 543–552.
KDDKDD-2010-HeLC #kernel #similarity
Scalable similarity search with optimized kernel hashing (JH, WL, SFC), pp. 1129–1138.
KDDKDD-2010-SunCY #approach #reduction
A scalable two-stage approach for a class of dimensionality reduction techniques (LS, BC, JY), pp. 313–322.
KDDKDD-2010-YuHCL #classification #in memory #linear #memory management
Large linear classification when data cannot fit in memory (HFY, CJH, KWC, CJL), pp. 833–842.
KDIRKDIR-2010-DesaiSP #named #performance #robust
SEAR — Scalable, Efficient, Accurate, Robust kNN-based Regression (AD, HS, VP), pp. 392–395.
KDIRKDIR-2010-Ghosh #locality #mining #modelling #multi #predict #using
Actionable Mining of Large, Multi-relational Data using Localized Predictive Models (JG), pp. 9–10.
KDIRKDIR-2010-ThanhYU #clustering #documentation #set #similarity
Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model (NCT, KY, MU), pp. 396–399.
KEODKEOD-2010-NamgoongKK #in the cloud #rdf
Mitigation of Large-scale RDF Data Loading with the Employment of a Cloud Computing Service (HN, HK, HGK), pp. 489–492.
KRKR-2010-GebserGISSTV #biology #consistency #network #nondeterminism #predict #programming #set
Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming (MG, CG, MI, TS, AS, ST, PV).
SIGIRSIGIR-2010-FengWZM #image #mining #video
Mining adjacent markets from a large-scale ads video collection for image advertising (GF, XJW, LZ, WYM), pp. 893–894.
SIGIRSIGIR-2010-KeM #effectiveness #information retrieval #network #performance
Scalability of findability: effective and efficient IR operations in large information networks (WK, JM), pp. 74–81.
SIGIRSIGIR-2010-Sankar #documentation #image #retrieval
Reverse annotation based retrieval from large document image collections (KPS), p. 921.
ECMFAECMFA-2010-Corcoran #case study #development #experience #modelling
The Good, the Bad and the Ugly: Experiences with Model Driven Development in Large Scale Projects at Ericsson (DC), p. 2.
MODELSMoDELS-v1-2010-CostaSGL #industrial #modelling
Improving Test Models for Large Scale Industrial Systems: An Inquisitive Study (ADdC, VTdS, AG, CJPdL), pp. 301–315.
MODELSMoDELS-v2-2010-KulkarniRR #experience #lessons learnt #modelling
Scaling Up Model Driven Engineering — Experience and Lessons Learnt (VK, SR, AR), pp. 331–345.
SPLCSPLC-2010-BergerSLCW #product line
Feature-to-Code Mapping in Two Large Product Lines (TB, SS, RL, KC, AW), pp. 498–499.
OOPSLAOOPSLA-2010-GabelYYGS #consistency #detection #nondeterminism #source code
Scalable and systematic detection of buggy inconsistencies in source code (MG, JY, YY, MG, ZS), pp. 175–190.
LOPSTRLOPSTR-2010-InsaS #algorithm #debugging #execution
Scaling Up Algorithmic Debugging with Virtual Execution Trees (DI, JS), pp. 149–163.
SASSAS-2010-DilligDA #constraints #online #source code #static analysis
Small Formulas for Large Programs: On-Line Constraint Simplification in Scalable Static Analysis (ID, TD, AA), pp. 236–252.
REFSQREFSQ-2010-LeuserO #automation #specification
Tackling Semi-automatic Trace Recovery for Large Specifications (JL, DO), pp. 203–217.
REFSQREFSQ-2010-SabaliauskaiteLEURRGF #challenge #industrial #requirements #verification
Challenges in Aligning Requirements Engineering and Verification in a Large-Scale Industrial Context (GS, AL, EE, MU, BR, PR, TG, RF), pp. 128–142.
ASEASE-2010-ShangAH #case study #experience #mining #pipes and filters #repository #tool support #using
An experience report on scaling tools for mining software repositories using MapReduce (WS, BA, AEH), pp. 275–284.
ASEASE-2010-VierhauserGERH #consistency #flexibility #modelling #product line #variability
Flexible and scalable consistency checking on product line variability models (MV, PG, AE, RR, WH), pp. 63–72.
FSEFSE-2010-LiG #gpu #kernel #smt #verification
Scalable SMT-based verification of GPU kernel functions (GL, GG), pp. 187–196.
ICSEICSE-2010-GorschekTA #concept #empirical #object-oriented #using
A large-scale empirical study of practitioners’ use of object-oriented concepts (TG, EDT, LA), pp. 115–124.
ICSEICSE-2010-LimQF #named #network #social #using
StakeNet: using social networks to analyse the stakeholders of large-scale software projects (SLL, DQ, AF), pp. 295–304.
SACSAC-2010-AyyappanWN #algorithm #constraints #learning #named #network
MICHO: a scalable constraint-based algorithm for learning Bayesian networks (MA, YKW, WKN), pp. 985–989.
SACSAC-2010-BaralisCC #dataset #mining #persistent
A persistent HY-Tree to efficiently support itemset mining on large datasets (EB, TC, SC), pp. 1060–1064.
SACSAC-2010-BaudeFHCMMRKSHL
ESB federation for large-scale SOA (FB, IF, FH, VLC, ENM, PM, CR, RK, EPBS, CH, JPL), pp. 2459–2466.
SACSAC-2010-BucchiaroneGFT #experience #natural language #requirements #set #using
An experience in using a tool for evaluating a large set of natural language requirements (AB, SG, AF, GT), pp. 281–286.
SACSAC-2010-DaroncoRL #assessment #quality #video
Subjective video quality assessment applied to scalable video coding and transmission instability (LCD, VR, JVdL), pp. 1898–1904.
SACSAC-2010-DolevGK #multi #trust
Computing multi-party trust privately: in O(n) time units sending one (possibly large) message at a time (SD, NG, MK), pp. 1460–1465.
SACSAC-2010-GroppeG #database #semantics #sorting #web
External sorting for index construction of large semantic web databases (SG, JG), pp. 1373–1380.
SACSAC-2010-HoqueRA #named #protocol #using
S-search: finding RFID tags using scalable and secure search protocol (MEH, FR, SIA), pp. 439–443.
SACSAC-2010-JiCW #simulation
A simulation of large-scale groundwater flow on CUDA-enabled GPUs (XJ, TC, QW), pp. 2402–2403.
SACSAC-2010-LecerfC #documentation #layout #ranking #retrieval
Scalable indexing for layout based document retrieval and ranking (LL, BC), pp. 28–32.
SACSAC-2010-MalkowskiJHPKP #analysis #benchmark #database #empirical #metric #using
Empirical analysis of database server scalability using an N-tier benchmark with read-intensive workload (SM, DJ, MH, JP, YK, CP), pp. 1680–1687.
SACSAC-2010-MassinkHL #analysis #behaviour
Scalable analysis of collective behaviour in smart service systems (MM, MDH, DL), pp. 1173–1180.
SACSAC-2010-Niu #energy #realtime
Energy-aware dual-mode voltage scaling for weakly hard real-time systems (LN), pp. 321–325.
SACSAC-2010-YasarMPLCB #information management #interactive #network #people #social
Where people and cars meet: social interactions to improve information sharing in large scale vehicular networks (AUHY, NM, DP, KL, KC, YB), pp. 1188–1194.
SACSAC-2010-ZengXCB #parametricity
Introducing global scaling parameters into Ncut (YZ, HX, XC, SB), pp. 1105–1106.
GPCEGPCE-J-2007-JungH10 #architecture #component #framework #specification
A type-centric framework for specifying heterogeneous, large-scale, component-oriented, architectures (GJ, JH), pp. 615–637.
CGOCGO-2010-PriceV #analysis
Large program trace analysis and compression with ZDDs (GDP, MV), pp. 32–41.
CGOCGO-2010-YuXHFZ #analysis #pointer
Level by level: making flow- and context-sensitive pointer analysis scalable for millions of lines of code (HY, JX, WH, XF, ZZ), pp. 218–229.
CGOCGO-2010-ZhaoBA #memory management #named #performance
Umbra: efficient and scalable memory shadowing (QZ, DB, SPA), pp. 22–31.
DACDAC-2010-ChippaMRRC #algorithm #design #energy #hardware #performance
Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency (VKC, DM, AR, KR, STC), pp. 555–560.
DACDAC-2010-GlassLHT #analysis #reliability #towards
Towards scalable system-level reliability analysis (MG, ML, CH, JT), pp. 234–239.
DACDAC-2010-LiFS #mining #specification #verification
Scalable specification mining for verification and diagnosis (WL, AF, SAS), pp. 755–760.
DACDAC-2010-LiuYT #algorithm #analysis #performance #robust
A robust periodic arnoldi shooting algorithm for efficient analysis of large-scale RF/MM ICs (XL, HY, SXDT), pp. 573–578.
DACDAC-2010-WangM #approximate #named #realtime #using
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme (WW, PM), pp. 705–710.
DACDAC-2010-ZhangCTL #modelling #multi #performance #towards
Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression (WZ, THC, MYT, XL), pp. 897–902.
DATEDATE-2010-BaoAEP #energy #optimisation
Temperature-aware idle time distribution for energy optimization with dynamic voltage scaling (MB, AA, PE, ZP), pp. 21–26.
DATEDATE-2010-ChenS #implementation #manycore #named #parallel
pSHS: A scalable parallel software implementation of Montgomery multiplication for multicore systems (ZC, PS), pp. 843–848.
DATEDATE-2010-ChouYCDK #case study #design #nondeterminism
Finding reset nondeterminism in RTL designs — scalable X-analysis methodology and case study (HZC, HY, KHC, DD, SYK), pp. 1494–1499.
DATEDATE-2010-KarmarkarT #generative
Scalable codeword generation for coupled buses (KK, ST), pp. 729–734.
DATEDATE-2010-KatebiM
Large-scale Boolean matching (HK, ILM), pp. 771–776.
DATEDATE-2010-MehdipourHKIKMAF #quantum
Mapping scientific applications on a large-scale data-path accelerator implemented by single-flux quantum (SFQ) circuits (FM, HH, HK, KI, IK, KM, HA, AF), pp. 993–996.
DATEDATE-2010-NarayananSKJ #probability
Scalable stochastic processors (SN, JS, RK, DLJ), pp. 335–338.
HPCAHPCA-2010-ChampagneL #architecture
Scalable architectural support for trusted software (DC, RBL), pp. 1–12.
HPCAHPCA-2010-KaseridisSCJ #resource management #using
A bandwidth-aware memory-subsystem resource management using non-invasive resource profilers for large CMP systems (DK, JS, JC, LKJ), pp. 1–11.
HPCAHPCA-2010-KimHMH #algorithm #memory management #multi #named #scheduling
ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers (YK, DH, OM, MHB), pp. 1–12.
HPCAHPCA-2010-UdipiMB #energy #network #towards
Towards scalable, energy-efficient, bus-based on-chip networks (ANU, NM, RB), pp. 1–12.
HPDCHPDC-2010-BaeCQF #reduction #visualisation
Dimension reduction and visualization of large high-dimensional data via interpolation (SHB, JYC, JQ, GF), pp. 203–214.
HPDCHPDC-2010-BuiBFT #data-driven #named #repository
ROARS: a scalable repository for data intensive scientific computing (HB, PB, PJF, DT), pp. 766–775.
HPDCHPDC-2010-BuiWHWFT #empirical #quality #towards
Towards long term data quality in a large scale biometrics experiment (HB, DW, CH, RW, PJF, DT), pp. 565–572.
HPDCHPDC-2010-ChoiBQFCW #reduction
Browsing large scale cheminformatics data with dimension reduction (JYC, SHB, JQ, GF, BC, DJW), pp. 503–506.
HPDCHPDC-2010-DonassoloCLV #performance #simulation #using #volunteer
Fast and scalable simulation of volunteer computing systems using SimGrid (BD, HC, AL, PV), pp. 605–612.
HPDCHPDC-2010-DuGR #component #multitenancy
Highly available component sharing in large-scale multi-tenant cloud systems (JD, XG, DSR), pp. 85–94.
HPDCHPDC-2010-DunlavySS #analysis #modelling #named
ParaText: scalable text modeling and analysis (DMD, TMS, ETS), pp. 344–347.
HPDCHPDC-2010-FuRLFG #clustering #data-driven #named
DiscFinder: a data-intensive scalable cluster finder for astrophysics (BF, KR, JL, EF, GAG), pp. 348–351.
HPDCHPDC-2010-HoeflerSL #named #simulation
LogGOPSim: simulating large-scale applications in the LogGOPS model (TH, TS, AL), pp. 597–604.
HPDCHPDC-2010-JardakROM #network #parallel
Parallel processing of data from very large-scale wireless sensor networks (CJ, JR, FO, PM), pp. 787–794.
HPDCHPDC-2010-KamalMW
Scalability of communicators and groups in MPI (HK, SMM, AW), pp. 264–275.
HPDCHPDC-2010-KimHMAJ #distributed #energy #using
Exploring the RNA folding energy landscape using scalable distributed cyberinfrastructure (JK, WH, SM, FAE, SJ), pp. 477–488.
HPDCHPDC-2010-LiuTKF #data transfer #framework
A data transfer framework for large-scale science experiments (WL, BT, RK, ITF), pp. 717–724.
HPDCHPDC-2010-ReinefeldSM #database #heuristic
Very large pattern databases for heuristic search (AR, TS, RM), pp. 803–809.
HPDCHPDC-2010-StoutFMG #clustering #network #using
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system (LS, MF, MAM, SG), pp. 692–698.
HPDCHPDC-2010-ThakarS #database #migration
Migrating a (large) science database to the cloud (AT, ASS), pp. 430–434.
OSDIOSDI-2010-Boyd-WickizerCMPKMZ #analysis #linux
An Analysis of Linux Scalability to Many Cores (SBW, ATC, YM, AP, MFK, RM, NZ), pp. 1–16.
OSDIOSDI-2010-HaridasanMTTZ #framework #generative
StarTrack Next Generation: A Scalable Infrastructure for Track-Based Applications (MH, IM, DT, CAT, LZ), pp. 409–422.
OSDIOSDI-2010-KoponenCGSPZRIIHS #distributed #framework #named #network #platform
Onix: A Distributed Control Platform for Large-scale Production Networks (TK, MC, NG, JS, LP, MZ, RR, YI, HI, TH, SS), pp. 351–364.
OSDIOSDI-2010-PengD #distributed #incremental #transaction #using
Large-scale Incremental Processing Using Distributed Transactions and Notifications (DP, FD), pp. 251–264.
PDPPDP-2010-AllaniLGR #algorithm #multi #named #reliability
RASM: A Reliable Algorithm for Scalable Multicast (MA, JL, BG, LETR), pp. 137–144.
PDPPDP-2010-BeaumontERT #multi #platform
Allocation of Clients to Multiple Servers on Large Scale Heterogeneous Platforms (OB, LED, HR, CT), pp. 3–10.
PDPPDP-2010-ChaparroAMCCM #distributed #video
Supporting Scalable Video Transmission in MANETs through Distributed Admission Control Mechanisms (PAC, JA, JMM, CMTC, JCC, PM), pp. 238–245.
PDPPDP-2010-FerrerBRLD
A Scalable and Early Congestion Management Mechanism for MINs (JLF, EB, AR, PL, JD), pp. 43–50.
PDPPDP-2010-GennaroR #distributed #similarity
Scalability Issues for Self Similarity Join in Distributed Systems (CG, FR), pp. 309–316.
PDPPDP-2010-KoohiH
Hierarchical on-Chip Routing of Optical Packets in Large Scale MPSoCs (SK, SH), pp. 515–524.
PDPPDP-2010-SkopikSD #enterprise #interactive #network
Trusted Interaction Patterns in Large-scale Enterprise Service Networks (FS, DS, SD), pp. 367–374.
PDPPDP-2010-StriglKP #network #performance
Performance and Scalability of GPU-Based Convolutional Neural Networks (DS, KK, SP), pp. 317–324.
PDPPDP-2010-UcarC #clustering #matrix #modelling #on the
On the Scalability of Hypergraph Models for Sparse Matrix Partitioning (BU, ÜVÇ), pp. 593–600.
PDPPDP-2010-VilardellGR #hybrid
A Scalable Hybrid P2P System for MMOFPS (IBV, FG, CR), pp. 341–347.
PPoPPPPoPP-2010-CastaldoW #parallel #using
Scaling LAPACK panel operations using parallel cache assignment (AMC, RCW), pp. 223–232.
PPoPPPPoPP-2010-GuoZCS #adaptation #manycore #named
SLAW: a scalable locality-aware adaptive work-stealing scheduler for multi-core systems (YG, YZ, VC, VS), pp. 341–342.
PPoPPPPoPP-2010-HoeflerSL #communication #protocol
Scalable communication protocols for dynamic sparse data exchange (TH, CS, AL), pp. 159–168.
PPoPPPPoPP-2010-LupeiSPMBKA #game studies #memory management #parallel #towards #transaction #using
Towards scalable and transparent parallelization of multiplayer games using transactional memory support (DL, BS, DP, MM, MB, WK, CA), pp. 325–326.
PPoPPPPoPP-2010-ZhaiCZ #named #parallel #performance #predict #using
PHANTOM: predicting performance of parallel applications on large-scale parallel machines using a single node (JZ, WC, WZ), pp. 305–314.
STOCSTOC-2010-BayatiGT #approach #combinator #graph #random
Combinatorial approach to the interpolation method and scaling limits in sparse random graphs (MB, DG, PT), pp. 105–114.
STOCSTOC-2010-OnakR #maintenance
Maintaining a large matching and a small vertex cover (KO, RR), pp. 457–464.
ICSTICST-2010-EldhBSHP #automation #towards
Towards Fully Automated Test Management for Large Complex Systems (SE, JB, MS, HH, SP), pp. 412–420.
ICSTICST-2010-PerrouinSKBT #automation #generative #product line #testing
Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines (GP, SS, JK, BB, YLT), pp. 459–468.
ICTSSICTSS-2010-AlmeidaMSTV #architecture #distributed #performance
Efficient Distributed Test Architectures for Large-Scale Systems (ECdA, JEM, GS, YLT, PV), pp. 174–187.
ICTSSICTSS-2010-PielGG #component #data flow #integration #testing
Built-In Data-Flow Integration Testing in Large-Scale Component-Based Systems (ÉP, AGS, HGG), pp. 79–94.
ISSTAISSTA-2010-SantelicesH #dependence #execution #multi #symbolic computation
Exploiting program dependencies for scalable multiple-path symbolic execution (RAS, MJH), pp. 195–206.
WICSA-ECSAWICSA-ECSA-2009-AriasAA #execution
Defining execution viewpoints for a large and complex software-intensive system (TBCA, PA, PA), pp. 1–10.
TPDLECDL-2009-DussinF #evaluation #process
Managing the Knowledge Creation Process of Large-Scale Evaluation Campaigns (MD, NF), pp. 63–74.
HTHT-2009-MarkinesM #collaboration #similarity #social
A scalable, collaborative similarity measure for social annotation systems (BM, FM), pp. 347–348.
HTHT-2009-Najork
The scalable hyperlink store (MN), pp. 89–98.
ICDARICDAR-2009-BulacuBZS #recognition
Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection (MB, AB, TvdZ, LS), pp. 808–812.
ICDARICDAR-2009-LecerfC #documentation #feature model
Scalable Feature Extraction from Noisy Documents (LL, BC), pp. 361–365.
ICDARICDAR-2009-NavonBO #approach
A Generic Form Processing Approach for Large Variant Templates (YN, EB, BO), pp. 311–315.
ICDARICDAR-2009-XiuB #recognition
Scaling Up Whole-Book Recognition (PX, HSB), pp. 698–702.
ICDARICDAR-2009-ZhangGCL #database #named #recognition
HCL2000 — A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition (HZ, JG, GC, CGL), pp. 286–290.
JCDLJCDL-2009-MikealCMPLM #case study #library #repository
Large-scale ETD repositories: a case study of a digital library application (AM, JC, AM, SP, JJL, MM), pp. 135–144.
SIGMODSIGMOD-2009-BabuGM #learning #nondeterminism
Large-scale uncertainty management systems: learning and exploiting your data (SB, SG, KM), pp. 995–998.
SIGMODSIGMOD-2009-GandhiNSL #multi #named
GAMPS: compressing multi sensor data by grouping and amplitude scaling (SG, SN, SS, JL), pp. 771–784.
SIGMODSIGMOD-2009-NeumannW #graph #rdf
Scalable join processing on very large RDF graphs (TN, GW), pp. 627–640.
SIGMODSIGMOD-2009-PavloPRADMS #comparison #data analysis
A comparison of approaches to large-scale data analysis (AP, EP, AR, DJA, DJD, SM, MS), pp. 165–178.
SIGMODSIGMOD-2009-ZhangMC #clustering #using
Scalable skyline computation using object-based space partitioning (SZ, NM, DWC), pp. 483–494.
VLDBVLDB-2009-BaumgartnerGH #online #web
Scalable Web Data Extraction for Online Market Intelligence (RB, GG, MH), pp. 1512–1523.
VLDBVLDB-2009-CandeaPV #concurrent #predict
A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses (GC, NP, RV), pp. 277–288.
VLDBVLDB-2009-CohenDKLT #composition #set #summary
Composable, Scalable, and Accurate Weight Summarization of Unaggregated Data Sets (EC, NGD, HK, CL, MT), pp. 431–442.
VLDBVLDB-2009-CruzAS #named #ontology #performance
AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies (IFC, FPA, CS), pp. 1586–1589.
VLDBVLDB-2009-JohnsonPA #inheritance #using
Improving OLTP Scalability using Speculative Lock Inheritance (RJ, IP, AA), pp. 479–489.
VLDBVLDB-2009-Karras
Optimality and Scalability in Lattice Histogram Construction (PK), pp. 670–681.
VLDBVLDB-2009-LiuDDLZ #monitoring #named #network #realtime
MOIR/MT: Monitoring Large-Scale Road Network Traffic in Real-Time (KL, KD, ZD, ML, XZ), pp. 1538–1541.
VLDBVLDB-2009-PangZM #database #outsourcing #verification
Scalable Verification for Outsourced Dynamic Databases (HP, JZ, KM), pp. 802–813.
VLDBVLDB-2009-PapapetrouAKG #database #sequence
Reference-Based Alignment in Large Sequence Databases (PP, VA, GK, DG), pp. 205–216.
VLDBVLDB-2009-ZhouSA #delivery #query
Scalable Delivery of Stream Query Results (YZ, AS, KA), pp. 49–60.
VLDBVLDB-2009-ZouCO #database #graph #named #query
DistanceJoin: Pattern Match Query In a Large Graph Database (LZ, LC, MTÖ), pp. 886–897.
CSEETCSEET-2009-AroraG #approach #development #education #enterprise #re-engineering
Software Engineering Approach for Teaching Development of Scalable Enterprise Applications (RA, SG), pp. 105–112.
CSEETCSEET-2009-BarkerI #case study #education #re-engineering
IT SPIRAL: A Case Study in Scalable Software Engineering Education (MB, KI), pp. 53–60.
CSEETCSEET-2009-DemuthW #modelling #re-engineering #web
Web Based Software Modeling Exercises in Large-Scale Software Engineering Courses (BD, DW), pp. 138–141.
CSEETCSEET-2009-MansharamaniBGGKNR #certification #enterprise #performance
DCPE Rollout: Scaling Performance Engineering Training and Certification across a Very Large Enterprise (RKM, AB, KG, KG, AK, MKN, MR), pp. 263–270.
CSEETCSEET-2009-TaranMSS #authoring #case study #framework #industrial #multi #platform #using
Using Rich Multimedia Case Studies: Developing a Scalable Authoring Platform for Academia and Industry (GT, RM, RS, AS), pp. 61–68.
CSEETCSEET-2009-ThompsonE #approach #industrial #student
A Scalable Approach to Graduate Student Projects: Hundreds with Industry Every Year (JBT, HME), pp. 158–161.
CSMRCSMR-2009-Lilienthal #architecture #complexity
Architectural Complexity of Large-Scale Software Systems (CL), pp. 17–26.
CSMRCSMR-2009-MarwedeRHH #automation #behaviour #correlation #distributed
Automatic Failure Diagnosis Support in Distributed Large-Scale Software Systems Based on Timing Behavior Anomaly Correlation (NM, MR, AvH, WH), pp. 47–58.
CSMRCSMR-2009-MendeKL #evolution #fault #modelling #predict
Evaluating Defect Prediction Models for a Large Evolving Software System (TM, RK, ML), pp. 247–250.
CSMRCSMR-2009-Teppe #case study #challenge #experience #industrial #migration
The ARNO Project: Challenges and Experiences in a Large-Scale Industrial Software Migration Project (WT), pp. 149–158.
ICPCICPC-2009-HindleGGH #automation #category theory #maintenance
Automatic classication of large changes into maintenance categories (AH, DMG, MWG, RCH), pp. 30–39.
ICPCICPC-2009-SamiaL #architecture #graph #towards #visualisation
Towards pie tree visualization of graphs and large software architectures (MS, ML), pp. 301–302.
ICSMEICSM-2009-LiGMMMGC #analysis #component #fault #multi #pervasive
Analysis of pervasive multiple-component defects in a large software system (ZL, MG, SSM, NHM, AVM, DG, EC), pp. 265–273.
ICSMEICSM-2009-NguyenNAPN #clone detection #detection #evolution #incremental
Scalable and incremental clone detection for evolving software (TTN, HAN, JMAK, NHP, TNN), pp. 491–494.
MSRMSR-2009-Mockus #source code #towards #version control
Amassing and indexing a large sample of version control systems: Towards the census of public source code history (AM), pp. 11–20.
SCAMSCAM-2009-BinkleyH #clustering #dependence #identification
Identifying “Linchpin Vertices” That Cause Large Dependence Clusters (DB, MH), pp. 89–98.
WCREWCRE-1999-AriasAA99a #resource management
Constructing a Resource Usage View of a Large and Complex Software-Intensive System (TBCA, PA, PA), pp. 247–255.
ICALPICALP-v1-2009-BansalCPK #bound
Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule (NB, HLC, KP, DK), pp. 144–155.
FMFM-2009-LeuschelFFP #automation #modelling #verification
Automated Property Verification for Large Scale B Models (ML, JF, FF, DP), pp. 708–723.
CoGCIG-2009-HagelbackJ #experience #game studies #runtime
Measuring player experience on runtime dynamic difficulty scaling in an RTS game (JH, SJJ), pp. 46–52.
GT-VMTGT-VMT-2009-GieseHS #diagrams #flexibility
Improved Flexibility and Scalability by Interpreting Story Diagrams (HG, SH, AS), pp. 147–158.
CHICHI-2009-BiB
Comparing usage of a large high-resolution display to single or dual desktop displays for daily work (XB, RB), pp. 1005–1014.
CHICHI-2009-MoscovichCHPF #navigation #network
Topology-aware navigation in large networks (TM, FC, NH, EP, JDF), pp. 2319–2328.
HCIHCI-NIMT-2009-ChenN #named
VTouch: A Vision-Base Dual Finger Touched Inputs for Large Displays (CHC, CXN), pp. 426–434.
HCIHCI-NIMT-2009-GeigerRDKB #diagrams #user interface
A Zoomable User Interface for Presenting Hierarchical Diagrams on Large Screens (CG, HR, RD, SK, JB), pp. 791–800.
HCIHCI-VAD-2009-BuxtonTF #evaluation #heuristic #using
Heuristic Evaluation of Mission-Critical Software Using a Large Team (TB, AT, ALF), pp. 673–682.
HCIIDGD-2009-EngleF #metric #multi #using
Rescaling Non-metric Data to Metric Data Using Multi-Dimensional Scaling (KME, GAF), pp. 245–253.
HCIOCSC-2009-LiuLWW #design #mobile #social
Mobile Social Service Design for Large-Scale Exhibition (HL, YL, WW, BW), pp. 72–81.
VISSOFTVISSOFT-2009-TeleaHER #c #c++ #case study #comparative #dependence #visualisation
Extraction and visualization of call dependencies for large C/C++ code bases: A comparative study (ACT, HH, OE, DR), pp. 81–88.
ICEISICEIS-AIDSS-2009-NebotL #ontology
Building Tailored Ontologies from Very Large Knowledge Resources (VN, RBL), pp. 144–151.
ICEISICEIS-HCI-2009-NetoD #case study #gesture #using
A Study on the use of Gestures for Large Displays (AN, CD), pp. 55–60.
ICEISICEIS-ISAS-2009-PereiraSS #approach #concept #process #semantics
A Socio-semantic Approach to the Conceptualisation of Domains, Processes and Tasks in Large Projects (CP, CS, ALS), pp. 237–242.
ICEISICEIS-J-2009-Cuzzocrea #approximate #evaluation #named #probability #query #reduction
s-OLAP: Approximate OLAP Query Evaluation on Very Large Data Warehouses via Dimensionality Reduction and Probabilistic Synopses (AC), pp. 248–262.
ICEISICEIS-J-2009-MuellerTZ #architecture #multi
A Scalable Parametric-RBAC Architecture for the Propagation of a Multi-modality, Multi-resource Informatics System (RM, VAT, GQZ), pp. 114–124.
ICEISICEIS-J-2009-QuimbayaRAV #knowledge base #query
Knowledge Based Query Processing in Large Scale Virtual Organizations (APQ, CR, JA, MDPV), pp. 208–219.
CIKMCIKM-2009-AnWZH #database
Diverging patterns: discovering significant frequency change dissimilarities in large databases (AA, QW, JZ, XH), pp. 1473–1476.
CIKMCIKM-2009-BarskySTU #sequence
Suffix trees for very large genomic sequences (MB, US, AT, CU), pp. 1417–1420.
CIKMCIKM-2009-ChengKN #graph #performance #query
Efficient processing of group-oriented connection queries in a large graph (JC, YK, WN), pp. 1481–1484.
CIKMCIKM-2009-ChoiSCSC #distributed #evaluation #named #parallel #rdf
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data (HC, JS, YC, MKS, YDC), pp. 2087–2088.
CIKMCIKM-2009-FengXYZL #ambiguity #web
Acronym extraction and disambiguation in large-scale organizational web pages (SF, YX, CY, LZ, WL), pp. 1693–1696.
CIKMCIKM-2009-FletcherB #graph #performance #rdf
Scalable indexing of RDF graphs for efficient join processing (GHLF, PWB), pp. 1513–1516.
CIKMCIKM-2009-MassSS #effectiveness #network
A scalable and effective full-text search in P2P networks (YM, YS, MSS), pp. 1979–1982.
CIKMCIKM-2009-Muntes-MuleroN #dataset #privacy
Privacy and anonymization for very large datasets (VMM, JN), pp. 2117–2118.
CIKMCIKM-2009-PotamiasBCG #distance #estimation #network #performance
Fast shortest path distance estimation in large networks (MP, FB, CC, AG), pp. 867–876.
CIKMCIKM-2009-QuanzH #learning
Large margin transductive transfer learning (BQ, JH), pp. 1327–1336.
CIKMCIKM-2009-TangL #behaviour #learning #social
Scalable learning of collective behavior based on sparse social dimensions (LT, HL), pp. 1107–1116.
CIKMCIKM-2009-WangCH #algorithm #clustering #performance #topic #web
An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
CIKMCIKM-2009-YangLJ #monitoring
Scalable continuous range monitoring of moving objects in symbolic indoor space (BY, HL, CSJ), pp. 671–680.
ECIRECIR-2009-KurashimaFO #case study #experience
Discovering Association Rules on Experiences from Large-Scale Blog Entries (TK, KF, HO), pp. 546–553.
ECIRECIR-2009-ParaparFB #modelling #n-gram #retrieval
Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections (JP, AF, AB), pp. 680–684.
ICMLICML-2009-DeodharGGCD #clustering #framework #semistructured data
A scalable framework for discovering coherent co-clusters in noisy data (MD, GG, JG, HC, ISD), pp. 241–248.
ICMLICML-2009-DoA #markov #modelling
Large margin training for hidden Markov models with partially observed states (TMTD, TA), pp. 265–272.
ICMLICML-2009-LeeGRN #learning #network
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (HL, RBG, RR, AYN), pp. 609–616.
ICMLICML-2009-Leskovec #ml #network #social #summary #tutorial
Tutorial summary: Large social and information networks: opportunities for ML (JL), p. 19.
ICMLICML-2009-MaSSV #identification #learning #online
Identifying suspicious URLs: an application of large-scale online learning (JM, LKS, SS, GMV), pp. 681–688.
ICMLICML-2009-NickischS #linear #modelling
Convex variational Bayesian inference for large scale generalized linear models (HN, MWS), pp. 761–768.
ICMLICML-2009-RainaMN #learning #using
Large-scale deep unsupervised learning using graphics processors (RR, AM, AYN), pp. 873–880.
ICMLICML-2009-WeinbergerDLSA #learning #multi
Feature hashing for large scale multitask learning (KQW, AD, JL, AJS, JA), pp. 1113–1120.
ICMLICML-2009-YuLZG #collaboration #parametricity #predict #random #using
Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.
ICMLICML-2009-ZhangKP #learning #prototype
Prototype vector machine for large scale semi-supervised learning (KZ, JTK, BP), pp. 1233–1240.
KDDKDD-2009-ChenPC #behaviour
Large-scale behavioral targeting (YC, DP, JFC), pp. 209–218.
KDDKDD-2009-DaruruMWG #clustering #data flow #data mining #mining #parallel #pervasive
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.
KDDKDD-2009-DuFWA #communication #generative #network
Large human communication networks: patterns and a utility-driven generator (ND, CF, BW, LA), pp. 269–278.
KDDKDD-2009-FrenoTG #estimation #hybrid #pseudo #random
Scalable pseudo-likelihood estimation in hybrid random fields (AF, ET, MG), pp. 319–328.
KDDKDD-2009-LiuCY
Large-scale sparse logistic regression (JL, JC, JY), pp. 547–556.
KDDKDD-2009-MaunzHK #graph #mining #refinement #using
Large-scale graph mining using backbone refinement classes (AM, CH, SK), pp. 617–626.
KDDKDD-2009-PanS #collaboration
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering (RP, MS), pp. 667–676.
KDDKDD-2009-SatuluriP #clustering #community #graph #probability #using
Scalable graph clustering using stochastic flows: applications to community discovery (VS, SP), pp. 737–746.
KDDKDD-2009-TangSWY #analysis #network #social
Social influence analysis in large-scale networks (JT, JS, CW, ZY), pp. 807–816.
KDDKDD-2009-ZhangWWZ #community #detection #network #parallel
Parallel community detection on large networks with propinquity dynamics (YZ, JW, YW, LZ), pp. 997–1006.
KMISKMIS-2009-SaxenaDDW #named #web
Tarantula — A Scalable and Extensible Web Spider (AS, KD, SKD, IW), pp. 167–172.
MLDMMLDM-2009-LiuYZZZL #classification
A Large Margin Classifier with Additional Features (XL, JY, EZ, GZ, YZ, ML), pp. 82–95.
MLDMMLDM-2009-SegataB #dataset #performance
Fast Local Support Vector Machines for Large Datasets (NS, EB), pp. 295–310.
SEKESEKE-2009-ZhangLSDCL #verification
Formal Verification of Scalable NonZero Indicators (SJZ, YL, JS, JSD, WC, YAL), pp. 406–411.
SIGIRSIGIR-2009-BennettN #classification #taxonomy
Refined experts: improving classification in large taxonomies (PNB, NN), pp. 11–18.
SIGIRSIGIR-2009-VriesG #clustering #documentation #named
K-tree: large scale document clustering (CMDV, SG), pp. 718–719.
SIGIRSIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance
Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
MODELSMoDELS-2009-AschauerDP #modelling #representation #traversal
Representation and Traversal of Large Clabject Models (TA, GD, WP), pp. 17–31.
MODELSMoDELS-2009-LeungMLLSTL #ontology #semantics #using
Scalable Semantic Annotation Using Lattice-Based Ontologies (MKL, TM, EAL, EL, CPS, ST, BL), pp. 393–407.
MODELSMoDELS-2009-AschauerDP #modelling #representation #traversal
Representation and Traversal of Large Clabject Models (TA, GD, WP), pp. 17–31.
MODELSMoDELS-2009-LeungMLLSTL #ontology #semantics #using
Scalable Semantic Annotation Using Lattice-Based Ontologies (MKL, TM, EAL, EL, CPS, ST, BL), pp. 393–407.
ECOOPECOOP-2009-MitchellSS
Making Sense of Large Heaps (NM, ES, GS), pp. 77–97.
ECOOPECOOP-2009-XuRS #alias #analysis #points-to #using
Scaling CFL-Reachability-Based Points-To Analysis Using Context-Sensitive Must-Not-Alias Analysis (G(X, AR, MS), pp. 98–122.
LOPSTRLOPSTR-2009-Vidal #declarative #partial evaluation #source code #towards
Towards Scalable Partial Evaluation of Declarative Programs (GV), pp. 1–4.
PADLPADL-2009-MaldeO #analysis #haskell #sequence #using
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell (KM, BO), pp. 183–194.
AdaSIGAda-2009-Schmidt #ada #maturity #reliability
An ada retrospective: developing large, mature, reliable systems (RBS), pp. 21–22.
RERE-2009-WnukRK #comprehension #industrial #visualisation #what
What Happened to Our Features? Visualization and Understanding of Scope Change Dynamics in a Large-Scale Industrial Setting (KW, BR, LK), pp. 89–98.
ASEASE-2009-PradelG #automation #generative #specification
Automatic Generation of Object Usage Specifications from Large Method Traces (MP, TRG), pp. 371–382.
ESEC-FSEESEC-FSE-2009-ZimmermannNGGM #empirical #fault #predict #process
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (TZ, NN, HG, EG, BM), pp. 91–100.
SACSAC-2009-Castro-HerreraDCM #elicitation #recommendation #requirements
A recommender system for requirements elicitation in large-scale software projects (CCH, CD, JCH, BM), pp. 1419–1426.
SACSAC-2009-CelikikB #performance
Fast error-tolerant search on very large texts (MC, HB), pp. 1724–1731.
SACSAC-2009-GohKCC #analysis #performance #video
Fast mode decision for scalable video coding based on neighboring macroblock analysis (GG, JK, MC, KC), pp. 1845–1846.
SACSAC-2009-HendersonE #graph
Applying latent dirichlet allocation to group discovery in large graphs (KH, TER), pp. 1456–1461.
SACSAC-2009-KangGC #predict
A new inter-layer prediction scheme for spatial scalability with different frame rates (JK, GG, KC), pp. 1779–1783.
SACSAC-2009-KimHJJY #data flow #network #social #visualisation
Visualization of information flows in a very large social network (SGK, HH, KJ, HJ, HYY), pp. 1841–1842.
SACSAC-2009-LiuYWJX #adaptation #memory management
An adaptive block-set based management for large-scale flash memory (ZL, LY, PW, PJ, XX), pp. 1621–1625.
SACSAC-2009-LopesZ #database #named #relational
HTILDE: scaling up relational decision trees for very large databases (CL, GZ), pp. 1475–1479.
SACSAC-2009-MathuriyaBHH #manycore #named #predict
GTfold: a scalable multicore code for RNA secondary structure prediction (AM, DAB, CEH, SCH), pp. 981–988.
SACSAC-2009-NarayananCKS #parallel
Parallel materialization of large ABoxes (SN, ÜVÇ, TMK, JHS), pp. 1257–1261.
SACSAC-2009-RekapalliHZ #identification #named
HSP-HMMER: a tool for protein domain identification on a large scale (BR, CH, IBZ), pp. 766–770.
CASECASE-2009-BermanK #abstraction #algorithm #assembly
Abstractions and algorithms for assembly tasks with large numbers of robots and parts (SB, VK), pp. 25–28.
CASECASE-2009-DInnocenzoWAIJP #algorithm #scheduling
Scalable scheduling algorithms for wireless networked control systems (AD, GW, RA, AJI, KHJ, GJP), pp. 409–414.
DACDAC-2009-BaoAEP #dependence #energy #online #optimisation
On-line thermal aware dynamic voltage scaling for energy optimization with frequency/temperature dependency consideration (MB, AA, PE, ZP), pp. 490–495.
DACDAC-2009-ChaiJK #3d #complexity #equation #linear
A direct integral-equation solver of linear complexity for large-scale 3D capacitance and impedance extraction (WC, DJ, CKK), pp. 752–757.
DACDAC-2009-Kuhn #challenge
CMOS scaling beyond 32nm: challenges and opportunities (KJK), pp. 310–313.
DACDAC-2009-Li #equation #modelling #performance
Finding deterministic solution from underdetermined equation: large-scale performance modeling by least angle regression (XL0), pp. 364–369.
DACDAC-2009-WangCL #network #satisfiability #simulation
Simulation and SAT-based Boolean matching for large Boolean networks (KHW, CMC, JCL), pp. 396–401.
DACDAC-2009-WilleD #logic #synthesis
BDD-based synthesis of reversible logic for large functions (RW, RD), pp. 270–275.
DACDAC-2009-WuDL #3d #integer #named #programming #using
GRIP: scalable 3D global routing using integer programming (THW, AD, JTL), pp. 320–325.
DACDAC-2009-YanVC
Handling complexities in modern large-scale mixed-size placement (JZY, NV, CC), pp. 436–441.
DATEDATE-2009-BartoliniRB #analysis #quality #visual notation
Visual quality analysis for dynamic backlight scaling in LCD systems (AB, MR, LB), pp. 1428–1433.
DATEDATE-2009-BaumgartnerM #liveness
Scalable liveness checking via property-preserving transformations (JB, HM), pp. 1680–1685.
DATEDATE-2009-ChandraA #reliability
Impact of voltage scaling on nanoscale SRAM reliability (VC, RCA), pp. 387–392.
DATEDATE-2009-ChandraKK #adaptation
Scalable Adaptive Scan (SAS) (AC, RK, YK), pp. 1476–1481.
DATEDATE-2009-GuanLF #design #set
Design of an application-specific instruction set processor for high-throughput and scalable FFT (XG, HL, YF), pp. 1302–1307.
DATEDATE-2009-Held #design
Gate sizing for large cell-based designs (SH), pp. 827–832.
DATEDATE-2009-Jara-BerrocalG #architecture #communication #composition #configuration management #named #parametricity
SCORES: A scalable and parametric streams-based communication architecture for modular reconfigurable systems (AJB, AGR), pp. 268–273.
DATEDATE-2009-KimYK #online #runtime
Program phase and runtime distribution-aware online DVFS for combined Vdd/Vbb scaling (JK, SY, CMK), pp. 417–422.
DATEDATE-2009-KodakaSTONKMUAOKTM #design #implementation #manycore #thread
Design and implementation of scalable, transparent threads for multi-core media processor (TK, SS, TT, RO, NN, KK, TM, YU, HA, YO, TK, YT, NM), pp. 1035–1039.
DATEDATE-2009-MonyBMB #identification
Speculative reduction-based scalable redundancy identification (HM, JB, AM, RKB), pp. 1674–1679.
DATEDATE-2009-PelcatMAN #architecture #manycore
Scalable compile-time scheduler for multi-core architectures (MP, PM, SA, JFN), pp. 1552–1555.
DATEDATE-2009-RemersaroRRP #generative #testing
A scalable method for the generation of small test sets (SR, JR, SMR, IP), pp. 1136–1141.
DATEDATE-2009-SasanHEK #process
Process Variation Aware SRAM/Cache for aggressive voltage-frequency scaling (AS, HH, AME, FJK), pp. 911–916.
HPCAHPCA-2009-AwasthiSBC #capacity
Dynamic hardware-assisted software-controlled page placement to manage capacity allocation and sharing within large caches (MA, KS, RB, JBC), pp. 250–261.
HPCAHPCA-2009-Chaudhuri #locality #multi #named #policy
PageNUCA: Selected policies for page-grain locality management in large shared chip-multiprocessor caches (MC), pp. 227–238.
HPCAHPCA-2009-HerbertM
Variation-aware dynamic voltage/frequency scaling (SH, DM), pp. 301–312.
HPDCHPDC-2009-AbbasiWEKSZ #named #staging
DataStager: scalable data staging services for petascale applications (HA, MW, GE, SK, KS, FZ), pp. 39–48.
HPDCHPDC-2009-CastilloRH #distributed #resource management
Resource co-allocation for large-scale distributed environments (CC, GNR, KH), pp. 131–140.
HPDCHPDC-2009-HeadG #execution #parallel #performance #xml
Performance enhancement with speculative execution based parallelism for processing large-scale xml-based application data (MRH, MG), pp. 21–30.
HPDCHPDC-2009-RaicuFZLMCT #data-driven #distributed
The quest for scalable support of data-intensive workloads in distributed systems (IR, ITF, YZ, PL, CM, AC, DT), pp. 207–216.
ISMMISMM-2009-HazelwoodLC #parallel #thread
Scalable support for multithreaded applications on dynamic binary instrumentation systems (KMH, GL, RC), pp. 20–29.
PDPPDP-2009-HermannsGWW #performance #verification
Verifying Causality between Distant Performance Phenomena in Large-Scale MPI Applications (MAH, MG, FW, BJNW), pp. 78–84.
PDPPDP-2009-KalewskiKK #detection #distributed #performance
FAST Failure Detection Service for Large Scale Distributed Systems (MK, AK, JK), pp. 229–236.
PPoPPPPoPP-2009-LiBH #distributed #multi #performance #scheduling #using
Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin (TL, DPB, SH), pp. 65–74.
SOSPSOSP-2009-BaumannBDHIPRSS #architecture #kernel #manycore
The multikernel: a new OS architecture for scalable multicore systems (AB, PB, PÉD, TLH, RI, SP, TR, AS, AS), pp. 29–44.
SOSPSOSP-2009-GlerumKGAONGLH #debugging #experience #implementation
Debugging in the (very) large: ten years of implementation and experience (KG, KK, SG, GA, VO, GN, DG, GL, GCH), pp. 103–116.
SOSPSOSP-2009-XuHFPJ #detection #mining #problem
Detecting large-scale system problems by mining console logs (WX, LH, AF, DAP, MIJ), pp. 117–132.
FASEFASE-2009-ClarkGT #analysis
Scalable Analysis of Scalable Systems (AC, SG, MT), pp. 1–17.
ICLPICLP-2009-Ashley-RollmanLGPC #independence
A Language for Large Ensembles of Independently Executing Nodes (MPAR, PL, SCG, PP, JC), pp. 265–280.
ISSTAISSTA-2009-FoucheCP #array #incremental
Incremental covering array failure characterization in large configuration spaces (SF, MBC, AAP), pp. 177–188.
ISSTAISSTA-2009-YooHTS #clustering #effectiveness #testing
Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge (SY, MH, PT, AS), pp. 201–212.
FATESTestCom-FATES-2009-Szabados #analysis
Structural Analysis of Large TTCN-3 Projects (KS), pp. 241–246.
VMCAIVMCAI-2009-LavironL #approach #linear #named
SubPolyhedra: A (More) Scalable Approach to Infer Linear Inequalities (VL, FL), pp. 229–244.
VMCAIVMCAI-2009-RakamaricH #low level #memory management
A Scalable Memory Model for Low-Level Code (ZR, AJH), pp. 290–304.
ECSAECSA-2008-GilsonEM #approach #architecture #design #distributed
A Large Scope Transformational Approach for Distributed Architecture Design (FG, VE, RM), pp. 330–333.
QoSAQoSA-2008-SalgerBEL #architecture #evaluation
Comprehensive Architecture Evaluation and Management in Large Software-Systems (FS, MB, GE, CL), pp. 205–219.
WICSAWICSA-2008-BahsoonE #approach #architecture #distributed
An Economics-Driven Approach for Valuing Scalability in Distributed Architectures (RB, WE), pp. 9–18.
WICSAWICSA-2008-LaMantiaCMR #design #evolution #matrix #using
Analyzing the Evolution of Large-Scale Software Systems Using Design Structure Matrices and Design Rule Theory: Two Exploratory Cases (MJL, YC, AM, JR), pp. 83–92.
DocEngDocEng-2008-PellanC #adaptation #documentation #multi
Adaptation of scalable multimedia documents (BP, CC), pp. 32–41.
DocEngDocEng-2008-PellanC08a #documentation #multi
Scalable multimedia documents for digital radio (BP, CC), pp. 221–222.
DRRDRR-2008-ZantSV #documentation #image #parallel
Large scale parallel document image processing (TvdZ, LS, EV), p. 68150.
TPDLECDL-2008-DussinF #design #evaluation #library
Design of a Digital Library System for Large-Scale Evaluation Campaigns (MD, NF), pp. 400–401.
TPDLECDL-2008-TarrantCP #metadata #network #power of
Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications (DT, LC, TRP), pp. 172–184.
HTHT-2008-FarzanB #navigation #research #social
Where did the researchers go?: supporting social navigation at a large academic (RF, PB), pp. 203–212.
SIGMODSIGMOD-2008-AlbrightDGGLKSSW #data-driven #game studies #named
SGL: a scalable language for data-driven games (RA, AJD, JG, NG, HL, RK, GS, BS, WMW), pp. 1217–1222.
SIGMODSIGMOD-2008-ChakkappenCDJSSZ #database #performance #statistics
Efficient and scalable statistics gathering for large databases in Oracle 11g (SC, TC, BD, LJ, US, HS, MZ), pp. 1053–1064.
SIGMODSIGMOD-2008-ChandramouliYAYZ #named
ProSem: scalable wide-area publish/subscribe (BC, JY, PKA, AY, YZ), pp. 1315–1318.
SIGMODSIGMOD-2008-GuptaDG #game studies #multi #named #online
SEMMO: a scalable engine for massively multiplayer online games (NG, AJD, JG), pp. 1235–1238.
SIGMODSIGMOD-2008-JinXRW #graph #query #reachability
Efficiently answering reachability queries on very large directed graphs (RJ, YX, NR, HW), pp. 595–608.
SIGMODSIGMOD-2008-MajumderRV #data type #regular expression
Scalable regular expression matching on data streams (AM, RR, SV), pp. 161–172.
SIGMODSIGMOD-2008-PanZW #clustering #composition #dataset #matrix #named #performance
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition (FP, XZ, WW), pp. 173–184.
SIGMODSIGMOD-2008-SametSA #database #distance #network
Scalable network distance browsing in spatial databases (HS, JS, HA), pp. 43–54.
VLDBVLDB-2008-AgrawalCCG #ad hoc
Scalable ad-hoc entity extraction from text collections (SA, KC, SC, VG), pp. 945–957.
VLDBVLDB-2008-AgrawalKO #scheduling
Scheduling shared scans of large data files (PA, DK, CO), pp. 958–969.
VLDBVLDB-2008-AguileraGS #distributed
A practical scalable distributed B-tree (MKA, WMG, MAS), pp. 598–609.
VLDBVLDB-2008-ChandramouliY
End-to-end support for joins in large-scale publish/subscribe systems (BC, JY), pp. 434–450.
VLDBVLDB-2008-GarrodMAMMOT #query #web
Scalable query result caching for web applications (CG, AM, AA, BMM, TCM, CO, AT), pp. 550–561.
VLDBVLDB-2008-KementsietsidisNCV #database #multi #optimisation #query
Scalable multi-query optimization for exploratory queries over federated scientific databases (AK, FN, DVdC, SV), pp. 16–27.
VLDBVLDB-2008-LuuSKPZRA #named #network #peer-to-peer #retrieval
AlvisP2P: scalable peer-to-peer text retrieval in a structured P2P network (TL, GS, FK, MP, IPZ, MR, KA), pp. 1424–1427.
VLDBVLDB-2008-MachanavajjhalaVGS
Scalable ranked publish/subscribe (AM, EV, MNG, JS), pp. 451–462.
VLDBVLDB-2008-NathG #maintenance #online #random
Online maintenance of very large random samples on flash storage (SN, PBG), pp. 970–983.
VLDBVLDB-2008-ShaoSZ #challenge #database #effectiveness #performance #similarity #video
Challenges and techniques for effective and efficient similarity search in large video databases (JS, HTS, XZ), pp. 1598–1603.
VLDBVLDB-2008-WangMGH #modelling #named #nondeterminism #probability #repository #visual notation
BayesStore: managing large, uncertain data repositories with probabilistic graphical models (DZW, EM, MNG, JMH), pp. 340–351.
VLDBVLDB-2008-WeigelPRGC #analysis #collaboration #web
Large-scale collaborative analysis and extraction of web data (FW, BP, MR, JG, MC), pp. 1476–1479.
ITiCSEITiCSE-2008-Long #student
Scalable apprenticeships: reconnecting students through technology (PDL), pp. 3–4.
ITiCSEITiCSE-2008-SalterD #logic #multi #using
Using DLSim 3: a scalable, extensible, multi-level logic simulator (RMS, JLD), p. 315.
CSMRCSMR-2008-GlorieZHD #case study #concept analysis #evolution #experience #industrial #using
Splitting a Large Software Archive for Easing Future Software Evolution — An Industrial Experience Report using Formal Concept Analysis (MG, AZ, LH, AvD), pp. 153–162.
CSMRCSMR-2008-KenmeiAP #analysis #open source #predict
Trend Analysis and Issue Prediction in Large-Scale Open Source Systems (BK, GA, MDP), pp. 73–82.
CSMRCSMR-2008-TeleaV08a #optimisation #performance
A Tool for Optimizing the Build Performance of Large Software Code Bases (ACT, LV), pp. 323–325.
ICPCICPC-2008-Kothari #comprehension #fault
Scalable Program Comprehension for Analyzing Complex Defects (SCK), pp. 3–4.
MSRMSR-2008-HindleGH #commit #what
What do large commits tell us?: a taxonomical study of large commits (AH, DMG, RCH), pp. 99–108.
SCAMSCAM-2008-Cifuentes #c #debugging #named
Parfait — A Scalable Bug Checker for C Code (CC), pp. 263–264.
WCREWCRE-2008-AriasAA #dependence #execution
Analyzing the Actual Execution of a Large Software-Intensive System for Determining Dependencies (TBCA, PA, PA), pp. 49–58.
WCREWCRE-2008-HenrardRCH #experience #re-engineering
Large-Scale Data Reengineering: Return from Experience (JH, DR, AC, JLH), pp. 305–308.
WCREWCRE-2008-WettelL #evolution #visual notation
Visual Exploration of Large-Scale System Evolution (RW, ML), pp. 219–228.
DLTDLT-2008-HadravovaH #similarity #word
Large Simple Binary Equality Words (JH, SH), pp. 396–407.
FMFM-2008-Engler #case study #experience #lessons learnt
Lessons in the Weird and Unexpected: Some Experiences from Checking Large Real Systems (DRE), p. 33.
AIIDEAIIDE-2008-LankveldSR
Difficulty Scaling through Incongruity (GvL, PS, MR).
CoGCIG-2008-SchaulS #architecture #game studies #network
A scalable neural network architecture for board games (TS, JS), pp. 357–364.
CHICHI-2008-AdarTD #analysis #web
Large scale analysis of web revisitation patterns (EA, JT, STD), pp. 1197–1206.
CHICHI-2008-HoffmannBW #visual notation
Evaluating visual cues for window switching on large screens (RH, PB, DSW), pp. 929–938.
CHICHI-2008-KobayashiI #multi #using
Ninja cursors: using multiple cursors to assist target acquisition on large screens (MK, TI), pp. 949–958.
CHICHI-2008-PeltonenKSJIEOS #exclamation #interactive #multi
It’s Mine, Don’t Touch!: interactions at a large multi-touch display in a city centre (PP, EK, AS, GJ, TI, JE, AO, PS), pp. 1285–1294.
SOFTVISSOFTVIS-2008-CottamHL #development #representation #testing
Representing unit test data for large scale software development (JAC, JH, AL), pp. 57–66.
SOFTVISSOFTVIS-2008-PauwAA #named #streaming #visualisation
Streamsight: a visualization tool for large-scale streaming applications (WDP, HA, LA), pp. 125–134.
SOFTVISSOFTVIS-2008-TeleaV #c++ #interactive #reverse engineering
An interactive reverse engineering environment for large-scale C++ code (ACT, LV), pp. 67–76.
CAiSECAiSE-2008-WeberR #modelling #process #refactoring #repository
Refactoring Process Models in Large Process Repositories (BW, MR), pp. 124–139.
ICEISICEIS-DISI-2008-BarryS #case study #commit #enterprise #experience #multi
Hesitancy in Committing to Large-Scale Enterprise Systems Solutions — Experiences at a Multi-national Corporation (CB, WS), pp. 282–289.
ICEISICEIS-DISI-2008-SellamiBAR #challenge
Study of Challenges and Techniques in Large Scale Matching (SS, ANB, YA, RR), pp. 355–361.
ICEISICEIS-HCI-2008-VuillemotRP #architecture #on-demand #visual notation #visualisation
Anatomy of a Visualization On-Demand Server — A Service Oriented Architecture to Visually Explore Large Data Collections (RV, BR, JMP), pp. 86–93.
ICEISICEIS-ISAS2-2008-KillispergerSPS #case study #challenge #design
Challenges in Software Design in Large Corporations — A Case Study at Siemens AG (PK, MS, GP, TS), pp. 123–128.
CIKMCIKM-2008-BekkermanS #clustering #state of the art #weaving
Data weaving: scaling up the state-of-the-art in data clustering (RB, MS), pp. 1083–1092.
CIKMCIKM-2008-Bradford #empirical #semantics
An empirical study of required dimensionality for large-scale latent semantic indexing applications (RBB), pp. 153–162.
CIKMCIKM-2008-Forman #classification #representation
BNS feature scaling: an improved representation over tf-idf for svm text classification (GF), pp. 263–270.
CIKMCIKM-2008-HerschelN #detection #graph
Scaling up duplicate detection in graph data (MH, FN), pp. 1325–1326.
CIKMCIKM-2008-KaghazianMS
Scalable complex pattern search in sequential data (LK, DM, RS), pp. 1467–1468.
CIKMCIKM-2008-LiNLGW #community
Scalable community discovery on textual data with relations (HL, ZN, WCL, CLG, JRW), pp. 1203–1212.
CIKMCIKM-2008-LiuLNBMG #dataset #feature model #performance #preprocessor #realtime
Real-time data pre-processing technique for efficient feature extraction in large scale datasets (YL, LVL, RSN, KB, PM, CLG), pp. 981–990.
CIKMCIKM-2008-ModaniD #clique #graph
Large maximal cliques enumeration in sparse graphs (NM, KD), pp. 1377–1378.
CIKMCIKM-2008-RaviP #using
Using structured text for large-scale attribute extraction (SR, MP), pp. 1183–1192.
CIKMCIKM-2008-ValleCP #database #multi
High-dimensional descriptor indexing for large multimedia databases (EV, MC, SPF), pp. 739–748.
CIKMCIKM-2008-WangTL #hybrid #named #ranking #towards
CE2: towards a large scale hybrid search engine with integrated ranking support (HW, TT, CL), pp. 1323–1324.
ECIRECIR-2008-EuachongprasitR #multi #normalisation #performance #retrieval
Efficient Multimedia Time Series Data Retrieval Under Uniform Scaling and Normalisation (WE, CAR), pp. 506–513.
ICMLICML-2008-HsiehCLKS #coordination #linear
A dual coordinate descent method for large-scale linear SVM (CJH, KWC, CJL, SSK, SS), pp. 408–415.
ICMLICML-2008-KarlenWEC
Large scale manifold transduction (MK, JW, AE, RC), pp. 448–455.
ICMLICML-2008-PalatucciC #classification #on the
On the chance accuracies of large collections of classifiers (MP, AC), pp. 744–751.
ICMLICML-2008-SarkarMP #graph #incremental #performance #proximity
Fast incremental proximity search in large graphs (PS, AWM, AP), pp. 896–903.
ICMLICML-2008-WolfeHK #dataset #distributed
Fully distributed EM for very large datasets (JW, AH, DK), pp. 1184–1191.
ICPRICPR-2008-IlayarajaNJ #implementation #performance #problem
Efficient implementation of SVM for large class problems (PI, NVN, CVJ), pp. 1–4.
ICPRICPR-2008-KonyaSGE #algorithm #detection #robust
A robust front page detection algorithm for large periodical collections (IVK, CS, SG, SE), pp. 1–5.
ICPRICPR-2008-RohithSKG #estimation #image #towards
Towards estimation of dense disparities from stereo images containing large textureless regions (MVR, GS, CK, CAG), pp. 1–5.
ICPRICPR-2008-UedaT #locality #on the #using
On the scalability of robot localization using high-dimensional features (TU, KT), pp. 1–4.
ICPRICPR-2008-WatanabeK08a #dataset
RANSAC-SVM for large-scale datasets (KW, TK), pp. 1–4.
KDDKDD-2008-FormanR #classification #file system
Scaling up text classification for large file systems (GF, SR), pp. 239–246.
KDDKDD-2008-GantiKV #categorisation #documentation
Entity categorization over large document collections (VG, ACK, RV), pp. 274–282.
KDDKDD-2008-GraepelH #data analysis #modelling #online
Large scale data analysis and modelling in online services and advertising (TG, RH), p. 2.
KDDKDD-2008-KeerthiSCHL #linear #multi
A sequential dual method for large scale multi-class linear svms (SSK, SS, KWC, CJH, CJL), pp. 408–416.
KDDKDD-2008-KiernanT #sequence #summary
Constructing comprehensive summaries of large event sequences (JK, ET), pp. 417–425.
KDDKDD-2008-ParikhS #detection #query #realtime
Scalable and near real-time burst detection from eCommerce queries (NP, NS), pp. 972–980.
KDDKDD-2008-SimonKZ #agile #approach #reliability #set
Semi-supervised approach to rapid and reliable labeling of large data sets (GJS, VK, ZLZ), pp. 641–649.
KDDKDD-2008-TongPSYF #graph #mining #named #performance
Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.
KDDKDD-2008-WuK #comparison #online
Experimental comparison of scalable online ad serving (GW, BK), pp. 1008–1015.
RecSysRecSys-2008-RendleS #kernel #matrix #modelling #recommendation
Online-updating regularized kernel matrix factorization models for large-scale recommender systems (SR, LST), pp. 251–258.
SEKESEKE-2008-DuffyHM #c++ #comprehension #evolution #interface #library #protocol #reverse engineering
Reverse Engineering Interface Protocols for Comprehension of Large C++ Libraries during Code Evolution Tasks (EBD, JOH, BAM), pp. 303–308.
SIGIRSIGIR-2008-BuduraMCA #metadata
To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems (AB, SM, PCM, KA), pp. 733–734.
SIGIRSIGIR-2008-CrainHZ #classification
A scalable assistant librarian: hierarchical subject classification of books (SPC, JH, HZ), pp. 799–800.
SIGIRSIGIR-2008-QuanCLX #adaptation #semantics
Adaptive label-driven scaling for latent semantic indexing (XQ, EC, QL, HX), pp. 827–828.
SIGIRSIGIR-2008-TheobaldSP #detection #named #performance #robust #web
SpotSigs: robust and efficient near duplicate detection in large web collections (MT, JS, AP), pp. 563–570.
SIGIRSIGIR-2008-XueXYY #classification
Deep classification in large-scale text hierarchies (GRX, DX, QY, YY), pp. 619–626.
SPLCSPLC-2008-KrsekZRCD #case study #experience #product line
Experiences of Large Banks: Hurdles and Enablers to the Adoption of Software Product Line Practices in Large Corporate Organisations (MK, JvZ, RR, BC, ND), pp. 161–169.
ECOOPECOOP-2008-SomanKD #memory management #multi #named #runtime
MTM2: Scalable Memory Management for Multi-tasking Managed Runtime Environments (SS, CK, LD), pp. 335–361.
LOPSTRLOPSTR-2008-LeuschelV #logic programming #partial evaluation #performance #source code
Fast Offline Partial Evaluation of Large Logic Programs (ML, GV), pp. 119–134.
PLDIPLDI-2008-ChenHPECCP #compilation #object-oriented #optimisation
Type-preserving compilation for large-scale optimizing object-oriented compilers (JC, CH, FP, ME, JC, DC, PP), pp. 183–192.
PLDIPLDI-2008-DilligDA #analysis
Sound, complete and scalable path-sensitive analysis (ID, TD, AA), pp. 270–280.
PLDIPLDI-2008-Kahlon #alias #analysis #named #pointer
Bootstrapping: a technique for scalable flow and context-sensitive pointer alias analysis (VK), pp. 249–259.
AdaSIGAda-2008-CicaleseWSBFGRS #architecture #distributed #multi
A distributed, multi-language architecture for large unmanned ground vehicles (CDTC, RMW, JS, RHB, KF, RG, KR, DS), pp. 133–138.
RERE-2008-Castro-HerreraDCM #data mining #elicitation #mining #process #recommendation #requirements #using
Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes (CCH, CD, JCH, BM), pp. 165–168.
RERE-2008-DubocLRW #case study #elicitation #requirements
A Case Study in Eliciting Scalability Requirements (LD, EL, DSR, TW), pp. 247–252.
RERE-2008-KonradG #development #requirements
Requirements Engineering in the Development of Large-Scale Systems (SK, MG), pp. 217–222.
REFSQREFSQ-2008-RegnellBW #complexity #question #requirements
Can We Beat the Complexity of Very Large-Scale Requirements Engineering? (BR, RBS, KW), pp. 123–128.
ASEASE-2008-BurnimS #generative #heuristic #testing
Heuristics for Scalable Dynamic Test Generation (JB, KS), pp. 443–446.
ASEASE-2008-FukudaY #development #internet
A System for Supporting Development of Large Scaled Rich Internet Applications (HF, YY), pp. 459–462.
ASEASE-2008-SchumannGPMB #analysis #parametricity #simulation #tool support
Tool Support for Parametric Analysis of Large Software Simulation Systems (JS, KGB, CSP, TM, TB), pp. 497–498.
FSEFSE-2008-DufourRS #java
A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications (BD, BGR, GS), pp. 59–70.
ICSEICSE-2008-BabicH #named #precise #static analysis
Calysto: scalable and precise extended static checking (DB, AJH), pp. 211–220.
ICSEICSE-2008-GabelJS #detection #semantics
Scalable detection of semantic clones (MG, LJ, ZS), pp. 321–330.
SACSAC-2008-AhamedRH #architecture #distributed #identification #using
Secured tag identification using EDSA (enhanced distributed scalable architecture) (SIA, FR, MEH), pp. 1902–1907.
SACSAC-2008-ConceicaoDFB #simulation
Large-scale simulation of V2V environments (HC, LD, MF, JB), pp. 28–33.
SACSAC-2008-FariaM #recognition #speech
When a mismatch can be good: large vocabulary speech recognition trained with idealized tandem features (AF, NM), pp. 1574–1577.
SACSAC-2008-LeoneS #clustering #network #process
Interacting urns processes: for clustering of large-scale networks of tiny artifacts (PL, EMS), pp. 2046–2051.
SACSAC-2008-Martin-HughesR
Examining the motivations of defection in large-scale open systems (RMH, JR), pp. 2035–2039.
SACSAC-2008-ParkLLP #architecture #file system #hybrid #memory management #named #ram
PFFS: a scalable flash memory file system for the hybrid architecture of phase-change RAM and NAND flash (YP, SHL, CL, KHP), pp. 1498–1503.
SACSAC-2008-SriplakichBG #collaboration #experience #modelling #re-engineering #requirements
Collaborative software engineering on large-scale models: requirements and experience in ModelBus (PS, XB, MPG), pp. 674–681.
SACSAC-2008-TsaiHC #design #power management #queue
Power-efficient and scalable load/store queue design via address compression (YYT, CJH, CHC), pp. 1523–1527.
SACSAC-2008-TsujiKH #implementation #multi #set
History offset implementation scheme for large scale multidimensional data sets (TT, MK, KH), pp. 1021–1028.
GPCEGPCE-2008-Fano #challenge #integration
Emerging challenges for large scale systems integration (AF), pp. 1–2.
GPCEGPCE-2008-MendoncaWCC #compilation #feature model #modelling #performance
Efficient compilation techniques for large scale feature models (MM, AW, KC, DDC), pp. 13–22.
ASPLOSASPLOS-2008-MallikCDMD #named #performance
PICSEL: measuring user-perceived performance to control dynamic frequency scaling (AM, JC, RPD, GM, PAD), pp. 70–79.
CASECASE-2008-KimSEP #component #self
Large scale self-assembly of crystalline semiconductor microcomponents onto plastic substrates via microfluidic traps (SSK, ES, JRE, BAP), pp. 967–970.
CCCC-2008-RountevSX #analysis #data flow #ide #library #object-oriented
IDE Dataflow Analysis in the Presence of Large Object-Oriented Libraries (AR, MS, G(X), pp. 53–68.
DACDAC-2008-CaoFHS #algorithm #multi
Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications (ZC, BF, LH, MvdS), pp. 179–184.
DACDAC-2008-El-MoselhyEW #algorithm #parametricity #performance #set
Efficient algorithm for the computation of on-chip capacitance sensitivities with respect to a large set of parameters (TAEM, IME, DW), pp. 906–911.
DACDAC-2008-GanaiG #slicing #towards
Tunneling and slicing: towards scalable BMC (MKG, AG), pp. 137–142.
DACDAC-2008-HomayounPMV #embedded #energy #performance
Dynamic register file resizing and frequency scaling to improve embedded processor performance and energy-delay efficiency (HH, SP, MAM, AVV), pp. 68–71.
DACDAC-2008-HurstMB #constraints
Scalable min-register retiming under timing and initializability constraints (APH, AM, RKB), pp. 534–539.
DACDAC-2008-JiangS #algorithm
Circuit-wise buffer insertion and gate sizing algorithm with scalability (ZJ, WS), pp. 708–713.
DACDAC-2008-JiangSC #design
Routability-driven analytical placement by net overlapping removal for large-scale mixed-size designs (ZWJ, BYS, YWC), pp. 167–172.
DACDAC-2008-KunduGG #design #partial order #reduction #testing
Partial order reduction for scalable testing of systemC TLM designs (SK, MKG, RG), pp. 936–941.
DACDAC-2008-KurimotoSAYOTS #detection #fault #optimisation
Phase-adjustable error detection flip-flops with 2-stage hold driven optimization and slack based grouping scheme for dynamic voltage scaling (MK, HS, RA, TY, HO, HT, HS), pp. 884–889.
DACDAC-2008-LeeJH #satisfiability
Bi-decomposing large Boolean functions via interpolation and satisfiability solving (RRL, JHRJ, WLH), pp. 636–641.
DATEDATE-2008-EberleG #architecture #automation #communication #design #network #power management
A scalable low-power digital communication network architecture and an automated design path for controlling the analog/RF part of SDR transceivers (WE, MG), pp. 710–715.
DATEDATE-2008-FarahaniFS #architecture #network #using
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence (AFF, SMF, SS), pp. 1340–1345.
DATEDATE-2008-HongYBCEK #bias #runtime
Dynamic Voltage Scaling of Supply and Body Bias Exploiting Software Runtime Distribution (SH, SY, BB, KMC, SKE, TK), pp. 242–247.
DATEDATE-2008-HosseinabadyKMP #architecture #energy #graph #latency #performance
De Bruijn Graph as a Low Latency Scalable Architecture for Energy Efficient Massive NoCs (MH, MRK, JM, DKP), pp. 1370–1373.
DATEDATE-2008-MalaniMQW #adaptation #multi #nondeterminism #realtime #scheduling
Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload (PM, PM, QQ, QW), pp. 652–657.
DATEDATE-2008-Pamunuwa #integration #memory management
Memory Technology for Extended Large-Scale Integration in Future Electronics Applications (DP), pp. 1126–1127.
DATEDATE-2008-SathanurPBMMP #algorithm #framework
A Scalable Algorithmic Framework for Row-Based Power-Gating (AVS, AP, LB, AM, EM, MP), pp. 379–384.
DATEDATE-2008-VillenaS #algorithm #named #order #reduction
SPARE — a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction (JFV, LMS), pp. 586–591.
HPDCHPDC-2008-HupfeldKSHCMM #fault tolerance #named
FaTLease: scalable fault-tolerant lease negotiation with paxos (FH, BK, JS, MH, TC, JM, JM), pp. 1–10.
HPDCHPDC-2008-IosupSAE #distributed #performance
The performance of bags-of-tasks in large-scale distributed systems (AI, OOS, SA, DHJE), pp. 97–108.
HPDCHPDC-2008-PasqualiBCRL
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids (MP, RB, GC, LR, DL), pp. 231–232.
OSDIOSDI-2008-JainMKYDZ #consistency #metric #monitoring #network
Network Imprecision: A New Consistency Metric for Scalable Monitoring (NJ, PM, DK, PY, MD, YZ), pp. 87–102.
OSDIOSDI-2008-NarayananDTER #named
Everest: Scaling Down Peak Loads Through I/O Off-Loading (DN, AD, ET, SE, AITR), pp. 15–28.
PDPPDP-2008-DinhLTM #distributed #network #simulation
Large Scale Distributed Simulation of p2p Networks (TTAD, ML, GKT, RM), pp. 499–507.
PPoPPPPoPP-2008-BocchinoAC #clustering #memory management #transaction
Software transactional memory for large scale clusters (RLBJ, VSA, BLC), pp. 247–258.
PPoPPPPoPP-2008-ChengCHT #classification #manycore #platform #using
Scalable packet classification using interpreting: a cross-platform multi-core solution (HC, ZC, BH, XT), pp. 33–42.
CAVCAV-2008-YangLBCCDO #analysis
Scalable Shape Analysis for Systems Code (HY, OL, JB, CC, BC, DD, PWO), pp. 385–398.
ICLPICLP-2008-GebserSTUV #biology #consistency #detection #network #nondeterminism #programming #set
Detecting Inconsistencies in Large Biological Networks with Answer Set Programming (MG, TS, ST, BU, PV), pp. 130–144.
ISSTAISSTA-2008-XuR #analysis #points-to
Merging equivalent contexts for scalable heap-cloning-based context-sensitive points-to analysis (G(X, AR), pp. 225–236.
ISSTAISSTA-2008-YoonSMP #effectiveness #testing
Effective and scalable software compatibility testing (ICY, AS, AMM, AAP), pp. 63–74.
ECSAECSA-2007-Zalewski #analysis #architecture #development
Beyond ATAM: Architecture Analysis in the Development of Large Scale Software Systems (AZ), pp. 92–105.
WICSAWICSA-2007-RossoM #approach #architecture #knowledge-based #using
Assessing the Architectonics of Large, Software-Intensive Systems Using a Knowledge-Based Approach (CDR, AM), p. 2.
DocEngDocEng-2007-ChaoGW
Preserving the aesthetics during non-fixed aspect ratio scaling of the digital border (HC, PG, AW), pp. 144–146.
DocEngDocEng-2007-KimYHKK #documentation #modelling #xml
A document object modeling method to retrieve data from a very large XML document (SMK, SIY, EH, TGK, IKK), pp. 59–68.
TPDLECDL-2007-AgostiNFHP #evaluation #future of #information retrieval
The Future of Large-Scale Evaluation Campaigns for Information Retrieval in Europe (MA, GMDN, NF, DH, CP), pp. 509–512.
TPDLECDL-2007-BarrettBEFMMZ #data transformation #modelling
A Scalable Data Management Tool to Support Epidemiological Modeling of Large Urban Regions (CLB, KRB, SE, EAF, YM, MVM, XZ), pp. 546–548.
TPDLECDL-2007-Madsen #clustering
Large-Scale Clustering and Complete Facet and Tag Calculation (BAM), pp. 309–320.
HTHT-2007-WongCWS #industrial #semantics #web
Lesson learnt from a large-scale industrial semantic web application (SCW, RMC, GBW, NRS), pp. 21–30.
ICDARICDAR-2007-KumarJ #documentation #image
Content-level Annotation of Large Collection of Printed Document Images (AK, CVJ), pp. 799–803.
ICDARICDAR-2007-MozaffariFMA #reduction
Strategies for Large Handwritten Farsi/Arabic Lexicon Reduction (SM, KF, VM, HEA), pp. 98–102.
JCDLJCDL-2007-RodriguezBS #modelling #ontology
A practical ontology for the large-scale modeling of scholarly artifacts and their usage (MAR, JB, HVdS), pp. 278–287.
JCDLJCDL-2007-StewartCB #corpus #generative #mining
A new generation of textual corpora: mining corpora from very large collections (GS, GRC, AB), pp. 356–365.
SIGMODSIGMOD-2007-ChengYC #prototype
Supporting entity search: a large-scale prototype search engine (TC, XY, KCCC), pp. 1144–1146.
SIGMODSIGMOD-2007-FaloutsosKS #graph #matrix #mining #tool support #using
Mining large graphs and streams using matrix and tensor tools (CF, TGK, JS), p. 1174.
SIGMODSIGMOD-2007-JermaineAPD #approximate #query
Scalable approximate query processing with the DBO engine (CMJ, SA, AP, AD), pp. 725–736.
SIGMODSIGMOD-2007-LiuMQYRWLHZ #development #evaluation #named
AllInOneNews: development and evaluation of a large-scale news metasearch engine (KLL, WM, JQ, CTY, VVR, ZW, YL, HH, HZ), pp. 1017–1028.
SIGMODSIGMOD-2007-TrisslL #graph #performance #query
Fast and practical indexing and querying of very large graphs (ST, UL), pp. 845–856.
SIGMODSIGMOD-2007-WhiteDKGR #game studies
Scaling games to epic proportion (WMW, AJD, CK, JG, RR), pp. 31–42.
SIGMODSIGMOD-2007-YangDHP #clustering #named #relational
Map-reduce-merge: simplified relational data processing on large clusters (HcY, AD, RLH, DSPJ), pp. 1029–1040.
VLDBVLDB-2007-AbadiMMH #clustering #data transformation #semantics #using #web
Scalable Semantic Web Data Management Using Vertical Partitioning (DJA, AM, SM, KJH), pp. 411–422.
VLDBVLDB-2007-AbiteboulDPVVP #open source
Large Scale P2P Distribution of Open-Source Software (SA, ID, RP, GV, DV, NP), pp. 1390–1393.
VLDBVLDB-2007-ChandramouliPY
Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems (BC, JMP, JY), pp. 878–889.
VLDBVLDB-2007-HuaPFLL #database #query
Efficiently Answering Top-k Typicality Queries on Large Databases (MH, JP, AWCF, XL, HfL), pp. 890–901.
VLDBVLDB-2007-IwuchukwuN #incremental #towards
K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization (TI, JFN), pp. 746–757.
VLDBVLDB-2007-JainDZKMY #monitoring #named #self
STAR: Self-Tuning Aggregation for Scalable Monitoring (NJ, MD, YZ, DK, PM, PY), pp. 962–973.
VLDBVLDB-2007-KrompassDKK
Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls (SK, UD, HAK, AK), pp. 1105–1115.
CSEETCSEET-2007-NaumanU #collaboration #student
SE and CS Collaboration: Training Students for Engineering Large, Complex Systems (MN, MU), pp. 167–174.
WCREWCRE-J-2005-AndreopoulosATW07 #clustering #multi
Clustering large software systems at multiple layers (BA, AA, VT, XW), pp. 244–254.
CSMRCSMR-2007-HeymansBW #interactive #migration #platform #testing
Testing Techniques for the Cross-platform Migration of Very Large Interactive Applications (LH, TVdB, BW), pp. 323–324.
CSMRCSMR-2007-Leeten #configuration management #evolution
Software Configuration Management, Fundament for Evolution of Large Existing Code Bases (BL), pp. 321–322.
SCAMSCAM-2007-JiangH #framework
A Framework for Studying Clones In Large Software Systems (ZMJ, AEH), pp. 203–212.
ICALPICALP-2007-DawarGKS
Model Theory Makes Formulas Large (AD, MG, SK, NS), pp. 913–924.
ICALPICALP-2007-MillerPS
Size Competitive Meshing Without Large Angles (GLM, TP, DS), pp. 655–666.
SEFMSEFM-2007-ColvinG #algorithm #stack #verification
A Scalable Lock-Free Stack Algorithm and its Verification (RC, LG), pp. 339–348.
SFMSFM-2007-KnottenbeltB #modelling #performance
Tackling Large State Spaces in Performance Modelling (WJK, JTB), pp. 318–370.
LISPILC-2007-Aasman #lisp
Scalable Lisp applications (JA), p. 1.
CHICHI-2007-BallNB #navigation #performance #physics
Move to improve: promoting physical navigation to increase user performance with large displays (RB, CN, DAB), pp. 191–200.
CHICHI-2007-BirnholtzGMB #case study #process #using
An exploratory study of input configuration and group process in a negotiation task using a large display (JPB, TG, CM, RB), pp. 91–100.
CHICHI-2007-GoodGMK #empirical
Noticing notice: a large-scale experiment on the timing of software license agreements (NG, JG, DKM, JAK), pp. 607–616.
CHICHI-2007-YostHN #visual notation #visualisation
Beyond visual acuity: the perceptual scalability of information visualizations for large displays (BY, YH, CN), pp. 101–110.
HCIDHM-2007-GeraciLMPR #algorithm #array #clustering
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering (FG, ML, MM, MP, MER), pp. 606–615.
HCIDHM-2007-XiangZ07a #database #performance #retrieval
Motion Retrieval Based on an Efficient Index Method for Large-Scale Mocap Database (JX, HZ), pp. 234–242.
HCIHCI-IPT-2007-HuangT #security #smarttech
A Wearable Computing Environment for the Security of a Large-Scale Factory (JyH, CHT), pp. 1113–1122.
HCIHCI-IPT-2007-JiangLMZLB #image #interactive #multi
Interactive Browsing of Large Images on Multi-projector Display Wall System (ZJ, XL, YM, BZ, HL, HB), pp. 827–836.
HCIHIMI-IIE-2007-KohL #case study #distance #education #effectiveness
The Effectiveness of Educational Technology: A Preliminary Study of Learners from Small and Large Power Distance Cultures (EK, JL), pp. 384–393.
HCIHIMI-MTT-2007-CouturierRC #approach #interactive #set
An Interactive Approach to Display Large Sets of Association Rules (OC, JR, VC), pp. 258–267.
HCIHIMI-MTT-2007-GeislerERPSG #interactive #paradigm
Fovea-Tablett®: A New Paradigm for the Interaction with Large Screens (JG, RE, NR, EPB, CS, SG), pp. 278–287.
VISSOFTVISSOFT-2007-Hamou-Lhadj #effectiveness #execution #visualisation
Effective Exploration and Visualization of Large Execution Traces (AHL), pp. 152–153.
ICEISICEIS-J-2007-Novacek07a #automation #documentation #information management #integration #taxonomy
Automatic Knowledge Acquisition and Integration Technique: Application to Large Scale Taxonomy Extraction and Document Annotation (VN), pp. 160–172.
ICEISICEIS-SAIC-2007-PoloniaCO #using
A MODEL to Optimize the Use of Imaging Equipment and Human Skills Scattered in Very Large Geographical Areas (DFP, CMAC, JLO), pp. 208–212.
CIKMCIKM-2007-BotelhoZ #set
External perfect hashing for very large key sets (FCB, NZ), pp. 653–662.
CIKMCIKM-2007-Martinez-BazanMGNSL #graph #information retrieval #named
Dex: high-performance exploration on large graphs for information retrieval (NMB, VMM, SGV, JN, MASM, JLLP), pp. 573–582.
ECIRECIR-2007-LiuYZQM #clustering #optimisation #performance
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (TYL, HYY, XZ, TQ, WYM), pp. 319–330.
ECIRECIR-2007-ZhangZC #performance #using
Efficient Construction of FM-index Using Overlapping Block Processing for Large Scale Texts (DZ, YZ, JC), pp. 113–123.
ECIRECIR-2007-ZhaoZ #documentation
Entropy-Based Authorship Search in Large Document Collections (YZ, JZ), pp. 381–392.
ICMLICML-2007-AndrewG #modelling
Scalable training of L1-regularized log-linear models (GA, JG), pp. 33–40.
ICMLICML-2007-BabariaNKSBM #crawling
Focused crawling with scalable ordinal regression solvers (RB, JSN, SK, KRS, CB, MNM), pp. 57–64.
ICMLICML-2007-LeskovecF #graph #modelling #multi #using
Scalable modeling of real graphs using Kronecker multiplication (JL, CF), pp. 497–504.
ICMLICML-2007-LiLL #learning
Large-scale RLSC learning without agony (WL, KHL, KSL), pp. 529–536.
ICMLICML-2007-LinWK #trust
Trust region Newton methods for large-scale logistic regression (CJL, RCW, SSK), pp. 561–568.
ICMLICML-2007-MannM #learning #robust
Simple, robust, scalable semi-supervised learning via expectation regularization (GSM, AM), pp. 593–600.
KDDKDD-2007-AgarwalM #modelling #predict
Predictive discrete latent factor models for large scale dyadic data (DA, SM), pp. 26–35.
KDDKDD-2007-BellKV #modelling #multi #recommendation
Modeling relationships at multiple scales to improve accuracy of large recommender systems (RMB, YK, CV), pp. 95–104.
KDDKDD-2007-BhagwatEM #clustering #corpus #documentation #similarity
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus (DB, KE, PM), pp. 105–112.
KDDKDD-2007-CurryGLVB #case study #detection #set
Detecting changes in large data sets of payment card data: a case study (CC, RLG, DL, SV, JB), pp. 1018–1022.
KDDKDD-2007-SunFPY #graph #mining #named
GraphScope: parameter-free mining of large time-evolving graphs (JS, CF, SP, PSY), pp. 687–696.
KDDKDD-2007-TeoSVL #composition
A scalable modular convex solver for regularized risk minimization (CHT, AJS, SVNV, QVL), pp. 727–736.
KDDKDD-2007-TongFGE #graph #pattern matching #performance
Fast best-effort pattern matching in large attributed graphs (HT, CF, BG, TER), pp. 737–746.
KDDKDD-2007-VogelAS #linear
Scalable look-ahead linear regression trees (DSV, OA, TS), pp. 757–764.
KDDKDD-2007-YankovKMCZ #detection
Detecting time series motifs under uniform scaling (DY, EJK, JM, BYcC, VBZ), pp. 844–853.
SIGIRSIGIR-2007-AltingovdeOOCU #clustering #retrieval
Large-scale cluster-based retrieval experiments on Turkish texts (ISA, RO, HCO, FC, ÖU), pp. 891–892.
ECMFAECMDA-FA-2007-ShirtzKS #development #modelling
Adopting Model Driven Development in a Large Financial Organization (DS, MK, YSG), pp. 172–183.
MODELSMoDELS-2007-FleureyBBNJ #industrial #migration #modelling
Model-Driven Engineering for Software Migration in a Large Industrial Context (FF, EB, BB, AN, JMJ), pp. 482–497.
MODELSMoDELS-2007-LeppanenLT #automation #design #industrial #modelling
A Modelling Method for Rigorous and Automated Design of Large-Scale Industrial Systems (KL, SL, MT), pp. 331–345.
MODELSMoDELS-2007-FleureyBBNJ #industrial #migration #modelling
Model-Driven Engineering for Software Migration in a Large Industrial Context (FF, EB, BB, AN, JMJ), pp. 482–497.
MODELSMoDELS-2007-LeppanenLT #automation #design #industrial #modelling
A Modelling Method for Rigorous and Automated Design of Large-Scale Industrial Systems (KL, SL, MT), pp. 331–345.
OOPSLAOOPSLA-2007-IgarashiV
Variant path types for scalable extensibility (AI, MV), pp. 113–132.
OOPSLAOOPSLA-2007-PothierTP #debugging
Scalable omniscient debugging (GP, ÉT, JMP), pp. 535–552.
LOPSTRLOPSTR-2007-ZhangN #constraints #theorem proving #unification #using
A Scalable Inclusion Constraint Solver Using Unification (YZ, FN), pp. 121–137.
PLDIPLDI-2007-LiZ #concurrent #evaluation #implementation #monad #network #thread
Combining events and threads for scalable network services implementation and evaluation of monadic, application-level concurrency primitives (PL, SZ), pp. 189–199.
PPDPPPDP-2007-BentonF #declarative #implementation #interactive #program analysis #prototype
Interactive, scalable, declarative program analysis: from prototype to implementation (WCB, CNF), pp. 13–24.
REFSQREFSQ-2007-JonesMMG #modelling #process #specification
Informing the Specification of a Large-Scale Socio-technical System with Models of Human Activity (SJ, NAMM, SM, JG), pp. 175–189.
ASEASE-2007-SmaragdakisCS #automation #diagrams #generative #modelling #testing
Scalable automatic test data generation from modeling diagrams (YS, CC, RS), pp. 4–13.
ESEC-FSEESEC-FSE-2007-DubocRW #analysis #framework
A framework for characterization and analysis of software system scalability (LD, DSR, TW), pp. 375–384.
ESEC-FSEESEC-FSE-2007-MiranskyyMGDWG #approach #execution #multi
An iterative, multi-level, and scalable approach to comparing execution traces (AVM, NHM, MG, MD, MW, DG), pp. 537–540.
ESEC-FSEESEC-FSE-2007-NgoT #detection
Detecting large number of infeasible paths through recognizing their patterns (MNN, HBKT), pp. 215–224.
ESEC-FSEESEC-FSE-2007-TreudeBWK #difference #modelling
Difference computation of large models (CT, SB, SW, UK), pp. 295–304.
ICSEICSE-2007-JiangMSG #detection #named
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones (LJ, GM, ZS, SG), pp. 96–105.
SACSAC-2007-Chang #on the #performance
On efficient wear leveling for large-scale flash-memory storage systems (LPC), pp. 1126–1130.
SACSAC-2007-GramoliAV #configuration management #memory management #named
SQUARE: scalable quorum-based atomic memory with local reconfiguration (VG, EA, AV), pp. 574–579.
SACSAC-2007-KimmSS #algorithm #evaluation #linux #mobile
Evaluation of interval-based dynamic voltage scaling algorithms on mobile Linux system (HK, SYS, COS), pp. 1141–1145.
SACSAC-2007-KimVH #coordination #network
Scalable coordination for sensor networks in challenging environments (SK, VV, KH), pp. 214–221.
SACSAC-2007-LianCY #database #maintenance
Maintenance of maximal frequent itemsets in large databases (WL, DWC, SMY), pp. 388–392.
SACSAC-2007-LuoFSR #database #retrieval #video #visualisation
Large scale news video database browsing and retrieval via information visualization (HL, JF, SS, WR), pp. 1086–1087.
SACSAC-2007-WuHH #framework #internet
A scalable overlay framework for internet anycasting service (CJW, RHH, JMH), pp. 193–197.
GPCEGPCE-2007-JungH #architecture #component #framework #specification
A type-centric framework for specifying heterogeneous, large-scale, component-oriented, architectures (GJ, JH), pp. 33–42.
GPCEGPCE-2007-KaminaT #component #lightweight
Lightweight scalable components (TK, TT), pp. 145–154.
DACDAC-2007-HansonSSB
Nanometer Device Scaling in Subthreshold Circuits (SH, MS, DS, DB), pp. 700–705.
DACDAC-2007-LiuS #predict #process #statistics
Confidence Scalable Post-Silicon Statistical Delay Prediction under Process Variations (QL, SSS), pp. 497–502.
DACDAC-2007-PuttaswamyL #3d
Scalability of 3D-Integrated Arithmetic Units in High-Performance Microprocessors (KP, GHL), pp. 622–625.
DATEDATE-2007-BjerregaardSS #architecture
A scalable, timing-safe, network-on-chip architecture with an integrated clock distribution method (TB, MBS, JS), pp. 648–653.
DATEDATE-2007-ChoudhuryM #analysis #logic #reliability
Accurate and scalable reliability analysis of logic circuits (MRC, KM), pp. 1454–1459.
DATEDATE-2007-HuangG #energy #optimisation #performance #realtime
Efficient and scalable compiler-directed energy optimization for realtime applications (PKH, SG), pp. 785–790.
DATEDATE-2007-HwangCR #interactive #process
Interactive presentation: Process tolerant beta-ratio modulation for ultra-dynamic voltage scaling (MEH, TC, KR), pp. 1550–1555.
DATEDATE-2007-KrishnaiahES #architecture #configuration management
Scalable reconfigurable channel decoder architecture for future wireless handsets (GK, NE, SS), pp. 1563–1568.
DATEDATE-2007-PetersenO #2d #towards
Toward a scalable test methodology for 2D-mesh Network-on-Chips (KP, ), pp. 367–372.
DATEDATE-2007-QuSN #configuration management #energy #interactive #runtime #using
Interactive presentation: Using dynamic voltage scaling to reduce the configuration energy of run time reconfigurable devices (YQ, JPS, JN), pp. 147–152.
DATEDATE-2007-Srivastava #interactive #predict
Interactive presentation: Radix 4 SRT division with quotient prediction and operand scaling (NRS), pp. 195–200.
DATEDATE-2007-VermaI #automation #synthesis
Automatic synthesis of compressor trees: reevaluating large counters (AKV, PI), pp. 443–448.
HPCAHPCA-2007-ChafiCCMMBKO #approach #memory management #transaction
A Scalable, Non-blocking Approach to Transactional Memory (HC, JC, BDC, AM, CCM, WB, CK, KO), pp. 97–108.
HPCAHPCA-2007-GaneshJWJ #architecture #comprehension #memory management
Fully-Buffered DIMM Memory Architectures: Understanding Mechanisms, Overheads and Scaling (BG, AJ, DW, BLJ), pp. 109–120.
HPCAHPCA-2007-JinKY #design #network
A Domain-Specific On-Chip Network Design for Large Scale Cache Systems (YJ, EJK, KHY), pp. 318–327.
HPDCHPDC-2007-ByunJK #adaptation #reliability #resource management #towards
Towards adaptive, scalable, and reliable resource provisioning for wsrf-compliant applications (EKB, JWJ, JSK), pp. 217–218.
HPDCHPDC-2007-DamevskiSP #component #design #distributed #framework #named
CCALoop: scalable design of a distributed component framework (KD, ADS, SGP), pp. 213–214.
HPDCHPDC-2007-GadgilFPP #architecture #fault tolerance
Scalable, fault-tolerant management in a service oriented architecture (HG, GF, SP, MEP), pp. 235–236.
HPDCHPDC-2007-HildebrandH #file system #named #parallel
Direct-pNFS: scalable, transparent, and versatile access to parallel file systems (DH, PH), pp. 199–208.
HPDCHPDC-2007-MullerGSF #case study #game studies #multi #online #replication #using
Scaling multiplayer online games using proxy-server replication: a case study of Quake 2 (JM, SG, TS, SF), pp. 219–220.
HPDCHPDC-2007-RajS #performance #self
High performance and scalable I/O virtualization via self-virtualized devices (HR, KS), pp. 179–188.
HPDCHPDC-2007-VuGLN #metric #multi #streaming
Measurement of a large-scale overlay for multimedia streaming (LV, IG, JL, KN), pp. 241–242.
LCTESLCTES-2007-AbouGhazalehFRXLCMM #cpu #machine learning #using
Integrated CPU and l2 cache voltage scaling using machine learning (NA, APF, CR, RX, FL, BRC, DM, RGM), pp. 41–50.
LCTESLCTES-2007-ZhuM #feedback #named #reduction #scheduling
DVSleak: combining leakage reduction and voltage scaling in feedback EDF scheduling (YZ, FM), pp. 31–40.
PDPPDP-2007-BinzenhoferHKE #data type #network #performance #simulation
Efficient Simulation of Large-Scale P2P Networks: Compact Data Structures (AB, TH, GK, KE), pp. 467–474.
PDPPDP-2007-KunzmannNHBE #modelling #network #performance #simulation
Efficient Simulation of Large-Scale P2P Networks: Modeling Network Transmission Times (GK, RN, TH, AB, KE), pp. 475–481.
PDPPDP-2007-YangZH #network #peer-to-peer
Scalable Content-Based Publish/Subscribe Services over Structured Peer-to-Peer Networks (XY, YZ, YH), pp. 171–178.
PPoPPPPoPP-2007-MamidalaNVSP #on the #performance #trade-off #using
On using connection-oriented vs. connection-less transport for performance and scalability of collective and one-sided operations: trade-offs and impact (ARM, SN, AV, GS, DKP), pp. 46–54.
PPoPPPPoPP-2007-WenWM #distributed #named #network #simulation
Disens: scalable distributed sensor network simulation (YW, RW, GM), pp. 24–34.
SOSPSOSP-2007-AguileraMSVK #distributed #named #paradigm
Sinfonia: a new paradigm for building scalable distributed systems (MKA, AM, MAS, ACV, CTK), pp. 159–174.
STOCSTOC-2007-Samorodnitsky #testing
Low-degree tests at large distances (AS), pp. 506–515.
ISSTAISSTA-2007-EnglerD #automation #execution
Under-constrained execution: making automatic code destruction easy and scalable (DRE, DD), pp. 1–4.
TPDLECDL-2006-ChowdhuryMP #evaluation #library
Large-Scale Impact of Digital Library Services: Findings from a Major Evaluation of SCRAN (GGC, DM, AP), pp. 256–266.
TPDLECDL-2006-DoulkeridisNV #generative #library #semantics
Scalable Semantic Overlay Generation for P2P-Based Digital Libraries (CD, KN, MV), pp. 26–38.
TPDLECDL-2006-Khoo #distributed #education #framework #library
A Sociotechnical Framework for Evaluating a Large-Scale Distributed Educational Digital Library (MK), pp. 449–452.
JCDLJCDL-2006-ChristelRW
Facilitating access to large digital oral history archives through informedia technologies (MGC, JR, HDW), pp. 194–195.
PODSPODS-2006-GroheHS #bound #random #set
Randomized computations on large data sets: tight lower bounds (MG, AH, NS), pp. 243–252.
PODSPODS-2006-PaghP
Scalable computation of acyclic joins (AP, RP), pp. 225–232.
SIGMODSIGMOD-2006-ChandramouliXY #database #interface #network #on the
On the database/network interface in large-scale publish/subscribe systems (BC, JX, JY), pp. 587–598.
SIGMODSIGMOD-2006-GovindarajuGKM #database #named #performance #sorting
GPUTeraSort: high performance graphics co-processor sorting for large database management (NKG, JG, RK, DM), pp. 325–336.
SIGMODSIGMOD-2006-Jonas #experience
Identity resolution: 23 years of practical experience and observations at scale (JJ), p. 718.
SIGMODSIGMOD-2006-ManjhiAMMOT #data-driven #security #web
Simultaneous scalability and security for data-intensive web applications (AM, AA, BMM, TCM, CO, AT), pp. 241–252.
SIGMODSIGMOD-2006-VuHCL #database #performance #similarity
A non-linear dimensionality-reduction technique for fast similarity search in large databases (KV, KAH, HC, SDL), pp. 527–538.
VLDBVLDB-2006-AgarwalXYY #query
Scalable Continuous Query Processing by Tracking Hotspots (PKA, JX, JY, HY), pp. 31–42.
VLDBVLDB-2006-ChenLSDC #database #image #named #query #semantic gap
HISA: A Query System Bridging The Semantic Gap For Large Image Databases (GC, XL, LS, JD, CC), pp. 1187–1190.
VLDBVLDB-2006-HokeSF #clustering #monitoring #named
InteMon: Intelligent System Monitoring on Large Clusters (EH, JS, CF), pp. 1239–1242.
VLDBVLDB-2006-Keogh #database #mining
A Decade of Progress in Indexing and Mining Large Time Series Databases (EJK), p. 1268.
VLDBVLDB-2006-RodriguesTTFL #graph #interactive #mining #named #visualisation
GMine: A System for Scalable, Interactive Graph Visualization and Mining (JFRJ, HT, AJMT, CF, JL), pp. 1195–1198.
VLDBVLDB-2006-SismanisBHR #named #performance
GORDIAN: Efficient and Scalable Discovery of Composite Keys (YS, PB, PJH, BR), pp. 691–702.
ITiCSEITiCSE-2006-GriswoldS #learning #performance #ubiquitous
Ubiquitous presenter: fast, scalable active learning for the whole classroom (WGG, BS), p. 358.
ITiCSEITiCSE-2006-Pargas #process #student
Reducing lecture and increasing student activity in large computer science courses (RPP), pp. 3–7.
ITiCSEITiCSE-2006-Pullen #distance #education
Scaling up a distance education program in computer science (JMP), pp. 33–37.
CSMRCSMR-2006-SalahMAP #dynamic analysis
Scenario-Driven Dynamic Analysis for Comprehending Large Software Systems (MS, SM, GA, MDP), pp. 71–80.
CSMRCSMR-2006-Zaidman #comprehension #dynamic analysis
Scalability Solutions for Program Comprehension through Dynamic Analysis (AZ), pp. 327–330.
ICPCICPC-2006-Hamou-LhadjL #behaviour #comprehension
Summarizing the Content of Large Traces to Facilitate the Understanding of the Behaviour of a Software System (AHL, TCL), pp. 181–190.
ICSMEICSM-2006-Alexander #challenge #maintenance #on the
On the Challenges of Maintaining Large-Scale Software Systems at Lockheed Martin (LDA), p. 2.
ICSMEICSM-2006-KontogiannisLW #comprehension #maintenance #multi
Comprehension and Maintenance of Large-Scale Multi-Language Software Applications (KK, PKL, KW), pp. 497–500.
MSRMSR-2006-AskariH #evaluation #modelling #predict
Information theoretic evaluation of change prediction models for large-scale software (MA, RCH), pp. 126–132.
MSRMSR-2006-RoblesGMA #evolution #mining
Mining large software compilations over time: another perspective of software evolution (GR, JMGB, MM, JJA), pp. 3–9.
WCREWCRE-2006-FischerG #analysis #approach #lightweight #named
EvoGraph: A Lightweight Approach to Evolutionary and Structural Analysis of Large Software Systems (MF, HG), pp. 179–188.
AIIDEAIIDE-2006-MadeiraCR #adaptation #design #game studies
Designing a Reinforcement Learning-based Adaptive AI for Large-Scale Strategy Games (CAGM, VC, GLR), pp. 121–123.
CHICHI-2006-KamvarB #behaviour #case study #mobile
A large scale study of wireless search behavior: Google mobile search (MK, SB), pp. 701–709.
CHICHI-2006-WangWDW #visualisation
Visualization of large hierarchical data by circle packing (WW, H(W, GD, HW), pp. 517–520.
CSCWCSCW-2006-WilsonGF #collaboration
Not all sharing is equal: the impact of a large display on small group collaborative work (SMW, JG, JF), pp. 25–28.
SOFTVISSOFTVIS-2006-Jucknath-JohnG #evolution #graph #modelling #visualisation
Icon graphs: visualizing the evolution of large class models (SJJ, DG), pp. 167–168.
ICEISICEIS-AIDSS-2006-JacquenetLU #approach #performance
Efficient Management of Non Redundant Rules in Large Pattern Bases: A Bitmap Approach (FJ, CL, CU), pp. 208–215.
ICEISICEIS-DISI-2006-ChakrabortySN #database
Scalable Update Propagation in Partially Replicated, Disconnected Client Server Databases (LC, AS, KN), pp. 11–21.
ICEISICEIS-ISAS-2006-DubinskyHTK #agile #analysis #design #development
System Analysis and Design in a Large-Scale Software Project: The Case of Transition to Agile Development (YD, OH, DT, AK), pp. 11–18.
CIKMCIKM-2006-ZhuangZLC #database #interactive #towards
Towards interactive indexing for large Chinese calligraphic character databases (YZ, YZ, QL, LC), pp. 884–885.
ECIRECIR-2006-BernsteinC #performance #sequence
Fast Discovery of Similar Sequences in Large Genomic Collections (YB, MC), pp. 432–443.
ECIRECIR-2006-KarbasiB #documentation #effectiveness #normalisation #using
Document Length Normalization Using Effective Level of Term Frequency in Large Collections (SK, MB), pp. 72–83.
ICMLICML-2006-CollobertSWB
Trading convexity for scalability (RC, FHS, JW, LB), pp. 201–208.
ICPRICPR-v1-2006-AsharafM #clustering #using
Scalable non-linear Support Vector Machine using hierarchical clustering (SA, MNM), pp. 908–911.
ICPRICPR-v2-2006-SungZL #learning #set
Accelerating the SVM Learning for Very Large Data Sets (ES, YZ, XL), pp. 484–489.
ICPRICPR-v2-2006-YangN #recognition #set
Layered Search Spaces for Accelerating Large Set Character Recognition (YY, MN), pp. 1006–1009.
ICPRICPR-v2-2006-YuW #algorithm #clustering #named #realtime #set
GCA: A real-time grid-based clustering algorithm for large data set (ZY, HSW), pp. 740–743.
ICPRICPR-v3-2006-FelsbergG #dataset #multi #named #robust
P-Channels: Robust Multivariate M-Estimation of Large Datasets (MF, GHG), pp. 262–267.
ICPRICPR-v3-2006-YaoYLJ #algorithm #realtime #recognition
Real Time Large Vocabulary Continuous Sign Language Recognition Based on OP/Viterbi Algorithm (GY, HY, XL, FJ), pp. 312–315.
ICPRICPR-v3-2006-ZhuW #ranking
Scalable Representative Instance Selection and Ranking (XZ, XW), pp. 352–355.
ICPRICPR-v4-2006-SekoSHMK #image #lens #quote
“Firefly capturing method”: Motion capturing by monocular camera with large spherical aberration of lens and Hough-transform-based image processing (YS, YS, HH, JM, HK), pp. 821–824.
ICPRICPR-v4-2006-Yang06a #multi #reduction
Locally Multidimensional Scaling for Nonlinear Dimensionality Reduction (LY), pp. 202–205.
KDDKDD-2006-BackstromHKL #evolution #network #social
Group formation in large social networks: membership, growth, and evolution (LB, DPH, JMK, XL), pp. 44–54.
KDDKDD-2006-LeskovecF #graph
Sampling from large graphs (JL, CF), pp. 631–636.
KDDKDD-2006-NathBM #approach #classification #clustering #using
Clustering based large margin classification: a scalable approach using SOCP formulation (JSN, CB, MNM), pp. 674–679.
KDDKDD-2006-TaoXZ #database #metric #mining
Mining distance-based outliers from large databases in any metric space (YT, XX, SZ), pp. 394–403.
KDDKDD-2006-WedigM #analysis #personalisation #query
A large-scale analysis of query logs for assessing personalization opportunities (SW, OM), pp. 742–747.
KDDKDD-2006-ZengWZK #clique #database #graph
Coherent closed quasi-clique discovery from large dense graph databases (ZZ, JW, LZ, GK), pp. 797–802.
SIGIRSIGIR-2006-ButtcherCL06a #ad hoc #proximity #retrieval
Term proximity scoring for ad-hoc retrieval on very large text collections (SB, CLAC, BL), pp. 621–622.
SIGIRSIGIR-2006-CanKBKOV #information retrieval
First large-scale information retrieval experiments on turkish texts (FC, SK, EB, CK, HCO, OMV), pp. 627–628.
SIGIRSIGIR-2006-DiazM #corpus #estimation #modelling #using
Improving the estimation of relevance models using large external corpora (FD, DM), pp. 154–161.
SIGIRSIGIR-2006-Henzinger #algorithm #evaluation #web
Finding near-duplicate web pages: a large-scale evaluation of algorithms (MRH), pp. 284–291.
SIGIRSIGIR-2006-ShenCST #automation #database #identification #music #performance #towards
Towards efficient automated singer identification in large music databases (JS, BC, JS, KLT), pp. 59–66.
SIGIRSIGIR-2006-SindhwaniK #linear
Large scale semi-supervised linear SVMs (VS, SSK), pp. 477–484.
ECOOPECOOP-2006-HajiyevVM #datalog #named #query #source code
codeQuest: Scalable Source Code Queries with Datalog (EH, MV, OdM), pp. 2–27.
OOPSLAOOPSLA-2006-NystromQM #composition
J&: nested intersection for scalable software composition (NN, XQ, ACM), pp. 21–36.
PLDIPLDI-2006-BartonCAZFCA #memory management #programming
Shared memory programming for large scale machines (CB, CC, GA, YZ, MF, SC, JNA), pp. 108–117.
PLDIPLDI-2006-ChenLKI #energy
Reducing NoC energy consumption through compiler-directed channel voltage scaling (GC, FL, MTK, MJI), pp. 193–203.
RERE-2006-BorgPS #capacity #requirements
Good Practice and Improvement Model of Handling Capacity Requirements of Large Telecommunication Systems (AB, MP, KS), pp. 240–245.
ASEASE-2006-GrossK #automation
Automated Information Aggregation for Scaling Scale-Resistant Services (PG, GEK), pp. 15–24.
ASEASE-2006-Hall #named
LSS: A Tool for Large Scale Scenarios (RJH), pp. 349–350.
ASEASE-2006-MancinelliBCVDLT #complexity #open source
Managing the Complexity of Large Free and Open Source Package-Based Software Distributions (FM, JB, RDC, JV, BD, XL, RT), pp. 199–208.
FSEFSE-2006-LoK #mining #named #robust #specification #towards
SMArTIC: towards building an accurate, robust and scalable specification miner (DL, SCK), pp. 265–275.
ICSEICSE-2006-DubocRW #analysis #framework #modelling
A framework for modelling and analysis of software systems scalability (LD, DSR, TW), pp. 949–952.
ICSEICSE-2006-Holmes #reuse #using
Unanticipated reuse of large-scale software features (RH), pp. 961–964.
ICSEICSE-2006-KitchenhamKJC #analysis #database #lessons learnt
Lessons learnt from the analysis of large-scale corporate databases (BK, CK, DRJ, CC), pp. 439–444.
ICSEICSE-2006-OgasawaraIM #approach #development #process
Practical approach to development of SPI activities in a large organization: Toshiba’s SPI history since 2000 (HO, TI, TM), pp. 595–599.
SACSAC-2006-AbidinP #classification #data mining #mining #named #nearest neighbour #performance
SMART-TV: a fast and scalable nearest neighbor based classifier for data mining (TA, WP), pp. 536–540.
SACSAC-2006-Chang #embedded #scheduling
Event-driven scheduling for dynamic workload scaling in uniprocessor embedded systems (LPC), pp. 1462–1466.
SACSAC-2006-ChengCW #analysis #composition #named
ARCATS: a scalable compositional analysis tool suite (YPC, YRC, HYW), pp. 1852–1853.
SACSAC-2006-ChenYL #detection
Template detection for large scale search engines (LC, SY, XL), pp. 1094–1098.
SACSAC-2006-GeraciPPS #algorithm #clustering #web
A scalable algorithm for high-quality clustering of web snippets (FG, MP, PP, FS), pp. 1058–1062.
SACSAC-2006-HazelTVW #approach #named
TerraCost: a versatile and scalable approach to computing least-cost-path surfaces for massive grid-based terrains (TH, LT, JV, RW), pp. 52–57.
SACSAC-2006-HeDZ #estimation #grid #modelling #parametricity
Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling (KH, SD, LZ), pp. 741–745.
SACSAC-2006-KotsovinosW #named #trust
BambooTrust: practical scalable trust management for global public computing (EK, AW), pp. 1893–1897.
SACSAC-2006-LiuHVY #feedback #performance
Efficient target search with relevance feedback for large CBIR systems (DL, KAH, KV, NY), pp. 1393–1397.
SACSAC-2006-PaluPHL #3d #approach #constraints #logic programming
A constraint logic programming approach to 3D structure determination of large protein complexes (ADP, EP, JH, YL), pp. 131–136.
SACSAC-2006-RouguiRAGM #documentation #modelling #retrieval #set
Hierarchical organization of a set of Gaussian mixture speaker models for scaling up indexing and retrieval in audio documents (JER, MR, DA, MG, JMM), pp. 1369–1373.
SACSAC-2006-SicardPH #replication
J2EE server scalability through EJB replication (SS, NDP, DH), pp. 778–785.
CCCC-2006-RountevKM #analysis #data flow #interprocedural #library
Interprocedural Dataflow Analysis in the Presence of Large Libraries (AR, SK, TJM), pp. 2–16.
DACDAC-2006-CarmonaC #encoding
State encoding of large asynchronous controllers (JC, JC), pp. 939–944.
DACDAC-2006-GhantaVBP #analysis #correlation #power management #probability
Stochastic variational analysis of large power grids considering intra-die correlations (PG, SBKV, SB, RP), pp. 211–216.
DACDAC-2006-HuangG #embedded
Leakage-aware intraprogram voltage scaling for embedded processors (PKH, SG), pp. 364–369.
DACDAC-2006-IyengarGT #flexibility
A flexible and scalable methodology for GHz-speed structural test (VI, GG, MT), pp. 314–319.
DACDAC-2006-NakamuraTOTY #design
Budgeting-free hierarchical design method for large scale and high-performance LSIs (YN, MT, TO, ST, KY), pp. 955–958.
DACDAC-2006-PandeyG #communication #constraints #statistics #synthesis
Statistical on-chip communication bus synthesis and voltage scaling under timing yield constraint (SP, MG), pp. 663–668.
DACDAC-2006-WaghmodeLS
Buffer insertion in large circuits with constructive solution search techniques (MW, ZL, WS), pp. 296–301.
DACDAC-2006-YangCGJ #algorithm #matrix #parallel #rank
A parallel low-rank multilevel matrix compression algorithm for parasitic extraction of electrically large structures (CY, SC, DG, VJ), pp. 1053–1056.
DACDAC-2006-ZhangMBC #detection #representation #satisfiability #simulation #symmetry #using
Symmetry detection for large Boolean functions using circuit representation, simulation, and satisfiability (JSZ, AM, RKB, MCJ), pp. 510–515.
DATEDATE-2006-Albrecht #incremental #latency #performance #scheduling
Efficient incremental clock latency scheduling for large circuits (CA), pp. 1091–1096.
DATEDATE-2006-HuangG06a #adaptation #compilation #embedded #power management
Power-aware compilation for embedded processors with dynamic voltage scaling and adaptive body biasing capabilities (PKH, SG), pp. 943–944.
DATEDATE-2006-MaC #embedded #energy #multi #platform #realtime #trade-off
Scalable performance-energy trade-off exploration of embedded real-time systems on multiprocessor platforms (ZM, FC), pp. 1073–1078.
DATEDATE-2006-TanjiWKA #analysis #using
Large scale RLC circuit analysis using RLCG-MNA formulation (YT, TW, HK, HA), pp. 45–46.
DATEDATE-2006-ZhouSMS #analysis #composition #grid #power management #using
Large power grid analysis using domain decomposition (QZ, KS, KM, DCS), pp. 27–32.
HPCAHPCA-2006-SubramaniamL #dependence #memory management #predict #scheduling
Store vectors for scalable memory dependence prediction and scheduling (SS, GHL), pp. 65–76.
HPDCHPDC-2006-ChungH #automation #case study #performance #source code #using
A Case Study Using Automatic Performance Tuning for Large-Scale Scientific Programs (IHC, JKH), pp. 45–56.
HPDCHPDC-2006-DobberMK #effectiveness #grid #predict
Effective Prediction of Job Processing Times in a Large-Scale Grid Environment (MD, RDvdM, GK), pp. 359–360.
HPDCHPDC-2006-KeeYCC #distributed #resource management #robust
Robust Resource Allocation for Large-scale Distributed Shared Resource Environments (YSK, KY, AAC, HC), pp. 341–342.
HPDCHPDC-2006-LiuB #question
Is Unmetered, Scalable Computation Worth the Price? (HL, MB), pp. 353–354.
HPDCHPDC-2006-MerrerKM #case study #comparative #estimation #network
Peer to peer size estimation in large and dynamic networks: A comparative study (ELM, AMK, LM), pp. 7–17.
HPDCHPDC-2006-ZhangHXY #named #physics #runtime
PARM: Physics Aware Runtime Manager for Large-scale Scientific and Engineering Applications (YZ, SH, JX, JY), pp. 363–364.
ISMMISMM-2006-HudsonSAH #memory management #named #transaction
McRT-Malloc: a scalable transactional memory allocator (RLH, BS, ARAT, BH), pp. 74–83.
ISMMISMM-2006-SchneiderAN #memory management #parallel #thread
Scalable locality-conscious multithreaded memory allocation (SS, CDA, DSN), pp. 84–94.
LCTESLCTES-2006-ChenK #scheduling
Procrastination for leakage-aware rate-monotonic scheduling on a dynamic voltage scaling processor (JJC, TWK), pp. 153–162.
LCTESLCTES-2006-PandeyW #component #constraints #named
BOTS: a constraint-based component system for synthesizing scalable software systems (RP, JW), pp. 189–198.
OSDIOSDI-2006-WeilBMLM #distributed #file system #named
Ceph: A Scalable, High-Performance Distributed File System (SAW, SAB, ELM, DDEL, CM), pp. 307–320.
PDPPDP-2006-Chapman #memory management #parallel #programming #question
Scalable Shared Memory Parallel Programming: Will One Size Fit All? (BMC), p. 3.
PDPPDP-2006-NiksereshtG #distributed #learning #multi #performance #retrieval
Fast Decentralized Learning of a Gaussian Mixture Model for Large-Scale Multimedia Retrieval (AN, MG), pp. 373–379.
PPoPPPPoPP-2006-SchererLS
Scalable synchronous queues (WNSI, DL, MLS), pp. 147–156.
PPoPPPPoPP-2006-SharapovKDCR #case study #estimation #parallel #performance #top-down
A case study in top-down performance estimation for a large-scale parallel application (IS, RK, GD, RC, MR), pp. 81–89.
FASEFASE-2006-HickeyN #design #process
: Designing a Scalable Build Process (JH, AN), pp. 63–78.
IJCARIJCAR-2006-GregoireT #composition #functional #library
A Purely Functional Library for Modular Arithmetic and Its Application to Certifying Large Prime Numbers (BG, LT), pp. 423–437.
ICSTSAT-2006-DershowitzHN #algorithm #satisfiability
A Scalable Algorithm for Minimal Unsatisfiable Core Extraction (ND, ZH, AN), pp. 36–41.
CBSECBSE-2005-LanHMWMZC #architecture #component #deployment
Architecture Based Deployment of Large-Scale Component Based Systems: The Tool and Principles (LL, GH, LM, MW, HM, LZ, YC), pp. 123–138.
HTHT-2005-Rafiei
Bulk loading large collections of hyperlinked resources (DR), pp. 267–269.
ICDARICDAR-2005-LiuMK #classification #feature model #recognition #set #using
Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction (CLL, RM, MK), pp. 846–850.
ICDARICDAR-2005-Schambach #performance #recognition #word
Fast Script Word Recognition with Very Large Vocabulary (MPS), pp. 9–13.
ICDARICDAR-2005-WattX #recognition #set
Recognition for Large Sets of Handwritten Mathematical Symbols (SMW, XX), pp. 740–744.
JCDLJCDL-2005-OnLKM #ambiguity #case study #comparative #framework #problem #using
Comparative study of name disambiguation problem using a scalable blocking-based framework (BWO, DL, JK, PM), pp. 344–353.
SIGMODSIGMOD-2005-LeeOH #database #graph #named #video
STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases (JL, JHO, SH), pp. 718–729.
SIGMODSIGMOD-2005-ShenZH #database #effectiveness #sequence #towards #video
Towards Effective Indexing for Very Large Video Sequence Database (HTS, BCO, XZ), pp. 730–741.
SIGMODSIGMOD-2005-WangWZSPYH #database #graph #named
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications (WW, CW, YZ, BS, JP, XY, JH), pp. 879–881.
VLDBVLDB-2005-ChoC #approach #network #performance #query
An Efficient and Scalable Approach to CNN Queries in a Road Network (HJC, CWC), pp. 865–876.
VLDBVLDB-2005-FaginKKNST #database #implementation #multi #performance
Efficient Implementation of Large-Scale Multi-Structural Databases (RF, PGK, RK, JN, DS, AT), pp. 958–969.
VLDBVLDB-2005-FuKLR #query
Scaling and Time Warping in Time Series Querying (AWCF, EJK, LYHL, C(R), pp. 649–660.
VLDBVLDB-2005-GibsonKT #graph
Discovering Large Dense Subgraphs in Massive Graphs (DG, RK, AT), pp. 721–732.
VLDBVLDB-2005-GodfreySG #set
Maximal Vector Computation in Large Data Sets (PG, RS, JG), pp. 229–240.
VLDBVLDB-2005-JinL #estimation #fuzzy #set #string
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets (LJ, CL), pp. 397–408.
VLDBVLDB-2005-KwonRML #documentation #named #xml
FiST: Scalable XML Document Filtering by Sequencing Twig Patterns (JK, PR, BM, SL), pp. 217–228.
VLDBVLDB-2005-PoessO #database #grid
Large Scale Data Warehouses on Grid: Oracle Database 10g and HP ProLiant Systems (MP, RON), pp. 1055–1066.
CSEETCSEET-2005-NavarroH05a #design #how #prototype #student
Scaling up: How Thirty-two Students Collaborated and Succeeded in Developing a Prototype Software Design Environment (EON, AvdH), pp. 155–162.
ICSMEICSM-2005-Bollin #composition #maintenance #specification
Maintaining Formal Specifications — Decomposition of Large Z-Specifications (AB), pp. 443–452.
ICSMEICSM-2005-YuDMA #evolution
Reducing Build Time through Precompilations for Evolving Large Software (YY, HDF, JM, PA), pp. 59–68.
MSRMSR-2005-OhbaG #concept #identifier #keyword #mining #towards
Toward mining “concept keywords” from identifiers in large software projects (MO, KG), pp. 11–15.
WCREWCRE-2005-AndreopoulosATW #clustering #multi
Multiple Layer Clustering of Large Software Systems (BA, AA, VT, XW), pp. 79–88.
WCREWCRE-2005-SpoonS #higher-order #navigation #semantics
Semantic Navigation of Large Code Bases in Higher-Order, Dynamically Typed Languages (SAS, OS), pp. 219–228.
CIAACIAA-2005-AbdullaDKN #automaton #nondeterminism
Minimization of Non-deterministic Automata with Large Alphabets (PAA, JD, LK, MN), pp. 31–42.
AIIDEAIIDE-2005-Kallmann #interactive
Scalable Solutions for Interactive Virtual Humans that Can Manipulate Objects (MK), pp. 69–75.
DiGRADiGRA-2005-GilTR #architecture #case study #experience #game studies #multi #online
Architecting Scalability for Massively Multiplayer Online Gaming Experiences (RG, JT, LR).
CHICHI-2005-BirnholtzFHB #ad hoc #chat #distributed #lightweight
Grounding needs: achieving common ground via lightweight chat in large, distributed, ad-hoc groups (JPB, TAF, DBH, SJB), pp. 21–30.
CHICHI-2005-KhanMFK #named
Spotlight: directing users’ attention on large displays (AK, JM, GWF, GK), pp. 791–798.
EDOCEDOC-2005-IzzaVB #enterprise #integration #ontology #semantics
Ontology Urbanization for Semantic Integration: Dealing with Semantics within Large and Dynamic Enterprises (SI, LV, PB), pp. 83–94.
ICEISICEIS-v1-2005-XuePQZ #database #hybrid #string
The Hybrid Digital Tree: A New Indexing Technique for Large String Databases (QX, SP, GQ, QZ), pp. 115–121.
ICEISICEIS-v2-2005-DoP #dataset #mining #visualisation
Mining Very Large Datasets with SVM and Visualization (TND, FP), pp. 127–141.
ICEISICEIS-v2-2005-NixFM #correlation #multi
Anatomy of a Secure and Scalable Multiagent System for Event Capture and Correlation (TN, KF, FM), pp. 233–238.
ICEISICEIS-v4-2005-GruszczynskiLMMNOSS #education #experience #information management
Building a Large-Scale Information System for the Education Sector: A Project Experience (PG, BL, MM, CM, KN, SO, MS, AS), pp. 145–150.
CIKMCIKM-2005-FengAAS #query #ranking
Scalable ranking for preference queries (YF, DA, AEA, AKS), pp. 313–314.
CIKMCIKM-2005-JeonCL
Finding similar questions in large question and answer archives (JJ, WBC, JHL), pp. 84–90.
CIKMCIKM-2005-MullerEH #network #retrieval #summary
Scalable summary based retrieval in P2P networks (WM, ME, AH), pp. 586–593.
ECIRECIR-2005-ImafouoB #modelling #retrieval
Scalability Influence on Retrieval Models: An Experimental Methodology (AI, MB), pp. 388–402.
ICMLICML-2005-DaumeM #approximate #learning #optimisation #predict
Learning as search optimization: approximate large margin methods for structured prediction (HDI, DM), pp. 169–176.
ICMLICML-2005-SonnenburgRS #classification #sequence
Large scale genomic sequence SVM classifiers (SS, GR, BS), pp. 848–855.
ICMLICML-2005-TaskarCKG #approach #learning #modelling #predict
Learning structured prediction models: a large margin approach (BT, VC, DK, CG), pp. 896–903.
ICMLICML-2005-TsangKL #problem
Core Vector Regression for very large regression problems (IWT, JTK, KTL), pp. 912–919.
ICMLICML-2005-WuSB #classification
Building Sparse Large Margin Classifiers (MW, BS, GHB), pp. 996–1003.
ICMLICML-2005-ZhuL #graph #induction #learning #modelling
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning (XZ, JDL), pp. 1052–1059.
ICMLICML-2005-ZienC
Large margin non-linear embedding (AZ, JQC), pp. 1060–1067.
KDDKDD-2005-CareniniNZ #email
Scalable discovery of hidden emails from large folders (GC, RTN, XZ), pp. 544–549.
KDDKDD-2005-FormanEC #documentation #repository
Finding similar files in large document repositories (GF, KE, SC), pp. 394–400.
KDDKDD-2005-Momma #kernel #performance
Efficient computations via scalable sparse kernel partial least squares and boosted latent features (MM), pp. 654–659.
KDDKDD-2005-SpertusSB #metric #network #similarity #social
Evaluating similarity measures: a large-scale study in the orkut social network (ES, MS, OB), pp. 678–684.
MLDMMLDM-2005-Boulle #category theory
A Grouping Method for Categorical Attributes Having Very Large Number of Values (MB), pp. 228–242.
MLDMMLDM-2005-KinoshenkoMYV #database #image #retrieval
Hierarchical Partitions for Content Image Retrieval from Large-Scale Database (DK, VM, EY, VV), pp. 445–455.
MLDMMLDM-2005-SiaL #clustering #dataset #using
Clustering Large Dynamic Datasets Using Exemplar Points (WS, MML), pp. 163–173.
SIGIRSIGIR-2005-FergusonSGW #retrieval #set #using
Top subset retrieval on large collections using sorted indices (PF, AFS, CG, PW), pp. 599–600.
SIGIRSIGIR-2005-TrieschniggK #approach #detection #topic
Scalable hierarchical topic detection: exploring a sample based approach (DT, WK), pp. 655–656.
SIGIRSIGIR-2005-TuulosPT #email #information retrieval #multi
Multi-faceted information retrieval system for large scale email archives (VHT, JP, HT), p. 683.
SIGIRSIGIR-2005-XueLYXZYC #clustering #collaboration #using
Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
MODELSMoDELS-2005-BakerLW #case study #industrial #modelling
Model-Driven Engineering in a Large Industrial Context — Motorola Case Study (PB, SL, FW), pp. 476–491.
MODELSMoDELS-2005-GrayLZNGNG #named
Replicators: Transformations to Address Model Scalability (JGG, YL, JZ, SN, ASG, SN, SSG), pp. 295–308.
MODELSMoDELS-2005-MarichK #development #lessons learnt #migration #modelling
Invited Presentation I: Lessons Learned, New Directions, and Migration Plans for Model-Driven Development of Large Scale Software Based Systems (MJM, HFK), p. 397.
MODELSMoDELS-2005-MasticolaBH #architecture #estimation #modelling
Model-Based Scalability Estimation in Inception-Phase Software Architecture (SPM, ABB, MH), pp. 355–366.
MODELSMoDELS-2005-BakerLW #case study #industrial #modelling
Model-Driven Engineering in a Large Industrial Context — Motorola Case Study (PB, SL, FW), pp. 476–491.
MODELSMoDELS-2005-GrayLZNGNG #named
Replicators: Transformations to Address Model Scalability (JGG, YL, JZ, SN, ASG, SN, SSG), pp. 295–308.
MODELSMoDELS-2005-MarichK #development #lessons learnt #migration #modelling
Invited Presentation I: Lessons Learned, New Directions, and Migration Plans for Model-Driven Development of Large Scale Software Based Systems (MJM, HFK), p. 397.
MODELSMoDELS-2005-MasticolaBH #architecture #estimation #modelling
Model-Based Scalability Estimation in Inception-Phase Software Architecture (SPM, ABB, MH), pp. 355–366.
OOPSLAOOPSLA-2005-OderskyZ #abstraction #component
Scalable component abstractions (MO, MZ), pp. 41–57.
PLDIPLDI-2005-LiblitNZAJ #debugging #statistics
Scalable statistical bug isolation (BL, MN, AXZ, AA, MIJ), pp. 15–26.
POPLPOPL-2005-XieA #detection #fault #satisfiability #using
Scalable error detection using boolean satisfiability (YX, AA), pp. 351–363.
SASSAS-2005-KodumalA #analysis #constraints #named #tool support
Banshee: A Scalable Constraint-Based Analysis Toolkit (JK, AA), pp. 218–234.
RERE-2005-AvesaniBPS #machine learning #requirements
Facing Scalability Issues in Requirements Prioritization with Machine Learning Techniques (PA, CB, AP, AS), pp. 297–306.
RERE-2005-BittnerBPRW #requirements #reuse #using #variability
Managing Variability and Reuse of Features and Requirements for Large and Complex Organizational Structures (MB, AB, AP, MOR, MW), pp. 469–470.
ASEASE-2005-LangelierSP #analysis #quality #visualisation
Visualization-based analysis of quality for large-scale software systems (GL, HAS, PP), pp. 214–223.
ASEASE-2005-Swartout #lessons learnt
Virtual humans: lessons learned in integrating a large-scale AI project (WRS), p. 2.
ESEC-FSEESEC-FSE-2005-EstublierV #reuse #variability
Reuse and variability in large software applications (JE, GV), pp. 316–325.
ESEC-FSEESEC-FSE-2005-LiZ #automation #detection #named #programming
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code (ZL, YZ), pp. 306–315.
ICSEICSE-2005-MohagheghiAC #case study #development #estimation #incremental
Effort estimation of use cases for incremental large-scale software development (PM, BA, RC), pp. 303–311.
SACSAC-2005-Eliassi-RadC #approach #hybrid #modelling #multi
A hybrid approach for multiresolution modeling of large-scale scientific data (TER, TC), pp. 511–518.
SACSAC-2005-GriecoMS #named
SEcS: scalable edge-computing services (RG, DM, VS), pp. 1709–1713.
SACSAC-2005-Khurana #security
Scalable security and accounting services for content-based publish/subscribe systems (HK), pp. 801–807.
SACSAC-2005-MonemizadehS #multi #network
The necklace-hypercube: a well scalable hypercube-based interconnection network for multiprocessors (MM, HSA), pp. 729–733.
SACSAC-2005-Rosso #analysis #framework #message passing #paradigm #performance
Performance analysis framework for large software-intensive systems with a message passing paradigm (CDR), pp. 885–889.
SACSAC-2005-VogiazouEDK #community #game studies
From buddyspace to CitiTag: large-scale symbolic presence for community building and spontaneous play (YV, ME, MD, JK), pp. 1600–1606.
SACSAC-2005-WernertL #database #flexibility #named #visualisation
PViN: a scalable and flexible system for visualizing pedigree databases (EAW, JL), pp. 115–122.
SACSAC-2005-XuMY #concept #database #information management #mining
Mining concept associations for knowledge discovery in large textual databases (XX, MM, NY), pp. 549–550.
GPCEGPCE-2005-SiekL #library #requirements
Language Requirements for Large-Scale Generic Libraries (JGS, AL), pp. 405–421.
CASECASE-2005-NajmabadiGE #automation
A scalable robotic-based laboratory automation system for medium-sized biotechnology laboratories (PN, AAG, AE), pp. 166–171.
DACDAC-2005-AziziKDN #design #power management
Variations-aware low-power design with voltage scaling (NA, MMK, VD, FNN), pp. 529–534.
DACDAC-2005-IranliP #named
DTM: dynamic tone mapping for backlight scaling (AI, MP), pp. 612–617.
DACDAC-2005-Rossi #design #formal method #question #verification
Can we really do without the support of formal methods in the verification of large designs? (UR), pp. 672–673.
DACDAC-2005-TiwaryR #megamodelling #on-demand
Scalable trajectory methods for on-demand analog macromodel extraction (SKT, RAR), pp. 403–408.
DACDAC-2005-TomL #clustering #design #logic
Logic block clustering of large designs for channel-width constrained FPGAs (MT, GGL), pp. 726–731.
DACDAC-2005-YanZJ #interactive #latency
User-perceived latency driven voltage scaling for interactive applications (LY, LZ, NKJ), pp. 624–627.
DACDAC-2005-Zhu #analysis #pointer #towards
Towards scalable flow and context sensitive pointer analysis (JZ), pp. 831–836.
DATEDATE-2005-AndreiSEPH #constraints #energy
Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints (AA, MTS, PE, ZP, BMAH), pp. 514–519.
DATEDATE-2005-EeckhautDSCS #video
A Hardware-Friendly Wavelet Entropy Codec for Scalable Video (HE, HD, BS, MC, DS), pp. 14–19.
DATEDATE-2005-IranliFP #named
HEBS: Histogram Equalization for Backlight Scaling (AI, HF, MP), pp. 346–351.
DATEDATE-2005-StuijkBMG #data type #multi #predict
Predictable Embedding of Large Data Structures in Multiprocessor Networks-on-Chip (SS, TB, BM, MG), pp. 254–255.
DATEDATE-2005-VandersteenLJRP #framework #modelling
Estimating Scalable Common-Denominator Laplace-Domain MIMO Models in an Errors-in-Variables Framework (GV, LDL, SJ, YR, RP), pp. 1076–1081.
HPCAHPCA-2005-DuatoJFNGF #effectiveness #multi #network
A New Scalable and Cost-Effective Congestion Management Strategy for Lossless Multistage Interconnection Networks (JD, IJ, JF, FN, PJG, TNF), pp. 108–119.
HPDCHPDC-2005-ChenCTAC #resource management
DHT overlay schemes for scalable p-range resource discovery (LC, KSC, JT, DA, DC), pp. 297–298.
HPDCHPDC-2005-SacerdotiKP
411 on scalable password service (FDS, MJK, PMP), pp. 211–221.
LCTESLCTES-2005-StaschulatE #analysis #precise #scheduling
Scalable precision cache analysis for preemptive scheduling (JS, RE), pp. 157–165.
LCTESLCTES-2005-ZhuM #feedback #scheduling
Feedback EDF scheduling exploiting hardware-assisted asynchronous dynamic voltage scaling (YZ, FM), pp. 203–212.
PPoPPPPoPP-2005-ShachamSS #information management #model checking #using
Scaling model checking of dataraces using dynamic information (OS, MS, AS), pp. 107–118.
SOSPSOSP-2005-VrableMCMVSVS
Scalability, fidelity, and containment in the potemkin virtual honeyfarm (MV, JM, JC, DM, EV, ACS, GMV, SS), pp. 148–162.
STOCSTOC-2005-AwerbuchAE
Large the price of routing unsplittable flow (BA, YA, AE), pp. 57–66.
TACASTACAS-2005-GanaiGA #framework #model checking #named #platform #satisfiability #verification
DiVer: SAT-Based Model Checking Platform for Verifying Large Scale Systems (MKG, AG, PA), pp. 575–580.
ICLPICLP-2005-GallagherHB #analysis
Techniques for Scaling Up Analyses Based on Pre-interpretations (JPG, KSH, GB), pp. 280–296.
ICSTSAT-2005-SheiniS #integer #linear #logic #satisfiability
A Scalable Method for Solving Satisfiability of Integer Linear Arithmetic Logic (HMS, KAS), pp. 241–256.
VMCAIVMCAI-2005-AttieC #concurrent #source code
Efficiently Verifiable Conditions for Deadlock-Freedom of Large Concurrent Programs (PCA, HC), pp. 465–481.
VMCAIVMCAI-2005-SankaranarayananSM #analysis #linear #programming #using
Scalable Analysis of Linear Systems Using Mathematical Programming (SS, HBS, ZM), pp. 25–41.
WICSAWICSA-2004-MattmannCHKR #architecture #data-driven #distributed
Software Architecture for Large-Scale, Distributed, Data-Intensive Systems (CM, DJC, JSH, SCK, PMR), pp. 255–276.
TPDLECDL-2004-FrankeG #automation #documentation #random #set #strict
Automated Indexing with Restricted Random Walks on Large Document Sets (MF, AGS), pp. 232–243.
JCDLJCDL-2004-EfronEMZ #architecture #machine learning
Machine learning for information architecture in a large governmental website (ME, JLE, GM, JZ), pp. 151–159.
SIGMODSIGMOD-2004-AndritsosMT #database #mining #set #tool support
Information-Theoretic Tools for Mining Database Structure from Large Data Sets (PA, RJM, PT), pp. 731–742.
SIGMODSIGMOD-2004-JermainePA #maintenance #online #random
Online Maintenance of Very Large Random Samples (CJ, AP, SA), pp. 299–310.
SIGMODSIGMOD-2004-MokbelXA #database #incremental #named #query
SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases (MFM, XX, WGA), pp. 623–634.
SIGMODSIGMOD-2004-RosenthalW #research #security #state of the art
Security of Shared Data in Large Systems: State of the Art and Research Directions (AR, MW), pp. 962–964.
SIGMODSIGMOD-2004-TianDPRMM #database #implementation #relational #using #xml
Implementing a Scalable XML Publish/Subscribe System Using a Relational Database System (FT, BR, HP, TM, JM), pp. 479–490.
VLDBVLDB-2004-Cha
P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload (SKC, CS), pp. 1033–1044.
VLDBVLDB-2004-CrescenziMMM #automation #web
An Automatic Data Grabber for Large Web Sites (VC, GM, PM, PM), pp. 1321–1324.
VLDBVLDB-2004-HalaschekAAS #ranking #rdf #semantics
Discovering and Ranking Semantic Associations over a Large RDF Metabase (CHW, BAM, IBA, APS), pp. 1317–1320.
VLDBVLDB-2004-JohnsonKCKV #matrix #order #using
Compressing Large Boolean Matrices using Reordering Techniques (DSJ, SK, JC, SK, SV), pp. 13–23.
VLDBVLDB-2004-KoudasMS #database #flexibility #string
Flexible String Matching Against Large Databases in Practice (NK, AM, DS), pp. 1078–1086.
VLDBVLDB-2004-PalpanasCGKZ #database
Indexing Large Human-Motion Databases (EJK, TP, VBZ, DG, MC), pp. 780–791.
VLDBVLDB-2004-RosenthalW #research #security #state of the art
Security of Shared Data in Large Systems: State of the Art and Research Directions (AR, MW), p. 1242.
VLDBVLDB-2004-ZhuR #consistency #data flow #probability
Stochastic Consistency, and Scalable Pull-Based Caching for Erratic Data Sources (SZ, CVR), pp. 192–203.
ITiCSEITiCSE-2004-RosslingBM #interactive
Interaction support in large-scale lectures (GR, HB, MM), p. 244.
ITiCSEITiCSE-2004-ThomasM #database #education #research #using
Use of large databases for group projects at the nexus of teaching and research (RCT, RM), pp. 161–165.
CSMRCSMR-2004-Pizka #adaptation #case study #experience #open source
Adaptation of Large-Scale Open Source Software — An Experience Report (MP), pp. 147–153.
CSMRCSMR-2004-WangSYHM #legacy
Business Rules Extraction from Large Legacy Systems (XW, JS, XY, ZH, SRM), pp. 249–253.
ICSMEICSM-2004-RaghavanRLPA #difference #named #semantics
Dex: A Semantic-Graph Differencing Tool for Studying Changes in Large Code Bases (SR, RR, DL, AP, VA), pp. 188–197.
ICSMEICSM-2004-ZhaoZHMS #algorithm #feature model
Alternative Scalable Algorithms for Lattice-Based Feature Location (WZ, LZ, DH, HM, JS), p. 528.
ICALPICALP-2004-FeigeO #random
Easily Refutable Subformulas of Large Random 3CNF Formulas (UF, EO), pp. 519–530.
ICALPICALP-2004-NikoletseasRS #graph #independence #performance #random #set
The Existence and Efficient Construction of Large Independent Sets in General Random Intersection Graphs (SEN, CR, PGS), pp. 1029–1040.
CHICHI-2004-HuangRS #interactive
IM here: public instant messaging on large, shared displays for workgroup interactions (EMH, DMR, AES), pp. 279–286.
CHICHI-2004-JiangHTL #prototype #ubiquitous
Ubiquitous computing for firefighters: field studies and prototypes of large displays for incident command (XJ, JIH, LT, JAL), pp. 679–686.
CHICHI-2004-LampeR #distributed #online
Slash(dot) and burn: distributed moderation in a large online conversation space (CL, PR), pp. 543–550.
CHICHI-2004-McGee #estimation #metric #usability
Master usability scaling: magnitude estimation and master scaling applied to usability measurement (MM), pp. 335–342.
CHICHI-2004-NakanishiKII #communication
Transcendent communication: location-based guidance for large-scale public spaces (HN, SK, TI, HI), pp. 655–662.
CHICHI-2004-TanGSP #3d #integration #navigation
Physically large displays improve path integration in 3D virtual navigation tasks (DST, DG, PS, RP), pp. 439–446.
CSCWCSCW-2004-DaveWM #navigation #online
Flash forums and forumReader: navigating a new kind of large-scale online discussion (KD, MW, MJM), pp. 232–241.
CSCWCSCW-2004-HalversonEA #evolution #information management
Behind the help desk: evolution of a knowledge management system in a large organization (CH, TE, MSA), pp. 304–313.
ICEISICEIS-v1-2004-CavalieriDFR #middleware
A Middleware for the Management of Large Utilities Plants (SC, FD, CF, AR), pp. 99–104.
ICEISICEIS-v1-2004-FuZ #data type #memory management
Memory Management for Large Scale Data Stream Recorders (KF, RZ), pp. 54–63.
ICEISICEIS-v1-2004-Lyytinen #analysis #functional #requirements #source code
Large Scale Requirements Engineering in Action: An Ethnographic Analysis of Functional and Political Ecologies in Situ in Space Mission Programs (KL), p. V.
ICEISICEIS-v2-2004-HansennePSW #design #fuzzy #implementation
Design and Implementation of a Scalable Fuzzy Case-Based Matching Engine (RH, JVP, VVdS, BVdW), pp. 375–382.
ICEISICEIS-v3-2004-Mirbel #development #information management #polymorphism #process
A Polymorphic Context Frame to Support Scalability and Evolvability of Information System Development Processes (IM), pp. 131–138.
ICEISICEIS-v4-2004-ShawA #intranet
Developing an Intranet and Extranet Business Application for a Large Travel Agent (RS, AA), pp. 411–420.
CIKMCIKM-2004-ChenL #clustering #dataset #named #visualisation
ClusterMap: labeling clusters in large datasets via visualization (KC, LL), pp. 285–293.
CIKMCIKM-2004-WangXY #biology #mining #sequence
Scalable sequential pattern mining for biological sequences (KW, YX, JXY), pp. 178–187.
ICMLICML-2004-DekelKS #classification
Large margin hierarchical classification (OD, JK, YS).
ICMLICML-2004-GoldenbergM #learning
Tractable learning of large Bayes net structures from sparse data (AG, AWM).
ICMLICML-2004-HuangYKL #classification #learning
Learning large margin classifiers locally and globally (KH, HY, IK, MRL).
ICMLICML-2004-Zhang #algorithm #linear #predict #probability #problem #using
Solving large scale linear prediction problems using stochastic gradient descent algorithms (TZ0).
ICPRICPR-v1-2004-ColemanSH #design
A Systematic Design Procedure for Scalable Near-Circular Laplacian of Gaussian Operators (SAC, BWS, MGH), pp. 700–703.
ICPRICPR-v1-2004-PetrosinoV #algorithm #clustering #fuzzy #named #parallel
P-AFLC: A Parallel Scalable Fuzzy Clustering Algorithm (AP, MV), pp. 809–812.
ICPRICPR-v1-2004-WredeBSPV #framework #integration
Integration Frameworks for Large Scale Cognitive Vision Systems — An Evaluative Study (SW, CB, GS, WP, MV), pp. 761–764.
ICPRICPR-v1-2004-Zhao #video
Super-Resolving Compressed Video with Large Artifacts (WYZ), pp. 516–519.
ICPRICPR-v2-2004-FarmerBJ #feature model #random #using
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing (MEF, SB, AKJ), pp. 287–290.
ICPRICPR-v3-2004-AdeodatoVASCM #case study #comparative #network #set
Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set (PJLA, GCV, ALA, RAFS, RCLVC, DSMPM), pp. 355–358.
ICPRICPR-v3-2004-GrossK #mobile #probability #robust #self
Robust Omniview-based Probabilistic Self-Localization for Mobile Robots in Large Maze-like Environments (HMG, AK), pp. 266–269.
ICPRICPR-v3-2004-YuanTR #performance #robust #video
Fast and Robust Search Method for Short Video Clips from Large Video Collection (JY, QT, SR), pp. 866–869.
ICPRICPR-v4-2004-HeidemannBBS #clustering #gesture #recognition #self #set #user interface #visual notation
Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets (GH, HB, IB, AS), pp. 487–490.
ICPRICPR-v4-2004-OrWCI #re-engineering
Large Scene Reconstruction with Local Details Recovery (SHO, KhW, MMYC, CYI), pp. 44–47.
KDDKDD-2004-ChengYH #database #incremental #mining #named
IncSpan: incremental mining of sequential patterns in large database (HC, XY, JH), pp. 527–532.
KDDKDD-2004-GilburdSW #distributed #named #privacy
k-TTP: a new privacy model for large-scale distributed environments (BG, AS, RW), pp. 563–568.
KDDKDD-2004-LazarevicKK #detection #effectiveness #locality
Effective localized regression for damage detection in large complex mechanical structures (AL, RK, CK), pp. 450–459.
KDDKDD-2004-WangWPZS #database #graph #mining
Scalable mining of large disk-based graph databases (CW, WW, JP, YZ, BS), pp. 316–325.
SIGIRSIGIR-2004-AmitayCLS #evaluation #set #using
Scaling IR-system evaluation using term relevance sets (EA, DC, RL, AS), pp. 10–17.
SIGIRSIGIR-2004-BeitzelJCGF #analysis #query #topic #web
Hourly analysis of a very large topically categorized web query log (SMB, ECJ, AC, DAG, OF), pp. 321–328.
SIGIRSIGIR-2004-TangDX #on the #peer-to-peer #semantics
On scaling latent semantic indexing for large peer-to-peer systems (CT, SD, ZX), pp. 112–121.
ECOOPECOOP-2004-AmmonsCGS #performance
Finding and Removing Performance Bottlenecks in Large Systems (GA, JDC, MG, NS), pp. 170–194.
ECOOPECOOP-2004-SpoonS #precise #type inference
Demand-Driven Type Inference with Subgoal Pruning: Trading Precision for Scalability (SAS, OS), pp. 51–74.
OOPSLAOOPSLA-2004-NystromCM #inheritance
Scalable extensibility via nested inheritance (NN, SC, ACM), pp. 99–115.
PLDIPLDI-2004-Michael #memory management
Scalable lock-free dynamic memory allocation (MMM), pp. 35–46.
PLDIPLDI-2004-VenetB #array #bound #c #embedded #performance #precise #source code
Precise and efficient static array bound checking for large embedded C programs (AV, GPB), pp. 231–242.
SASSAS-2004-Venet #analysis #embedded #pointer #source code
A Scalable Nonuniform Pointer Analysis for Embedded Programs (AV), pp. 149–164.
ASEASE-2004-CaiGH #automation #case study #experience #generative #open source #performance
Experiences Integrating and Scaling a Performance Test Bed Generator with an Open Source CASE Tool (YC, JCG, JGH), pp. 36–45.
ASEASE-2004-RauschmayerKW #consistency #framework #generative
Consistency Checking in an Infrastructure for Large-Scale Generative (AR, AK, MW), pp. 238–247.
ASEASE-2004-SampathMSP #approach #concept analysis #testing #web
Scalable Approach to User-Session based Testing of Web Applications through Concept Analysis (SS, VM, ALS, LLP), pp. 132–141.
FSEFSE-2004-OrsoSH #testing
Scaling regression testing to large software systems (AO, NS, MJH), pp. 241–251.
ICSEICSE-2004-BaxterPM #evolution #program transformation
DMS®: Program Transformations for Practical Scalable Software Evolution (IDB, CWP, MM), pp. 625–634.
ICSEICSE-2004-Berenbach #analysis #design #evaluation #uml
The Evaluation of Large, Complex UML Analysis and Design Model (BB), pp. 232–241.
ICSEICSE-2004-Foster #community #distributed #grid
Grid Small and Large: Distributed Systems and Global Communities (ITF), p. 27.
ICSEICSE-2004-GrechanikBP #design
Design of Large-Scale Polylingual Systems (MG, DSB, DEP), pp. 357–366.
SACSAC-2004-ChangK #performance
An efficient management scheme for large-scale flash-memory storage systems (LPC, TWK), pp. 862–868.
SACSAC-2004-MengC #analysis
Bio-sequence analysis with cradle’s 3SoCTM software scalable system on chip (XM, VC), pp. 202–206.
SACSAC-2004-SciascioDM #documentation #knowledge base #retrieval
A knowledge based system for content-based retrieval of Scalable Vector Graphics documents (EDS, FMD, MM), pp. 1040–1044.
SACSAC-2004-StamatakisLM #performance
A fast program for maximum likelihood-based inference of large phylogenetic trees (AS, TL, HM), pp. 197–201.
SACSAC-2004-SundellT #concurrent
Scalable and lock-free concurrent dictionaries (HS, PT), pp. 1438–1445.
GPCEGPCE-2004-GrayZLRWSGNSB #framework #modelling #program transformation
Model-Driven Program Transformation of a Large Avionics Framework (JGG, JZ, YL, SR, HW, RS, ASG, SN, FS, TB), pp. 361–378.
ASPLOSASPLOS-2004-DesikanSBK #architecture
Scalable selective re-execution for EDGE architectures (RD, SS, DB, SWK), pp. 120–132.
CGOCGO-2004-MoonLHCLSL #framework #named
SYZYGY — A Framework for Scalable Cross-Module IPO (SM, XDL, RH, DRC, LAL, US, SML), pp. 65–74.
DACDAC-2004-BhattacharyaJHS #design
Correct-by-construction layout-centric retargeting of large analog designs (SB, NJ, RH, CJRS), pp. 139–144.
DACDAC-2004-ChoiSP
Off-chip latency-driven dynamic voltage and frequency scaling for an MPEG decoding (KC, RS, MP), pp. 544–549.
DACDAC-2004-HanBBCJ #architecture #data transfer #distributed #flexibility #memory management #multi #performance
An efficient scalable and flexible data transfer architecture for multiprocessor SoC with massive distributed memory (SIH, AB, MB, SIC, AAJ), pp. 250–255.
DACDAC-2004-JejurikarPG #embedded #realtime
Leakage aware dynamic voltage scaling for real-time embedded systems (RJ, CP, RKG), pp. 275–280.
DACDAC-2004-KapurL #simulation
Large-scale full-wave simulation (SK, DEL), pp. 806–809.
DACDAC-2004-TanGQ #analysis #approach
Hierarchical approach to exact symbolic analysis of large analog circuits (SXDT, WG, ZQ), pp. 860–863.
DACDAC-2004-WohlWP #architecture
Scalable selector architecture for x-tolerant deterministic BIST (PW, JAW, SP), pp. 934–939.
DACDAC-2004-XiuMFR
Large-scale placement by grid-warping (ZX, JDZM, SMF, RAR), pp. 351–356.
DACDAC-2004-ZhaiBSF
Theoretical and practical limits of dynamic voltage scaling (BZ, DB, DS, KF), pp. 868–873.
DACDAC-2004-ZhaoBD #analysis
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits (CZ, XB, SD), pp. 894–899.
DATEDATE-DF-2004-CoccoDHHH #architecture
A Scalable Architecture for LDPC Decodin (MC, JD, MJMH, AH, JH), pp. 88–95.
DATEDATE-DF-2004-FlautnerFRP #energy #named #performance
IEM926: An Energy Efficient SoC with Dynamic Voltage Scaling (KF, DF, DR, DIP), pp. 324–329.
DATEDATE-DF-2004-QuaxHM #configuration management #implementation
A Scalable Implementation of a Reconfigurable WCDMA Rake Receiver (MQ, JH, JLvM), pp. 230–235.
DATEDATE-v1-2004-BabighianBM #algorithm
A Scalable ODC-Based Algorithm for RTL Insertion of Gated Clocks (PB, LB, EM), pp. 500–505.
DATEDATE-v1-2004-CatthoorCMGLMSW #design #how #problem #question
How Can System-Level Design Solve the Interconnect Technology Scaling Problem? (FC, AC, GM, PG, RL, KM, PvdS, RW), pp. 332–339.
DATEDATE-v1-2004-ChengHP #concurrent #power management
Power Minimization in a Backlit TFT-LCD Display by Concurrent Brightness and Contrast Scaling (WCC, YH, MP), pp. 252–259.
DATEDATE-v1-2004-ChoiSP #energy #fine-grained #performance #precise #trade-off
Fine-Grained Dynamic Voltage and Frequency Scaling for Precise Energy and Performance Trade-Off Based on the Ratio of Off-Chip Access to On-Chip Computation Times (KC, RS, MP), pp. 4–9.
DATEDATE-v1-2004-GarciaMSN
A Direct Bootstrapped CMOS Large Capacitive-Load Driver Circuit (JCG, JAMN, JS, HN), pp. 680–681.
DATEDATE-v1-2004-TanQL #modelling #simulation
Hierarchical Modeling and Simulation of Large Analog Circuits (SXDT, ZQ, HL), pp. 740–741.
DATEDATE-v2-2004-Feldmann #linear #order #reduction
Model Order Reduction Techniques for Linear Systems with Large Numbers of Terminals (PF), pp. 944–947.
DATEDATE-v2-2004-ZhangC #analysis #embedded #fault tolerance #realtime
Task Feasibility Analysis and Dynamic Voltage Scaling in Fault-Tolerant Real-Time Embedded Systems (YZ, KC), pp. 1170–1175.
HPDCHPDC-2004-ChervenakPBKS #performance
Performance and Scalability of a Replica Location Service (ALC, NP, SB, CK, RS), pp. 182–191.
HPDCHPDC-2004-XinMS #distributed #evaluation
Evaluation of Distributed Recovery in Large-Scale Storage Systems (QX, ELM, TJES), pp. 172–181.
LCTESLCTES-2004-ImH #multi #realtime #scheduling #using
Dynamic voltage scaling for real-time multi-task scheduling using buffers (CI, SH), pp. 88–94.
OSDIOSDI-2004-DeanG #clustering #named #pipes and filters
MapReduce: Simplified Data Processing on Large Clusters (JD, SG), pp. 137–150.
PDPPDP-2004-AvreskyVM #network
Dynamically Scaling System Area Networks (DRA, YV, MM), pp. 22–27.
PDPPDP-2004-GourgoulisTKW #clustering #simulation
Creating Scalable Traffic Simulation on Clusters (AG, GT, PK, SCW), pp. 60–65.
TACASTACAS-2004-LeueMW #bound #modelling #uml
A Scalable Incomplete Test for the Boundedness of UML RT Models (SL, RM, WW), pp. 327–341.
TPDLECDL-2003-CandelaCP #library
A Service for Supporting Virtual Views of Large Heterogeneous Digital Libraries (LC, DC, PP), pp. 362–373.
ICDARICDAR-2003-BooseSB #interactive
A Scalable Solution for Integrating Illustrated Parts Drawings into a Class IV Interactive Electronic Technical Manual (MLB, DBS, LSB), pp. 309–313.
ICDARICDAR-2003-VelekN #classification #online #performance #recognition #set
Enhancing Efficiency and Speed of an Off-line Classifier Employed for On-line Handwriting Recognition of a Large Character Set (OV, MN), pp. 784–788.
ICDARICDAR-2003-VinciarelliBB #recognition
Offline Recognition of Large Vocabulary Cursive Handwritten Text (AV, SB, HB), p. 1101–?.
ICDARICDAR-2003-YangVN #recognition #set #using
Accelerating Large Character Set Recognition using Pivots (YY, OV, MN), pp. 262–267.
SIGMODSIGMOD-2003-BornhovdAKMPR #architecture #database #named
DBCache: Middle-tier Database Caching for Highly Scalable e-Business Architectures (CB, MA, SK, CM, HP, BR), p. 662.
SIGMODSIGMOD-2003-ShenNSHS #database #image #named #novel #performance #reduction
CMVF: A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database (JS, AHHN, JS, DQH, QZS), p. 657.
VLDBVLDB-2003-Baumann #standard #web
Large-Scale, Standards-Based Earth Observation Imagery and Web Mapping Services (PB), pp. 1141–1144.
VLDBVLDB-2003-GalanisWJD #data flow #distributed
Locating Data Sources in Large Distributed Systems (LG, YW, SRJ, DJD), pp. 874–885.
VLDBVLDB-2003-LinLYZ #dataset #multi
Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets (XL, QL, YY, XZ), pp. 814–825.
VLDBVLDB-2003-LiPHCAAT #web
CachePortal II: Acceleration of Very Large Scale Data Center-Hosted Database-driven Web Applications (WSL, OP, WPH, KSC, DA, YA, KT), pp. 1109–1112.
VLDBVLDB-2003-LongS #execution #query
Optimized Query Execution in Large Search Engines with Global Page Ordering (XL, TS), pp. 129–140.
ITiCSEITiCSE-2003-LassCBCPHZ #off the shelf #tool support #using
Tools and techniques for large scale grading using Web-based commercial off-the-shelf software (RNL, CDC, NTB, BWC, JLP, NH, PZ), pp. 168–172.
ICSMEICSM-2003-BinkleyH #context-sensitive grammar #empirical #slicing
A Large-Scale Empirical Study of Forward and Backward Static Slice Size and Context Sensitivity (DB, MH), pp. 44–53.
IWPCIWPC-2003-ChanHMY #execution #object-oriented #visualisation
Scaling an Object-Oriented System Execution Visualizer through Sampling (AC, RH, GCM, ATTY), pp. 237–244.
IWPCIWPC-2003-NiereWW #reverse engineering
Handling Large Search Space in Pattern-Based Reverse Engineering (JN, JPW, LW), pp. 274–280.
SCAMSCAM-2003-BinkleyH #algorithm #analysis #graph #optimisation #performance #reachability #source code
Results from a Large-Scale Study of Performance Optimization Techniques for Source Code Analyses Based on Graph Reachability Algorithms (DB, MH), p. 203–?.
WCREWCRE-2003-Clermont #source code #spreadsheet
Analyzing Large Spreadsheet Programs (MC), pp. 306–315.
DLTDLT-2003-Plandowski #product line #testing
Test Sets for Large Families of Languages (WP), pp. 75–94.
RTARTA-2003-Eker #commutative
Associative-Commutative Rewriting on Large Terms (SE), pp. 14–29.
CHICHI-2003-GutwinS
Fisheyes are good for large steering tasks (CG, AS), pp. 201–208.
VISSOFTVISSOFT-2003-BrittleB #named #self #visualisation
GENISOM: Self-Organizing Maps Applied in Visualising Large Software Collections (JB, CB), pp. 60–61.
VISSOFTVISSOFT-2003-BrittleB1 #self #visualisation
Self-Organizing Maps Applied in Visualising Large Software Collections (JB, CB), pp. 104–109.
VISSOFTVISSOFT-2003-FavreSE #architecture #component
Exploring the Many Architectures of a Very Large Component-Based Software (JMF, RS, JE), pp. 46–47.
VISSOFTVISSOFT-2003-FavreSE1 #architecture #component
Exploring the Many Architectures of a Very Large Component-Based Software (JMF, RS, JE), pp. 46–53.
CAiSECAiSE-2003-GalanisWJD #peer-to-peer #query
Processing Queries in a Large Peer-to-Peer System (LG, YW, SRJ, DJD), pp. 273–288.
CAiSECAiSE-2003-Rusinkiewicz #information management #self #towards
Towards Self-Managing Large Scale Information Systems (MR), p. 1.
EDOCEDOC-2003-GortonACHH #performance
An Efficient, Scalable Content-Based Messaging System (IG, JA, NC, JH, MH), pp. 278–287.
ICEISICEIS-v1-2003-ChengTKRWYH #approach #e-commerce #enterprise #integration #modelling
A Model-Driven Approach for Item Synchronization and Uccnet Integration in Large E-Commerce Enterprise Systems (SC, MT, SK, AR, FYW, YY, YH), pp. 128–135.
ICEISICEIS-v1-2003-SatoUUSM #distributed #information retrieval #intranet
A Scalable Distributed Search Engine for Intranet Information Retrieval (NS, MU, MU, YS, HM), pp. 562–565.
ICEISICEIS-v1-2003-WangH #database
Scanning a Large Database Once to Mine Association Rules (FW, NH), pp. 421–429.
ICEISICEIS-v1-2003-ZimmermannFK #data type #design
Design of a Large Scale Data Stream Recorder (RZ, KF, WSK), pp. 156–168.
ICEISICEIS-v2-2003-BenninghoffN #distributed #monitoring
Scaling Up Information Updates in Distributed Condition Monitoring (PB, SN), pp. 132–139.
ICEISICEIS-v2-2003-DoP #algorithm #dataset #mining
Mining Very Large Datasets with Support Vector Machine Algorithms (TND, FP), pp. 140–147.
ICEISICEIS-v4-2003-KoideNKGM #using
Operation-Support System for Large-Scale System Using Information Technology (SK, HN, YK, AG, RM), pp. 430–437.
ICEISICEIS-v4-2003-Lopez-LopezT #approach #information management #web
A Dynamic and Scalable Agent-Based Approach for Knowledge Discovery : Web Site Exploration (ALL, AMT), pp. 451–454.
ICEISICEIS-v4-2003-MajS #flexibility #identification
Scalable and Flexible Electronic Identification (SPM, DTS), pp. 335–339.
CIKMCIKM-2003-BaldwinAC #modelling #multi #simulation
Multi-resolution modeling of large scale scientific simulation data (CB, GA, TC), pp. 40–48.
CIKMCIKM-2003-ChowdhuryP #requirements
Operational requirements for scalable search systems (AC, GP), pp. 435–442.
CIKMCIKM-2003-DeschlerR #documentation #multi #named #xml
MASS: a multi-axis storage structure for large XML documents (KWD, EAR), pp. 520–523.
ECIRECIR-2003-LosadaB #documentation #evaluation #logic #query
Propositional Logic Representations for Documents and Queries: A Large-Scale Evaluation (DEL, AB), pp. 219–234.
ICMLICML-2003-JinYZH #algorithm #exponential #performance
A Faster Iterative Scaling Algorithm for Conditional Exponential Model (RJ, RY, JZ, AGH), pp. 282–289.
ICMLICML-2003-PorterEHT #classification #order #statistics
Weighted Order Statistic Classifiers with Large Rank-Order Margin (RBP, DE, DRH, JT), pp. 600–607.
ICMLICML-2003-Zhang #kernel #learning #metric #multi #representation #towards
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation (ZZ), pp. 872–879.
ICMLICML-2003-ZhangJYH #approximate #categorisation
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization (JZ, RJ, YY, AGH), pp. 888–895.
ICMLICML-2003-ZhuWC #dataset
Eliminating Class Noise in Large Datasets (XZ, XW, QC), pp. 920–927.
KDDKDD-2003-El-HajjZ #dataset #interactive #matrix #mining #performance
Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining (MEH, ORZ), pp. 109–118.
KDDKDD-2003-HopcroftKKS #community #network
Natural communities in large linked networks (JEH, OK, BK, BS), pp. 541–546.
KDDKDD-2003-PeterCG #algorithm #clustering #dataset
New unsupervised clustering algorithm for large datasets (WP, JC, CG), pp. 643–648.
KDDKDD-2003-SahooORGMMVS #clustering #predict
Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
KDDKDD-2003-YuYH #clustering #set #using
Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
SEKESEKE-2003-ChenXCYZ #slicing #source code
Partial Slicing for Large Programs (ZC, BX, WCC, HY, JZ), pp. 204–207.
SIGIRSIGIR-2003-YangZK #analysis #categorisation #classification
A scalability analysis of classifiers in text categorization (YY, JZ, BK), pp. 96–103.
ECOOPECOOP-2003-MitchellS #automation #java #lightweight #memory management #named
LeakBot: An Automated and Lightweight Tool for Diagnosing Memory Leaks in Large Java Applications (NM, GS), pp. 351–377.
PLDIPLDI-2003-BlanchetCCFMMMR #safety
A static analyzer for large safety-critical software (BB, PC, RC, JF, LM, AM, DM, XR), pp. 196–207.
PLDIPLDI-2003-XieMM
Compile-time dynamic voltage scaling settings: opportunities and limits (FX, MM, SM), pp. 49–62.
AdaSIGAda-2003-AllaertCW #linux #migration
European air traffic flow management: porting a large application to GNU/linux (GA, DC, PW), pp. 29–37.
ESEC-FSEESEC-FSE-2003-ChengYHP #analysis #composition #design #modelling #refactoring #towards
Towards scalable compositional analysis by refactoring design models (YPC, MY, CLH, CYP), pp. 247–256.
ESEC-FSEESEC-FSE-2003-Dyba #empirical #process
Factors of software process improvement success in small and large organizations: an empirical study in the scandinavian context (TD), pp. 148–157.
ICSEICSE-2003-BatorySR #refinement
Scaling Step-Wise Refinement (DSB, JNS, AR), pp. 187–197.
ICSEICSE-2003-PrecheltH #architecture #co-evolution #component #experience
The Co-Evolution of a Hype and a Software Architecture: Experience of Component-Producing Large-Scale EJB Early Adopters (LP, DJH), pp. 553–556.
ICSEICSE-2003-ZageZ #analysis #fault #process
An Analysis of the Fault Correction Process in a Large-Scale SDL Production Model (DMZ, WMZ), pp. 570–577.
SACSAC-2003-MenezesT #approach
A New Approach to Scalable Linda-systems Based on Swarms (RM, RT), pp. 375–379.
SACSAC-2003-PascucciLFGSLH #monitoring #realtime #simulation
Real-Time Monitoring of Large Scientific Simulations (VP, DEL, RJF, FG, GS, LL, BH), pp. 194–198.
SACSAC-2003-TorrensHSF #named
reality: a Scalable Intelligent Travel Planner (MT, PH, LS, BF), pp. 623–630.
CCCC-2003-LhotakH #analysis #java #points-to #using
Scaling Java Points-to Analysis Using SPARK (OL, LJH), pp. 153–169.
DACDAC-2003-ChenRRD #programmable #self
A scalable software-based self-test methodology for programmable processors (LC, SR, AR, SD), pp. 548–553.
DACDAC-2003-LeeCHY #multi #using
Multilevel floorplanning/placement for large-scale modules using B*-trees (HCL, YWC, JMH, HHY), pp. 812–817.
DACDAC-2003-LiXC #architecture #modelling #optimisation #power management
Scalable modeling and optimization of mode transitions based on decoupled power management architecture (DL, QX, PHC), pp. 119–124.
DACDAC-2003-MishchenkoS #composition #functional #using
Large-scale SOP minimization using decomposition and functional properties (AM, TS), pp. 149–154.
DACDAC-2003-Schubert03a #challenge #distributed #functional #industrial #simulation
Improvements in functional simulation addressing challenges in large, distributed industry projects (KDS), pp. 11–14.
DACDAC-2003-TsaiDVI #reduction
Implications of technology scaling on leakage reduction techniques (YFT, DD, NV, MJI), pp. 187–190.
DATEDATE-2003-AdriahantenainaCGMZ #named
SPIN: A Scalable, Packet Switched, On-Chip Micro-Network (AA, HC, AG, LM, CAZ), pp. 20070–20073.
DATEDATE-2003-BastenBCLLMZ
Scaling into Ambient Intelligence (TB, LB, AC, ML, JL, RM, FZ), pp. 10076–10083.
DATEDATE-2003-IwasakiNNNYONTOIE #multi
Single-Chip MPEG-2 422P@HL CODEC LSI with Multi-Chip Configuration for Large Scale Processing beyond HDTV Level (HI, JN, KN, KN, TY, MO, YN, YT, TO, MI, ME), pp. 20002–20007.
DATEDATE-2003-LuoPJ #communication #distributed #embedded #realtime
Simultaneous Dynamic Voltage Scaling of Processors and Communication Links in Real-Time Distributed Embedded Systems (JL, LSP, NKJ), pp. 11150–11151.
HPCAHPCA-2003-KhailanyDRKOT
Exploring the VLSI Scalability of Stream Processors (BK, WJD, SR, UJK, JDO, BT), pp. 153–164.
HPCAHPCA-2003-MutluSWP #execution
Runahead Execution: An Alternative to Very Large Instruction Windows for Out-of-Order Processors (OM, JS, CW, YNP), pp. 129–140.
HPCAHPCA-2003-ShangPJ #network #optimisation
Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks (LS, LSP, NKJ), pp. 91–102.
PDPPDP-2003-Al-DubaiOM #3d #algorithm #network
A Scalable Plane-Based Broadcast Algorithm for 3D-Mesh Networks (AYAD, MOK, LMM), pp. 149–156.
PDPPDP-2003-BaldoniM #protocol
k-Dependency Vectors: A Scalable Causality-Tracking Protocol (RB, GM), pp. 219–226.
PDPPDP-2003-FahringerMRPVM #analysis #modelling #performance
Performance Modeling of Scientific Applications: Scalability Analysis of LAPW0 (TF, NM, MR, SP, UV, GM), pp. 5–12.
PDPPDP-2003-Marzolla #clustering #monitoring #performance
A Performance Monitoring System for Large Computing Clusters (MM), pp. 393–400.
PPoPPPPoPP-2003-Kazar #data mining #mining #performance
High performance spatial data mining for very large data-sets (BMK), p. 1.
SOSPSOSP-2003-BehrenCZNB #internet #named #thread
Capriccio: scalable threads for internet services (JRvB, JC, FZ, GCN, EAB), pp. 268–281.
TACASTACAS-2003-GrooteH #visualisation
Large State Space Visualization (JFG, FvH), pp. 585–590.
ICSTSAT-2003-Bruni #fault #satisfiability #set
Solving Error Correction for Large Data Sets by Means of a SAT Solver (RB), pp. 229–241.
ICSTSAT-2003-MneimnehS #graph
Computing Vertex Eccentricity in Exponentially Large Graphs: QBF Formulation and Solution (MNM, KAS), pp. 411–425.
JCDLJCDL-2002-GustmanSOBPRG
Supporting access to large digital oral history archives (SG, DS, DWO, WJB, MP, BR, DG), pp. 18–27.
SIGMODSIGMOD-2002-LuoEHN #algorithm
A scalable hash ripple join algorithm (GL, CJE, PJH, JFN), pp. 252–262.
SIGMODSIGMOD-2002-WangWYY #clustering #set #similarity
Clustering by pattern similarity in large data sets (HW, WW, JY, PSY), pp. 394–405.
VLDBVLDB-2002-ChanFFGR #xml
Tree Pattern Aggregation for Scalable XML Data Dissemination (CYC, WF, PF, MNG, RR), pp. 826–837.
VLDBVLDB-2002-LifantsevC #web
I/O-Conscious Data Preparation for Large-Scale Web Search Engines (ML, TcC), pp. 382–393.
VLDBVLDB-2002-StolteA #database #performance
Efficient Exploration of Large Scientific Databases (ES, GA), pp. 622–633.
VLDBVLDB-2002-ZellerK #case study #database #experience #optimisation
Experience Report: Exploiting Advanced Database Optimization Features for Large-Scale SAP R/3 Installations (BZ, AK), pp. 894–905.
CSEETCSEET-2002-RatcliffeWT #development #motivation #performance #re-engineering
Improving Motivation and Performance through Personal Development in Large Introductory Software Engineering Courses (MR, JW, LT), p. 108–?.
ICSMEICSM-2002-EisenbarthKS #incremental #source code
Incremental Location of Combined Features for Large-Scale Programs (TE, RK, DS), pp. 273–282.
ICSMEICSM-2002-Interesse #automation #component #maintenance #testing
Test Manager: The Test Automation Component for the Maintenance of Large-Scale Systems (MI), p. 284.
ICSMEICSM-2002-RotschkeK #analysis #architecture #evolution #industrial #tool support
Architecture Analysis Tools to Support Evolution of Large Industrial Systems (TR, RLK), pp. 182–191.
IWPCIWPC-2002-Hamou-LhadjL #analysis #execution
Compression Techniques to Simplify the Analysis of Large Execution Traces (AHL, TCL), pp. 159–168.
WCREWCRE-2002-DaoudiOHDHFW #approach #named #slicing
ConSUS: A Scalable Approach to Conditioned Slicing (MD, LO, JH, SD, MH, CF, MPW), pp. 109–118.
ICFPICFP-2002-CraryV #type system
An expressive, scalable type theory for certified code (KC, JV), pp. 191–205.
CHICHI-2002-LinTL #design #interactive #sketching #visual notation
A visual language for sketching large and complex interactive designs (JL, MT, JAL), pp. 307–314.
VISSOFTVISSOFT-2002-LewerentzS #3d #object-oriented #source code #visualisation
Metrics-Based 3D Visualization of Large Object-Oriented Programs (CL, FS), p. 70–?.
CIKMCIKM-2002-ChakrabartiF #automation #named #using
F4: large-scale automated forecasting using fractals (DC, CF), pp. 2–9.
CIKMCIKM-2002-Frieder #information retrieval #on the
On scalable information retrieval systems (OF), p. 1.
CIKMCIKM-2002-OrdonezO #clustering #named #performance #robust #set
FREM: fast and robust EM clustering for large data sets (CO, EO), pp. 590–599.
CIKMCIKM-2002-PeiHW #constraints #database #mining
Mining sequential patterns with constraints in large databases (JP, JH, WW), pp. 18–25.
CIKMCIKM-2002-SungZP #database #performance
A fast filtering scheme for large database cleansing (SYS, ZL, SP), pp. 76–83.
ICMLICML-2002-AberdeenB
Scalable Internal-State Policy-Gradient Methods for POMDPs (DA, JB), pp. 3–10.
ICMLICML-2002-MeyerB #speech #towards
Towards “Large Margin” Speech Recognizers by Boosting and Discriminative Training (CM, PB), pp. 419–426.
ICPRICPR-v2-2002-CarcassoniH #multi #using
Point-Set Alignment Using Multidimensional Scaling (MC, ERH), pp. 402–405.
ICPRICPR-v2-2002-RyazanovV #approach #automation #classification
Discrete Approach for Automatic Knowledge Extraction from Precedent Large-Scale Data, and Classification (VVR, VAV), pp. 188–191.
ICPRICPR-v3-2002-GeH #case study #comparative #modelling #recognition
A Comparative Study of Several Modeling Approaches for Large Vocabulary Offline Recognition of Handwritten Chinese Characters (YG, QH), pp. 85–88.
ICPRICPR-v3-2002-SebastianK #database #retrieval
Metric-Based Shape Retrieval in Large Databases (TBS, BBK), pp. 291–296.
ICPRICPR-v4-2002-ZhangR #clustering #kernel
A Large Scale Clustering Scheme for Kernel K-Means (RZ, AIR), pp. 289–292.
KDDKDD-2002-AlqallafKMZ #correlation #data mining #mining #robust
Scalable robust covariance and correlation estimates for data mining (FAA, KPK, RDM, RHZ), pp. 14–23.
KDDKDD-2002-CohenR #clustering #integration #learning #set
Learning to match and cluster large high-dimensional data sets for data integration (WWC, JR), pp. 475–480.
KDDKDD-2002-DobraG #algorithm #linear #named
SECRET: a scalable linear regression tree algorithm (AD, JG), pp. 481–487.
KDDKDD-2002-Frigui #approach #clustering #identification #named #performance #set
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets (HF), pp. 507–512.
KDDKDD-2002-GodboleSC #multi #using
Scaling multi-class support vector machines using inter-class confusion (SG, SS, SC), pp. 513–518.
KDDKDD-2002-HultenD #constant #database #mining #modelling
Mining complex models from arbitrarily large databases in constant time (GH, PMD), pp. 525–531.
KDDKDD-2002-PalmerGF #data mining #graph #mining #named #performance
ANF: a fast and scalable tool for data mining in massive graphs (CRP, PBG, CF), pp. 81–90.
KDDKDD-2002-TantrumMS #clustering #dataset #modelling
Hierarchical model-based clustering of large datasets through fractionation and refractionation (JT, AM, WS), pp. 183–190.
KDDKDD-2002-TuzhilinA #analysis #array
Handling very large numbers of association rules in the analysis of microarray data (AT, GA), pp. 396–404.
KDDKDD-2002-WuF #performance
Making every bit count: fast nonlinear axis scaling (LW, CF), pp. 664–669.
KRKR-2002-RandellW #axiom #composition
Building Large Composition Tables via Axiomatic Theories (DAR, MW), pp. 26–36.
SEKESEKE-2002-AbateB #approach #architecture #component #design
A scalable approach to the design of SW architectures with dynamically create/destroyed components (PA, MB), pp. 255–262.
SEKESEKE-2002-Wu #database #information management
Knowledge discovery in very large databases (XW), p. 15.
SIGIRSIGIR-2002-FengZP #approach #database #music #query
A hierarchical approach: query large music database by acoustic input (YF, YZ, YP), pp. 441–442.
OOPSLAOOPSLA-2002-CecchetMZ #performance
Performance and scalability of EJB applications (EC, JM, WZ), pp. 246–261.
POPLPOPL-2002-Manohar #design
Scalable formal design methods for asynchronous VLSI (RM), pp. 245–246.
AdaSIGAda-2002-CareyAW #ada #experience
The national ignition facility: early operational experience with a large Ada control system (RWC, PJVA, JPW), p. 11.
ASEASE-2002-VasconcelosSE #agile #approach #multi #prototype
An Approach to Rapid Prototyping of Large Multi-Agent Systems (WWV, CS, ME), pp. 13–22.
ASEASE-2002-VieiraR #component #dependence
Analyzing Dependencies in Large Component-Based Systems (MERV, DJR), pp. 241–244.
ICSEICSE-2002-AndersonSL #integration #towards
Towards large-scale information integration (KMA, SAS, WVL), pp. 524–534.
SACSAC-2002-Al-DubaiOM #network #towards
Towards a scalable broadcast in wormhole-switched mesh networks (AYAD, MOK, LMM), pp. 840–844.
SACSAC-2002-ChangJ #clustering #data mining #mining
A new cell-based clustering method for large, high-dimensional data in data mining applications (JWC, DSJ), pp. 503–507.
SACSAC-2002-Eubank #performance #simulation
Scalable, efficient epidemiological simulation (SE), pp. 139–145.
SACSAC-2002-ObreiterG #towards #tuple
Towards scalability in tuple spaces (PO, GG), pp. 344–350.
ASPLOSASPLOS-2002-SherwoodPHC #automation #behaviour
Automatically characterizing large scale program behavior (TS, EP, GH, BC), pp. 45–57.
DACDAC-2002-CadambiMA #functional #hardware #performance #simulation
A fast, inexpensive and scalable hardware acceleration technique for functional simulation (SC, CM, PA), pp. 570–575.
DACDAC-2002-ChelceaN #optimisation
Resynthesis and peephole transformations for the optimization of large-scale asynchronous systems (TC, SMN), pp. 405–410.
DACDAC-2002-Higuchi #detection #multi
An implication-based method to detect multi-cycle paths in large sequential circuits (HH), pp. 164–169.
DACDAC-2002-LiuSRC #data mining #design #megamodelling #mining
Remembrance of circuits past: macromodeling by data mining in large analog design spaces (HL, AS, RAR, LRC), pp. 437–442.
DACDAC-2002-RakhmatovVC
Battery-conscious task sequencing for portable devices including voltage/clock scaling (DNR, SBKV, CC), pp. 189–194.
DATEDATE-2002-IyengarCM #performance
Efficient Wrapper/TAM Co-Optimization for Large SOCs (VI, KC, EJM), pp. 491–498.
DATEDATE-2002-KimKM #algorithm #analysis #realtime #using
A Dynamic Voltage Scaling Algorithm for Dynamic-Priority Hard Real-Time Systems Using Slack Time Analysis (WK, JK, SLM), pp. 788–794.
DATEDATE-2002-KimR #power management #reduction
Dynamic VTH Scaling Scheme for Active Leakage Power Reduction (CHK, KR), pp. 163–167.
DATEDATE-2002-SassatelliTBGDCG #architecture #configuration management
Highly Scalable Dynamically Reconfigurable Systolic Ring-Architecture for DSP Applications (GS, LT, PB, TG, CD, GC, JG), pp. 553–558.
DATEDATE-2002-ZhengPBK #analysis #modelling
Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses (HZ, LTP, MWB, BK), pp. 628–633.
HPCAHPCA-2002-SemeraroMBADS #design #energy #multi #using
Energy-Efficient Processor Design Using Multiple Clock Domains with Dynamic Voltage and Frequency Scaling (GS, GM, RB, DHA, SD, MLS), pp. 29–42.
HPDCHPDC-2002-AllcockBBFGILP #behaviour #distributed #named #visualisation
GridMapper: A Tool for Visualizing the Behavior of Large-Scale Distributed Systems (WEA, JB, JB, ITF, JG, JAI, JML, MEP), pp. 179–187.
HPDCHPDC-2002-GuN #peer-to-peer
A Scalable QoS-Aware Service Aggregation Model for Peer-to-Peer Computing Grids (XG, KN), pp. 73–82.
HPDCHPDC-2002-WeeksHA #distributed #information retrieval
Scalability of a Distributed Neural Information Retrieval System (MW, VJH, JA), p. 423.
LCTESLCTES-SCOPES-2002-SaputraKVIHHK #compilation #energy
Energy-conscious compilation based on voltage scaling (HS, MTK, NV, MJI, JSH, CHH, UK), pp. 2–11.
OSDIOSDI-2002-VahdatYWMKCB #network
Scalability and Accuracy in a Large-Scale Network Emulator (AV, KY, KW, PM, DK, JSC, DB), pp. 271–284.
PDPPDP-2002-AugeratMS #clustering #monitoring #tool support
Scalable Monitoring and Configuration Tools for Grids and Clusters (PA, CM, BdOS), pp. 147–153.
TACASTACAS-2002-EmersonK #model checking #resource management
Model Checking Large-Scale and Parameterized Resource Allocation Systems (EAE, VK), pp. 251–265.
TACASTACAS-2002-GodefroidK #algorithm #search-based #using
Exploring Very Large State Spaces Using Genetic Algorithms (PG, SK), pp. 266–280.
CADECADE-2002-SchneckN #approach
A Gradual Approach to a More Trustworthy, Yet Scalable, Proof-Carrying Code (RRS, GCN), pp. 47–62.
ISSTAISSTA-2002-OstrandW #fault #industrial
The distirubtion of faults in a large industrial software system (TJO, EJW), pp. 55–64.
SATSAT-2002-MonassonC #algorithm #analysis #exponential #random #satisfiability
Restart method and exponential acceleration of random 3-SAT instances resolutions: A large deviation analysis of the Davis-Putnam-Loveland-Logemann algorithm (RM, SC), p. 11.
WICSAWICSA-2001-Laine #architecture #development #embedded #object-oriented #problem
The Role of SW Architectures in Solving Fundamental Problems in Object-Oriented Development of Large Embedded SW Systems (PKL), pp. 14–23.
DocEngDocEng-2001-McKechnieSL #case study #documentation #industrial #set
Computer assisted processing of large unstructured document sets: a case study in the construction industry (JM, SS, SL), pp. 11–17.
DocEngDocEng-2001-Wong #database #query #xml
The extended XQL for querying and updating large XML databases (RKW), pp. 95–104.
TPDLECDL-2001-PaynterW #documentation
A Combined Phrase and Thesaurus Browser for Large Document Collections (GWP, IHW), pp. 25–36.
ICDARICDAR-2001-KoerichSS #distributed #problem #recognition #word
A Distributed Scheme for Lexicon-Driven Handwritten Word Recognition and its Application to Large Vocabulary Problems (ALK, RS, CYS), pp. 660–664.
JCDLJCDL-2001-WangD #clustering #image #retrieval #statistics #using
Scalable integrated region-based image retrieval using IRM and statistical clustering (JZW, YD), pp. 268–277.
VLDBVLDB-2001-AbrolLMMMRTWZ #navigation
Navigating large-scale semi-structured data in business portals (MA, NL, UM, JM, RM, PR, MT, JW, GZ), pp. 663–666.
VLDBVLDB-2001-BlokWZPAKJ #flexibility #library
Flexible and scalable digital library search (HEB, MW, RvZ, MP, PMGA, MLK, WJ), pp. 705–706.
VLDBVLDB-2001-BratsbergH #database #online
Online Scaling in a Highly Available Database (SEB, RH), pp. 451–460.
VLDBVLDB-2001-HuntAI #biology #database #sequence
A Database Index to Large Biological Sequences (EH, MPA, RWI), pp. 139–148.
VLDBVLDB-2001-MargaritisFT #data mining #mining #named #performance
NetCube: A Scalable Tool for Fast Data Mining and Compression (DM, CF, ST), pp. 311–320.
VLDBVLDB-2001-MeccaCM #automation #named #towards #web
RoadRunner: Towards Automatic Data Extraction from Large Web Sites (VC, GM, PM), pp. 109–118.
VLDBVLDB-2001-TanSHCR #realtime
Walking Through a Very Large Virtual Environment in Real-time (LS, JC, ZH, YR, KLT), pp. 401–410.
VLDBVLDB-2001-VeltriCV #repository #xml
Views in a Large Scale XML Repository (SC, PV, DV), pp. 271–280.
CSEETCSEET-2001-Bothe #challenge #education #reverse engineering
Reverse Engineering: The Challenge of Large-Scale Real-World Educational Projects (KB), pp. 115–126.
CSMRCSMR-2001-BeszedesGSCG #c #maintenance #slicing #source code
Dynamic Slicing Method for Maintenance of Large C Programs (ÁB, TG, ZMS, JC, TG), pp. 105–113.
CSMRCSMR-2001-FavreDESA #component #reverse engineering
Reverse Engineering a Large Component-Based Software Product (JMF, FD, JE, RS, JJA), pp. 95–104.
CSMRCSMR-2001-Wendorff #assessment #design pattern #lessons learnt #re-engineering
Assessment of Design Patterns during Software Reengineering: Lessons Learned from a Large Commercial Project (PW), pp. 77–84.
ICSMEICSM-2001-AtkinsonG #analysis #data flow #implementation #performance #source code
Implementation Techniques for Efficient Data-Flow Analysis of Large Programs (DCA, WGG), pp. 52–61.
ICSMEICSM-2001-ContiniVBVT #effectiveness #maintenance #process
An Intranet-Based Application for Supporting Effective Maintenance Activities on Large Software Systems (MC, SdV, AB, TV, DT), p. 108.
IWPCIWPC-2001-BrilP #architecture #incremental #legacy #metric
An Architectural Connectivity Metric and Its Support for Incremental Re-Architecting of Large Legacy Systems (RJB, AP), pp. 269–280.
PASTEPASTE-2001-FlanaganF #detection #source code
Detecting race conditions in large programs (CF, SNF), pp. 90–96.
CIAACIAA-2001-GranaBA #automaton #compilation #finite
Compilation Methods of Minimal Acyclic Finite-State Automata for Large Dictionaries (JG, FMB, MAA), pp. 135–148.
FLOPSFLOPS-2001-Necula #architecture
A Scalable Architecture for Proof-Carrying Code (GCN), pp. 21–39.
CHICHI-2001-FoggMLOVFPRSST #web #what
What makes Web sites credible?: a report on a large quantitative study (BJF, JM, OL, AO, CV, NF, JP, AR, JS, PS, MT), pp. 61–68.
EDOCEDOC-2001-AnderssonJ #architecture #enterprise #integration
Architectural Integration Styles for Large-Scale Enterprise Software Systems (JA, PJ), pp. 224–236.
EDOCEDOC-2001-ArreguiPW #middleware #using
Addressing Scalability Issues Using the CLF Middleware (DA, FP, JW), pp. 93–104.
EDOCEDOC-2001-DunlopIR #enterprise #evolution #policy
Dynamic Policy Model for Large Evolving Enterprises (ND, JI, KR), p. 193–?.
EDOCEDOC-2001-Ensel #approach #automation #dependence #modelling
A Scalable Approach to Automated Service Dependency Modeling in Heterogeneous Environments (CE), pp. 128–139.
EDOCEDOC-2001-SuLLBS #enterprise #framework
An Information Infrastructure and E-Services for Supporting Internet-Based Scalable E-Business Enterprises (SYWS, HL, ML, SB, ZJMS), pp. 2–13.
ICEISICEIS-v1-2001-Deters #multi #towards
Towards Scalable Multi-Agent Systems (RD), pp. 497–504.
ICEISICEIS-v1-2001-GiachettiCS #enterprise #information management #towards
Toward Measuring the Scalability of Enterprise Information Systems (REG, CSC, OAS), pp. 24–28.
ICEISICEIS-v2-2001-Orozco-BarbosaT #design #evaluation #video
Design and Evaluation of Scalable Video Delivery Services Over Intranets (LOB, MT), pp. 1147–1154.
CIKMCIKM-2001-BargW #proximity
Structural Proximity Searching for Large Collections of Semi-Structured Data (MB, RKW), pp. 175–182.
CIKMCIKM-2001-YeeODN #database #maintenance #mobile
Scaling Replica Maintenance In Intermittently Synchronized Mobile Databases (WGY, EO, MJD, SBN), pp. 450–457.
ICMLICML-2001-DomeniconiG #approach #approximate #classification #dataset #multi #nearest neighbour #performance #query
An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets (CD, DG), pp. 98–105.
ICMLICML-2001-DomingosH #algorithm #clustering #machine learning
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering (PMD, GH), pp. 106–113.
ICMLICML-2001-StoneS #learning #towards
Scaling Reinforcement Learning toward RoboCup Soccer (PS, RSS), pp. 537–544.
KDDKDD-2001-BeygelzimerPM #category theory #dataset #performance #visualisation
Fast ordering of large categorical datasets for better visualization (AB, CSP, SM), pp. 239–244.
KDDKDD-2001-ChiuFCWJ #algorithm #clustering #database #robust
A robust and scalable clustering algorithm for mixed type attributes in large database environment (TC, DF, JC, YW, CJ), pp. 263–268.
KDDKDD-2001-DittrichS #algorithm #mining #named #set
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces (JPD, BS), pp. 47–56.
KDDKDD-2001-JinTH #database #mining
Mining top-n local outliers in large databases (WJ, AKHT, JH), pp. 293–298.
KDDKDD-2001-KeoghCP #approach #database #named
Ensemble-index: a new approach to indexing large databases (EJK, SC, MJP), pp. 117–125.
KDDKDD-2001-StreetK #algorithm #classification #streaming
A streaming ensemble algorithm (SEA) for large-scale classification (WNS, YK), pp. 377–382.
KDDKDD-2001-TrainaTPF #data mining #mining #multi #named #tool support
Tri-plots: scalable tools for multidimensional data mining (AJMT, CTJ, SP, CF), pp. 184–193.
KDDKDD-T-2001-HanLP #bibliography #mining #perspective
Scalable frequent-pattern mining methods: an overview (JH, LVSL, JP), pp. 264–324.
SIGIRSIGIR-2001-SaraivaMFMRZ
Rank-Preserving Two-Level Caching for Scalable Search Engines (PCS, ESdM, RCF, WMJ, BARN, NZ), pp. 51–58.
TOOLSTOOLS-EUROPE-2001-TranG #corba #transaction
Analyzing the Scalability of Transactional CORBA Applications (PT, IG), pp. 102–110.
TOOLSTOOLS-USA-2001-Arsanjani01c #adaptation #design #pattern matching
Rule Pattern Language 2001: A Pattern Language for Adaptive Manners and Scalable Business Rule Design and Construction (AA), pp. 370–376.
AdaEuropeAdaEurope-2001-WaroquiersVCHD #ada #migration
Migrating Large Applications from Ada83 to Ada95 (PW, SvV, DC, AH, ED), pp. 380–391.
SASSAS-2001-DasLFR #impact analysis #optimisation #pointer
Estimating the Impact of Scalable Pointer Analysis on Optimization (MD, BL, MF, JR), pp. 260–278.
ASEASE-2001-Egyed #approach #consistency
Scalable Consistency Checking Between Diagrams-The ViewIntegra Approach (AE), pp. 387–390.
ASEASE-2001-YeF #component #repository
Context-Aware Browsing of Large Component Repositories (YY, GF), pp. 99–106.
ICSEICSE-2001-BerstelCRP #automation #design #formal method #user interface
A Scalable Formal Method for Design and Automatic Checking of User Interfaces (JB, SCR, GR, PSP), pp. 453–462.
SACSAC-2001-GuptaMP #clustering #data type #distributed #evaluation #performance
Performance evaluation of the LH*lh scalable, distributed data structure for a cluster of workstations (VG, MM, ADP), pp. 544–548.
SACSAC-2001-LiuBKV #visualisation
Large-scale flow field visualization for aneurysm treatment (DSML, MB, WJK, DJV), pp. 68–72.
DACDAC-2001-ChenC #analysis #grid #performance #power management
Efficient Large-Scale Power Grid Analysis Based on Preconditioned Krylov-Subspace Iterative Methods (THC, CCPC), pp. 559–562.
DACDAC-2001-MneimnehAWCSA #hybrid #verification
Scalable Hybrid Verification of Complex Microprocessors (MNM, FAA, CTW, SC, KAS, TMA), pp. 41–46.
DACDAC-2001-SimunicBAGM #power management
Dynamic Voltage Scaling and Power Management for Portable Systems (TS, LB, AA, PWG, GDM), pp. 524–529.
DACDAC-2001-VerhaegenG #analysis #linear #performance
Efficient DDD-based Symbolic Analysis of Large Linear Analog Circuits (WV, GGEG), pp. 139–144.
DATEDATE-2001-BadarogluHGDMGEB #generative #multi #simulation
High-level simulation of substrate noise generation from large digital circuits with multiple supplies (MB, MvH, VG, SD, HDM, GGEG, ME, IB), pp. 326–330.
DATEDATE-2001-DoboliV #analysis #network
A regularity-based hierarchical symbolic analysis method for large-scale analog networks (AD, RV), p. 806.
DATEDATE-2001-IyerM #architecture #power management
Power aware microarchitecture resource scaling (AI, DM), pp. 190–196.
DATEDATE-2001-MinatoI #combinator #problem #streaming
Streaming BDD manipulation for large-scale combinatorial problems (SiM, SI), pp. 702–707.
HPCAHPCA-2001-AcacioGGD #architecture #multi
A New Scalable Directory Architecture for Large-Scale Multiprocessors (MEA, JG, JMG, JD), pp. 97–106.
HPCAHPCA-2001-HeathKPN #architecture #communication
Quantifying the Impact of Architectural Scaling on Communication (TH, SK, RPM, TDN), pp. 267–277.
HPCAHPCA-2001-MichaudS #data flow
Data-Flow Prescheduling for Large Instruction Windows in Out-of-Order Processors (PM, AS), pp. 27–36.
LCTESLCTES-OM-2001-BrunschOS #corba #design #performance
Designing an Efficient and Scalable Server-side Asynchrony Model for CORBA (DB, CO, DCS), pp. 223–229.
LCTESLCTES-OM-2001-GoreCSO #corba #design #optimisation
Designing and Optimizing a Scalable CORBA Notification Service (PG, RC, DCS, CO), pp. 196–204.
LCTESLCTES-OM-2001-KimH #embedded #hybrid #power management #realtime #runtime
Hybrid Run-time Power Management Technique for Real-time Embedded System with Voltage Scalable Processor (MK, SH), pp. 11–19.
PDPPDP-2001-BernaschiR #communication #memory management
MPI Collective Communication Operations on Large Shared Memory Systems (MB, GR), pp. 159–164.
PDPPDP-2001-CasalicchioT #algorithm #scheduling #web
Static and Dynamic Scheduling Algorithms for Scalable Web Server Farm (EC, ST), pp. 369–376.
PDPPDP-2001-PaganiR #distributed #implementation #online
Implementing On-line Techniques to Allocate File Resources in Large Distributed Systems (EP, GPR), p. 377–?.
PPoPPPPoPP-2001-ScottS
Scalable queue-based spin locks with timeout (MLS, WNSI), pp. 44–52.
PPoPPPPoPP-2001-VetterM #analysis #communication #distributed #statistics
Statistical scalability analysis of communication operations in distributed applications (JSV, MOM), pp. 123–132.
SOSPSOSP-2001-PillaiS #embedded #operating system #power management #realtime
Real-Time Dynamic Voltage Scaling for Low-Power Embedded Operating Systems (PP, KGS), pp. 89–102.
SOSPSOSP-2001-RowstronD #peer-to-peer #persistent
Storage Management and Caching in PAST, A Large-scale, Persistent Peer-to-peer Storage Utility (AITR, PD), pp. 188–201.
SOSPSOSP-2001-WelshCB #architecture #internet #named
SEDA: An Architecture for Well-Conditioned, Scalable Internet Services (MW, DEC, EAB), pp. 230–243.
STOCSTOC-2001-BorgsCP #clustering #integer #problem
Sharp threshold and scaling window for the integer partitioning problem (CB, JTC, BP), pp. 330–336.
DL-2000-AgichteinG #named
Snowball: extracting relations from large plain-text collections (EA, LG), pp. 85–94.
DL-2000-PaynterWCB #case study
Scalable browsing for large collections: a case study (GWP, IHW, SJC, GB), pp. 215–223.
TPDLECDL-2000-CruzKK #library
Personal Data in a Large Digital Library (JMBC, MJRK, TK), p. 127.
TPDLECDL-2000-MalyZATZ #library
Scalable Digital Libraries Based on NCSTRL/Dienst (KM, MZ, HA, DT, YZ), pp. 168–179.
TPDLECDL-2000-Mukaiyama #component #library #multi
A Large Scale Component-Based Multi-media Digital Library System (HM), pp. 336–339.
TPDLECDL-2000-WeberBS #image #parallel #similarity #using
Interactive-Time Similarity Search for Large Image Collections Using Parallel VA-Files (RW, KB, HJS), pp. 83–92.
HTHT-2000-AndersonOKO #framework #integration
Integrating infrastructure: enabling large-scale client integration (KMA, CO, RK, RO), pp. 57–66.
SIGMODSIGMOD-2000-ChenJDTW #database #internet #named #query
NiagaraCQ: A Scalable Continuous Query System for Internet Databases (JC, DJD, FT, YW), pp. 379–390.
SIGMODSIGMOD-2000-LitwinS #data type #distributed #using
LH*RS: A High-Availability Scalable Distributed Data Structure using Reed Solomon Codes (WL, TJES), pp. 237–248.
SIGMODSIGMOD-2000-OhHP #database #effectiveness #performance #video
Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases (JHO, KAH), pp. 415–426.
SIGMODSIGMOD-2000-RamaswamyRS #algorithm #mining #performance #set
Efficient Algorithms for Mining Outliers from Large Data Sets (SR, RR, KS), pp. 427–438.
SIGMODSIGMOD-2000-ShenoyHSBBS #database #mining
Turbo-charging Vertical Mining of Large Databases (PS, JRH, SS, GB, MB, DS), pp. 22–33.
SIGMODSIGMOD-2000-Weininger #database #parallel
Handling Very Large Databases with Informix Extended Parallel Server (AW), pp. 548–549.
VLDBVLDB-2000-BasuFP #internet
Building Scalable Internet Applications with Oracle8i Server (JB, JAF, OP), p. 649.
VLDBVLDB-2000-ChristopheBPV #database #named
PicoDMBS: Scaling Down Database Techniques for the Smartcard (CB, LB, PP, PV), pp. 11–20.
VLDBVLDB-2000-DuttaDMRT #named #online #personalisation #web
Demonstration: Enabling Scalable Online Personalization on the Web (KD, AD, DEV, KR, HMT), pp. 631–634.
VLDBVLDB-2000-LaneEN #agile #challenge #database #development
Biodiversity Informatics: The Challenge of Rapid Development, Large Databases, and Complex Data (MAL, JLE, EN), pp. 729–732.
VLDBVLDB-2000-LuL #classification
Decision Tables: Scalable Classification Exploring RDBMS Capabilities (HL, HL), pp. 373–384.
VLDBVLDB-2000-PottingerL #algorithm #query #using
A Scalable Algorithm for Answering Queries Using Views (RP, AYL), pp. 484–495.
VLDBVLDB-2000-Team #data transformation #in memory
High-Performance and Scalability through Application Tier,In-Memory Data Management, pp. 677–680.
ICALPICALP-2000-AlonKKMS
Scalable Secure Storage when Half the System Is Faulty (NA, HK, MK, DM, JPS), pp. 576–587.
CHICHI-2000-PatrickCSRVC #artificial reality #using
Using a large projection screen as an alternative to head-mounted displays for virtual environments (EP, DC, AS, JAR, TV, GC), pp. 478–485.
EDOCEDOC-2000-SudaTHN #distributed
New Control Methods for the Realization of an Ultra-Large-Scale Cooperative Distributed System (SS, HT, AH, KN), pp. 13–20.
ICEISICEIS-2000-KostarasMMP #industrial #multi #problem
Solving Large Scale Multi-Criteria Job Sequencing Problems in Real Industrial Environments (GK, IM, GM, JEP), pp. 157–162.
CIKMCIKM-2000-JohoS
Retrieving Descriptive Phrases from Large Amounts of Free Text (HJ, MS), pp. 180–186.
CIKMCIKM-2000-MeretakisFLL #classification
Scalable association-based text classification (DM, DF, HL, SL), pp. 5–11.
CIKMCIKM-2000-Yang #3d #named #relational #set
n23Tool: a Tool for Exploring Large Relational Data Sets Through 3D Dynamic Projections (LY), pp. 322–327.
CIKMCIKM-2000-YeeDN #database #design #framework
A Framework for Designing Update Objects to Improve Server Scalability in Intermittently Synchronized Databases (WGY, MJD, SBN), pp. 54–61.
ICMLICML-2000-CampbellCS #classification #learning #query
Query Learning with Large Margin Classifiers (CC, NC, AJS), pp. 111–118.
ICMLICML-2000-FiechterR #learning
Learning Subjective Functions with Large Margins (CNF, SR), pp. 287–294.
ICMLICML-2000-KomarekM #adaptation #machine learning #performance #set
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets (PK, AWM), pp. 495–502.
ICMLICML-2000-MamitsukaA #database #learning #mining #performance #query
Efficient Mining from Large Databases by Query Learning (HM, NA), pp. 575–582.
ICMLICML-2000-PaliourasPKS #clustering #community #web
Clustering the Users of Large Web Sites into Communities (GP, CP, VK, CDS), pp. 719–726.
ICPRICPR-v1-2000-AggarwalA #generative #on the
On Generating Seamless Mosaics with Large Depth of Field (MA, NA), pp. 1588–1591.
ICPRICPR-v1-2000-RomdhaniPG
A Generic Face Appearance Model of Shape and Texture under Very Large Pose Variations from Profile to Profile Views (SR, AP, SG), pp. 5060–5063.
ICPRICPR-v2-2000-BradleyRF #clustering #database #modelling #using
Clustering Very Large Databases Using EM Mixture Models (PSB, CR, UMF), pp. 2076–2080.
ICPRICPR-v2-2000-MitraMP #database #incremental #learning
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines (PM, CAM, SKP), pp. 2708–2711.
ICPRICPR-v3-2000-FaruquieMRS #modelling #recognition #speech #using
Large Vocabulary Audio-Visual Speech Recognition Using Active Shape Models (TAF, AM, NR, LVS), pp. 3110–3113.
KDDKDD-2000-KeoghP
Scaling up dynamic time warping for datamining applications (EJK, MJP), pp. 285–289.
KDDKDD-2000-PavlovCS #towards #using
Towards scalable support vector machines using squashing (DP, DC, PS), pp. 295–299.
KDDKDD-2000-Senator #case study #detection #information management
Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation’s Advanced Detection System (RADS) (TES), pp. 44–53.
KDDKDD-2000-Yang #3d #dataset #interactive #relational
Interactive exploration of very large relational datasets through 3D dynamic projections (LY), pp. 236–243.
KDDKDD-2000-ZhangDR #constraints #dataset
Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets (XZ, GD, KR), pp. 310–314.
KRKR-2000-McGuinnessFRW #ontology #testing
An Environment for Merging and Testing Large Ontologies (DLM, RF, JR, SW), pp. 483–493.
KRKR-2000-SchulzH #experience #information management #reuse
Knowledge Engineering by Large-Scale Knowledge Reuse — Experience from the Medical Domain (SS, UH), pp. 601–610.
SIGIRSIGIR-2000-Ando #metric #precise #semantics #similarity
Latent semantic-space: iterative scaling improves precision of inter-document similarity measurement (RKA), pp. 216–223.
OOPSLAOOPSLA-2000-TipP #algorithm #graph
Scalable propagation-based call graph construction algorithms (FT, JP), pp. 281–293.
TOOLSTOOLS-EUROPE-2000-GerodolleTG #approach #middleware
A Middleware Approach for Building Large-Scale Open Shared Virtual Worlds (AG, FDT, LGB), pp. 169–180.
TOOLSTOOLS-PACIFIC-2000-HillNP #visualisation
Scalable Visualisations with Ownership Trees (TH, JN, JP), pp. 202–213.
TOOLSTOOLS-USA-2000-Ege #database #java
Reading Large Volumes of Java Objects from Database (RKE), pp. 117–124.
PADLPADL-2000-YunesMS #approach #hybrid #problem #scheduling
A Hybrid Approach for Solving Large Scale Crew Scheduling Problems (THY, AVM, CCdS), pp. 293–307.
PEPMPEPM-2000-Das #case study #experience #source code #static analysis
Static Analysis of Large Programs: Some Experiences (MD), p. 1.
PLDIPLDI-2000-FahndrichRD #analysis #constraints #using
Scalable context-sensitive flow analysis using instantiation constraints (MF, JR, MD), pp. 253–263.
PLDIPLDI-2000-RouhtevC #analysis #points-to
Off-line variable substitution for scaling points-to analysis (AR, SC), pp. 47–56.
REICRE-2000-FeatherCG #interactive #requirements
Scalable Mechanisms for Requirements Interaction Management (MSF, SLC, MG), pp. 119–129.
REICRE-2000-GullaB #challenge #modelling #on the #re-engineering
On the Challenges of Business Modeling in Large-Scale Reengineering Projects (JAG, TB), pp. 17–26.
ASEASE-2000-MenziesS #assessment #case study #query #risk management
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment (TM, ES), p. 165–?.
ICSEICSE-2000-KarlssonAL #development #distributed
Daily build and feature development in large distributed projects (EAK, LGA, PL), pp. 649–658.
ICSEICSE-2000-Vinoski00a #corba
Scalability issues in CORBA-based systems (SV), p. 826.
SACSAC-2000-YunesMS #problem #scheduling
Solving Very Large Crew Scheduling Problems to Optimality (THY, AVM, CCdS), pp. 446–451.
ASPLOSASPLOS-2000-BergerMBW #memory management #named #parallel #thread
Hoard: A Scalable Memory Allocator for Multithreaded Applications (EDB, KSM, RDB, PRW), pp. 117–128.
DACDAC-2000-KapurL
Large-scale capacitance calculation (SK, DEL), pp. 744–749.
DATEDATE-2000-BenabdenebiMM #configuration management #named
CAS-BUS: A Scalable and Reconfigurable Test Access Mechanism for Systems on a Chip (MB, WM, MM), pp. 141–145.
DATEDATE-2000-GuerraRFR #analysis #approach
A Hierarchical Approach for the Symbolic Analysis of Large Analog Integrated Circuits (OG, ER, FVF, ÁRV), pp. 48–52.
DATEDATE-2000-Zorian #embedded #trade-off
Yield Improvement and Repair Trade-Off for Large Embedded Memories (YZ), pp. 69–70.
HPDCHPDC-2000-BeclaH #database
Creating Large Scale Database Servers (JB, AH), pp. 271–278.
HPDCHPDC-2000-HeissRN #clustering #distributed
Distributed Processor Allocation in Large PC Clusters (HUH, CAFDR, POAN), pp. 288–289.
HPDCHPDC-2000-PlaleS #data flow #embedded #named #query #using
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries (BP, KS), pp. 263–270.
OSDIOSDI-2000-AndersonCV #network
Interposed Request Routing for Scalable Network Storage (DCA, JSC, AV), pp. 259–272.
OSDIOSDI-2000-GribbleBHC #data type #distributed #internet
Scalable, Distributed Data Structures for Internet Service Construction (SDG, EAB, JMH, DEC), pp. 319–332.
PDPPDP-2000-TambourisS #analysis #component #parallel
Scalability analysis of parallel systems with multiple components of work (ET, PVS), pp. 182–189.
CADECADE-2000-Kautz #information management #reasoning #representation
Scalable Knowledge Representation and Reasoning Systems (HAK), p. 183.
CAVCAV-2000-HeymanGGS #analysis #parallel #reachability
Achieving Scalability in Parallel Reachability Analysis of Very Large Circuits (TH, DG, OG, AS), pp. 20–35.
DL-1999-DolinAA #summary
Scalable Sollection Summarization and Selection (RD, DA, AEA), pp. 49–58.
DL-1999-ZhuRCHNS #library
Create a Large-Scale Digital Library for Geo-Referenced Information (BZ, MR, HC, RVH, TDN, BRS), pp. 260–261.
TPDLECDL-1999-Abramatic #challenge #web
Challenges for the Web: Universality and Scalability (JFA), p. 1.
HTHT-1999-Anderson #hypermedia
Data Scalability in Open Hypermedia Systems (KMA), pp. 27–36.
ICDARICDAR-1999-KosmalaWR #clustering #online #recognition
Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition (AK, DW, GR), pp. 442–445.
PODSPODS-1999-ChuW #performance
Fast Time-Series Searching with Scaling and Shifting (KKWC, MHW), pp. 237–248.
SIGMODSIGMOD-1999-AltinelABFSZ #adaptation #delivery #middleware #named
DBIS-Toolkit: Adaptable Middleware for Large Scale Data Delivery (MA, DA, TB, MJF, WS, SBZ), pp. 544–546.
SIGMODSIGMOD-1999-HinneburgK #clustering #database
Clustering Methods for Large Databases: From the Past to the Future (AH, DAK), p. 509.
SIGMODSIGMOD-1999-MankuRL #dataset #online #order #performance #random #statistics
Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets (GSM, SR, BGL), pp. 251–262.
VLDBVLDB-1999-BamfordAP #architecture #database
A Scalable and Highly Available Networked Database Architecture (RB, RA, AP), pp. 199–201.
VLDBVLDB-1999-KumarRRT #knowledge base #web
Extracting Large-Scale Knowledge Bases from the Web (RK, PR, SR, AT), pp. 639–650.
VLDBVLDB-1999-LiRS #algorithm
Aggregation Algorithms for Very Large Compressed Data Warehouses (JL, DR, JS), pp. 651–662.
ITiCSEITiCSE-1999-Impagliazzo #architecture #education #word
Teaching very large instruction word architectures (JI), p. 208.
FMFM-v1-1999-BehmBFM #named
Météor: A Successful Application of B in a Large Project (PB, PB, AF, JMM), pp. 369–387.
CHICHI-1999-CurtisHJNW #design #multi
Customer-Focused Design Data in a Large, Multi-Site Organization (PC, TH, DJ, MN, JW), pp. 608–615.
CHICHI-1999-KaratHHK #recognition #speech
Patterns of Entry and Correction in Large Vocabulary Continuous Speech Recognition System (CMK, CH, DBH, JK), pp. 568–575.
CHICHI-1999-KurtenbachFOB #performance
The Hotbox: Efficient Access to a Large Number of Menu-Items (GK, GWF, RNO, TB), pp. 231–237.
HCIHCI-CCAD-1999-BoussoffaraE #interface #performance
Influence of interfaces on human performance in S&C of large technical systems (BB, PFE), pp. 1286–1290.
HCIHCI-CCAD-1999-ChoCHP
Electronic commerce system supporting scalable and high end marketing facility (HC, HC, HH, SP), pp. 1162–1166.
HCIHCI-EI-1999-AtkinsonW #approach #database #industrial #information retrieval #legacy
Exploiting Knowledge in Large Industrial Companies: A Combined Approach to Information Retrieval from Legacy Databases (MA, OMW), pp. 1177–1181.
HCIHCI-EI-1999-Baudisch #using
Using a Painting Metaphor to Rate Large Numbers of Objects (PB), pp. 266–270.
ICEISICEIS-1999-MendesM #simulation
Traffic Simulation of Large Regions (PM, JM), p. 761.
ICEISICEIS-1999-MisraSKML #enterprise #information management #integration #using
Integration of Information Systems in Large-Scale Enterprises Using Model-Integrated Computing (AM, JS, GK, MM, ÁL), pp. 485–492.
ICEISICEIS-1999-Ramos
Scalable Intelligence Decision Support Systems (CR), pp. 280–284.
CIKMCIKM-1999-GeffnerAAS #classification #library #using
Browsing Large Digital Library Collections Using Classification Hierarchies (SG, DA, AEA, TRS), pp. 195–201.
CIKMCIKM-1999-WangXL #clustering #transaction #using
Clustering Transactions Using Large Items (KW, CX, BL), pp. 483–490.
CIKMCIKM-1999-YuMLWR #database #effectiveness #performance
Efficient and Effective Metasearch for a Large Number of Text Databases (CTY, WM, KLL, WW, NR), pp. 217–224.
CIKMCIKM-1999-YuOE #performance
Simple QSF-Trees: An Efficient and Scalable Spatial Access Method (BY, RO, MWE), pp. 5–14.
ICMLICML-1999-BurgardFJMT #mobile #using
Sonar-Based Mapping of Large-Scale Mobile Robot Environments using EM (WB, DF, HJ, CM, ST), pp. 67–76.
ICMLICML-1999-WuBCS #induction
Large Margin Trees for Induction and Transduction (DW, KPB, NC, JST), pp. 474–483.
KDDKDD-1999-AyanTA #algorithm #performance
An Efficient Algorithm to Update Large Itemsets with Early Pruning (NFA, AUT, MEA), pp. 287–291.
KDDKDD-1999-FanSZ #distributed #learning #online
The Application of AdaBoost for Distributed, Scalable and On-Line Learning (WF, SJS, JZ), pp. 362–366.
KDDKDD-1999-ZhangRL #database #estimation #kernel #performance #using
Fast Density Estimation Using CF-Kernel for Very Large Databases (TZ, RR, ML), pp. 312–316.
KDDKDD-T-1999-KeimH #clustering #set
Clustering Techniques for Large Data Sets — from the Past to the Future (DAK, AH), pp. 141–181.
KDDKDD-T-1999-RastogiS #algorithm #database #mining
Scalable Algorithms for Mining Large Databases (RR, KS), pp. 73–140.
SIGIRSIGIR-1999-Marcu #automation #corpus #research #summary
The Automatic Construction of Large-Scale Corpora for Summarization Research (DM), pp. 137–144.
TOOLSTOOLS-USA-1999-BenDaniel
Building Scalable ODBMS Applications (MB), p. 446.
GPCEGCSE-1999-RanaLWS #component #generative #simulation #xml
An XML Based Component Model for Generating Scientific Applications and Performing Large Scale Simulations in a Meta-computing Environment (OFR, ML, DWW, MSS), pp. 210–224.
SASSAS-1999-Soffa #analysis #data flow #named #precise #tutorial
Tutorial: Techniques to Improve the Scalability and Precision of Data Flow Analysis (MLS), pp. 355–356.
ICSEICSE-1999-Anderson #industrial
Supporting Industrial Hyperwebs: Lessons in Scalability (KMA), pp. 573–582.
ICSEICSE-1999-Griss #architecture #component #reuse
Architecting for Large-Scale Systematic Component Reuse (MLG), pp. 615–616.
DACDAC-1999-AbtsR #multi #using #verification
Verifying Large-Scale Multiprocessors Using an Abstract Verification Environment (DA, MR), pp. 163–168.
DACDAC-1999-GoodmanCD #design #embedded #encryption #implementation
Design and Implementation of a Scalable Encryption Processor with Embedded Variable DC/DC Converter (JG, AC, APD), pp. 855–860.
DACDAC-1999-NachtergaeleVPLBB #implementation #visual notation
Implementation of a Scalable MPEG-4 Wavelet-Based Visual Texture Compression System (LN, BV, MP, GL, JB, IB), pp. 333–336.
DATEDATE-1999-Dewilde #design #source code
Large European Programs in Microelectronic System and Circuit Design (PD), p. 734–?.
DATEDATE-1999-HongB #analysis #finite #reachability #state machine #using
Symbolic Reachability Analysis of Large Finite State Machines Using Don’t Cares (YH, PAB), p. 13–?.
DATEDATE-1999-Hsiao #estimation #optimisation #search-based #using
Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits (MSH), p. 175–?.
DATEDATE-1999-IkedaKNSYMNO #architecture #video
An MPEG-2 Video Encoder LSI with Scalability for HDTV based on Three-layer Cooperative Architecture (MI, TK, KN, KS, TY, TM, JN, TO), p. 44–?.
DATEDATE-1999-NicolaidisZ #online #testing
Scaling Deeper to Submicron: On-Line Testing to the Rescue (MN, YZ), p. 432–?.
DATEDATE-1999-TanS #diagrams #using
Interpretable Symbolic Small-Signal Characterization of Large Analog Circuits using Determinant Decision Diagrams (XDT, CJRS), pp. 448–453.
HPCAHPCA-1999-HagerstenK #named
WildFire: A Scalable Path for SMPs (EH, MK), pp. 172–181.
HPCAHPCA-1999-MichaelN #design #memory management #multi #performance
Design and Performance of Directory Caches for Scalable Shared Memory Multiprocessors (MMM, AKN), pp. 142–151.
HPCAHPCA-1999-PlaatBH #difference #latency #parallel
Sensitivity of Parallel Applications to Large Differences in Bandwidth and Latency in Two-Layer Interconnects (AP, HEB, RFHH), pp. 244–253.
HPCAHPCA-1999-RheeL #network
A Scalable Cache Coherent Scheme Exploiting Wormhole Routing Networks (YR, JL), pp. 223–226.
HPDCHPDC-1999-ChoudharyKNNSTMT #data transformation #distributed #performance
Data Management for Large-Scale Scientific Computations in High Performance Distributed Systems (ANC, MTK, HSN, JN, XS, VET, SM, RT), pp. 263–272.
PDPPDP-1999-GuskenLS #quantum #simulation
Large scale simulations of quantum chromodynamics in a Europe wide SIMD-MIMD environment (SG, TL, KS), pp. 321–327.
PDPPDP-1999-Vajtersic #algorithm #problem
A scalable VLSI algorithm for the fourth-order elliptic problem (MV), pp. 53–57.
PDPPDP-1999-YeroH #internet #parallel #problem
A method to solve the scalability problem in managing massively parallel processing on the Internet (EJHY, MAAH), pp. 256–262.
PPoPPPPoPP-1999-BagrodiaDDP #parallel #performance #predict #simulation #using
Performance Prediction of Large Parallel Applications using Parallel Simulations (RB, ED, SD, TP), pp. 151–162.
SOSPSOSP-1999-SaitoBL #clustering #performance
Manageability, Availability and Performance in Porcupine: A Highly Scalable, Cluster-based Mail Service (YS, BNB, HML), pp. 1–15.
STOCSTOC-1999-Schaeffer #random
Random Sampling of Large Planar Maps and Convex Polyhedra (GS), pp. 760–769.
STOCSTOC-1999-SchulmanV99a #quantum
Molecular Scale Heat Engines and Scalable Quantum Computation (LJS, UVV), pp. 322–329.
ICLPICLP-1999-Truszczynski #modelling
Computing Large and Small Stable Models (MT), pp. 169–183.
DL-1998-JansenSS #analysis #query #web
Failure Analysis in Query Construction: Data and Analysis from a Large Sample of Web Queries (BJJ, AS, TS), pp. 289–290.
TPDLECDL-1998-Houstis #how #question #repository #towards #what
Federated Scientific Data Repositories for the Environment Towards Global Scalable Management of Environmental Information: How Useful Will They Be? What Is Their Potential Impact? Shall We Save the Environment? (CEH), pp. 741–742.
SIGMODSIGMOD-1998-Eaton
Managing Large Systems with DB2 UDB (CE), pp. 508–509.
SIGMODSIGMOD-1998-GuhaRS #algorithm #clustering #database #named #performance
CURE: An Efficient Clustering Algorithm for Large Databases (SG, RR, KS), pp. 73–84.
SIGMODSIGMOD-1998-Spiro #self #ubiquitous
Ubiquitous, Self-tuning, Scalable Servers (PMS), pp. 512–515.
VLDBVLDB-1998-ArgePRSV
Scalable Sweeping-Based Spatial Join (LA, OP, SR, TS, JSV), pp. 570–581.
VLDBVLDB-1998-DoDJJR
Issues in Developing Very Large Data Warehouses (LD, PD, WJ, VJ, DVR), pp. 633–636.
VLDBVLDB-1998-GehrkeRG #dataset #framework #named #performance
RainForest — A Framework for Fast Decision Tree Construction of Large Datasets (JG, RR, VG), pp. 416–427.
VLDBVLDB-1998-KnorrN #algorithm #dataset #mining
Algorithms for Mining Distance-Based Outliers in Large Datasets (EMK, RTN), pp. 392–403.
VLDBVLDB-1998-RiedelGF #data mining #mining #multi
Active Storage for Large-Scale Data Mining and Multimedia (ER, GAG, CF), pp. 62–73.
VLDBVLDB-1998-SheikholeslamiCZ #approach #clustering #database #multi #named
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases (GS, SC, AZ), pp. 428–439.
VLDBVLDB-1998-SilversteinBMU #mining
Scalable Techniques for Mining Causal Structures (CS, SB, RM, JDU), pp. 594–605.
ITiCSEITiCSE-1998-PrestonS #distance
A system for improving distance and large-scale classes (JAP, RLS), pp. 193–198.
ICSMEICSM-1998-CimitileLL #empirical #identification #persistent
An Experiment in Identifying Persistent Objects in Large Systems (AC, ADL, GADL), p. 122–?.
IWPCIWPC-1998-KorelR #comprehension #slicing #source code
Program Slicing in Understanding of Large Programs (BK, JR), pp. 145–152.
IWPCIWPC-1998-MayrhauserV #adaptation #behaviour #comprehension
Program Understanding Behavior During Adaptation of Large Scale Software (AvM, AMV), pp. 164–172.
WCREWCRE-1998-CrossHBM #evaluation #framework #reverse engineering #visualisation
Scalable Visualizations to Support Reverse Engineering: A Framework for Evaluation (JHCI, TDH, LAB, KSM), pp. 201–209.
CIKMCIKM-1998-BouganimKV #adaptation #execution #query #scheduling
Memory-Adaptive Scheduling for Large Query Execution (LB, OK, PV), pp. 105–115.
ICMLICML-1998-BollackerG #architecture #classification #reuse
A Supra-Classifier Architecture for Scalable Knowledge Reuse (KDB, JG), pp. 64–72.
ICMLICML-1998-CristianiniSS #classification
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space (NC, JST, PS), pp. 109–117.
ICPRICPR-1998-Duin #analysis #problem #relational
Relational discriminant analysis and its large sample size problem (RPWD), pp. 445–449.
ICPRICPR-1998-KosmalaR98a #clustering #online #recognition #self #using
Tree-based state clustering using self-organizing principles for large vocabulary on-line handwriting recognition (AK, GR), pp. 1313–1315.
ICPRICPR-1998-RigollKW #approach #hybrid #recognition
A new hybrid approach to large vocabulary cursive handwriting recognition (GR, AK, DW), pp. 1512–1514.
ICPRICPR-1998-Yang #image
Invariance and scaling laws in natural images (ZY), pp. 728–730.
ICPRICPR-1998-YangX #image #retrieval
Scaling laws in image gradient fields and texture retrieval (ZY, JX), pp. 1062–1064.
ICPRICPR-1998-YuenFD #database #image #retrieval
Human face image retrieval system for large database (PCY, GCF, DQD), pp. 1585–1588.
KDDKDD-1998-AlsabtiRS #classification #dataset #named
CLOUDS: A Decision Tree Classifier for Large Datasets (KA, SR, VS), pp. 2–8.
KDDKDD-1998-BradleyFR #algorithm #clustering #database
Scaling Clustering Algorithms to Large Databases (PSB, UMF, CR), pp. 9–15.
KDDKDD-1998-ChanS #case study #detection #learning #towards
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection (PKC, SJS), pp. 164–168.
KDDKDD-1998-GraefeFC #classification #database #on the #performance #sql #statistics
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases (GG, UMF, SC), pp. 204–208.
KDDKDD-1998-HinneburgK #approach #clustering #database #multi #performance
An Efficient Approach to Clustering in Large Multimedia Databases with Noise (AH, DAK), pp. 58–65.
KDDKDD-1998-OatesJ #dataset #modelling
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution (TO, DJ), pp. 294–298.
SIGIRSIGIR-1998-CormackPC #performance
Efficient Construction of Large Test Collections (GVC, CRP, CLAC), pp. 282–289.
SIGIRSIGIR-1998-KaszkielZ #database #documentation #evaluation #query
Term-Ordered Query Evaluation versus Document-Ordered Query Evaluation for Large Document Databases (MK, JZ), pp. 343–344.
SIGIRSIGIR-1998-Zobel #how #information retrieval #question #reliability
How Reliable Are the Results of Large-Scale Information Retrieval Experiments? (JZ), pp. 307–314.
TOOLSTOOLS-USA-1998-Griss #architecture #component #reuse
Architecting for Large-Scale Systematic Component Reuse (MLG), p. 7.
PLDIPLDI-1998-AyersJPS #optimisation
Scalable Cross-Module Optimization (AA, SdJ, JP, RS), pp. 301–312.
AdaSIGAda-1998-WoodruffA #ada #distributed #research #using
A Large Distributed Control System Using Ada in Fusion Research (JPW, PJVA), pp. 121–131.
ICSEICSE-1998-ArnoldP #development #metric #rating
Software Size Measurement and Productivity Rating in a Large-Scale Software Development Department (MA, PP), pp. 490–493.
ICSEICSE-1998-HilbertR #approach #internet
An Approach to Large-Scale Collection of Application Usage Data Over the Internet (DMH, DFR), pp. 136–145.
ICSEICSE-1998-NoackS #design #development
Designing an Application Development Model for a Large Banking Organization (JN, BS), pp. 495–498.
ICSEICSE-1998-PerrySV #case study #development #parallel
Parallel Changes in Large Scale Software Development: An Observational Case Study (DEP, HPS, LGV), pp. 251–260.
SACSAC-1998-MerkleGL #algorithm #performance #search-based
Scalability of an MPI-based fast messy genetic algorithm (LDM, GHGJ, GBL), pp. 386–393.
SACSAC-1998-Sibai98a #low cost #multi #network
The hyper-ring network: a cost-efficient topology for scalable multicomputers (FNS), pp. 607–612.
DACDAC-1998-AndersonB
Technology Mapping for Large Complex PLDs (JHA, SDB), pp. 698–703.
DACDAC-1998-EvansSVBDHHL #functional #verification
Functional Verification of Large ASICs (AE, AS, GV, TB, MD, GH, TH, YL), pp. 650–655.
DACDAC-1998-HinsbergerK #library
Boolean Matching for Large Libraries (UH, RK), pp. 206–211.
DACDAC-1998-KirovskiP #graph #performance
Efficient Coloring of a Large Spectrum of Graphs (DK, MP), pp. 427–432.
DACDAC-1998-UsamiIIKTHATK #design #power management
Design Methodology of Ultra Low-Power MPEG4 Codec Core Exploiting Voltage Scaling Techniques (KU, MI, TI, MK, MT, MH, HA, TT, TK), pp. 483–488.
DATEDATE-1998-FreundF #approximate #linear #modelling #multi #using
Reduced-Order Modeling of Large Linear Passive Multi-Terminal Circuits Using Matrix-Pade Approximation (RWF, PF), pp. 530–537.
DATEDATE-1998-GerlachR #design #estimation
A Scalable Methodology for Cost Estimation in a Transformational High-Level Design Space Exploration Environment (JG, WR), pp. 226–231.
DATEDATE-1998-MaheshwariS #performance
Efficient Minarea Retiming of Large Level-Clocked Circuits (NM, SSS), pp. 840–845.
DATEDATE-1998-MrvaBK #architecture #concurrent #java #multi #thread
A Scalable Architecture for Multi-threaded JAVA Applications (MM, KB, RK), pp. 868–874.
DATEDATE-1998-PyttelSV #architecture #named #parallel
PSCP: A Scalable Parallel ASIP Architecture for Reactive Systems (AP, AS, CV), pp. 370–376.
HPCAHPCA-1998-EkanadhamLPS #architecture #memory management #named
PRISM: An Integrated Architecture for Scalable Shared Memory (KE, BHL, PP, MS), pp. 140–151.
HPDCHPDC-1998-GentileEA #agile #development #distributed #framework #named #tool support
Lilith: A Software Framework for the Rapid Development of Scalable Tools for Distributed Computing (ACG, DAE, RCA), pp. 360–361.
HPDCHPDC-1998-OguchiSTK #clustering #data mining #effectiveness #evaluation #mining #optimisation #parallel #parametricity #protocol
Optimizing Protocol Parameters to Large Scale PC Cluster and Evaluation of its Effectiveness with Parallel Data Mining (MO, TS, TT, MK), pp. 34–41.
HPDCHPDC-1998-SalmonSBS #distributed
Scaling of Beowulf-Class Distributed Systems (JKS, TLS, RB, CS), pp. 368–369.
ISMMISMM-1998-HicksHMN #case study
A Study of Large Object Spaces (MWH, LH, JTM, SN), pp. 138–145.
PDPPDP-1998-VesztergombiORV #algorithm #architecture #matrix #multi
Scalable matrix multiplication algorithm for IRAM architecture machine (GV, , FR, GV), pp. 367–372.
STOCSTOC-1998-LinialSW #algorithm #approximate #matrix #polynomial
A Deterministic Strongly Polynomial Algorithm for Matrix Scaling and Approximate Permanents (NL, AS, AW), pp. 644–652.
TACASTACAS-1998-Lind-NielsenABHKL #analysis #composition #dependence #using #verification
Verification of Large State/Event Systems Using Compositionality and Dependency Analysis (JLN, HRA, GB, HH, KJK, KGL), pp. 201–216.
ADLADL-1997-ChengDNPKWAAFSSS #library
Scalable Access Within the Context of Digital Libraries (XC, RD, MON, SP, KVRK, DW, DA, AEA, MF, AKS, TRS, JS), pp. 70–81.
DL-1997-YappYZ #database #multi #named
CONTENT: A Practical, Scalable, High-Performance Multimedia Database (LY, CY, GLZ), pp. 185–192.
TPDLECDL-1997-Hawking #library #retrieval
Scalable Text Retrieval for Large Digital Libraries (DH), pp. 127–145.
TPDLECDL-1997-NikolaouMPYS #distributed #framework #towards
Towards a Common Infrastructure for Large-scale Distributed Applications (CN, MM, DP, YY, JS), pp. 173–193.
HTHT-1997-BalasubramanianBP #documentation #hypermedia #using #web
A Large-Scale Hypermedia Application using Document Management and Web Technologies (VB, AB, DP), pp. 134–145.
ICDARICDAR-1997-Ha #database #detection #performance
Efficient Detection of Abnormalities in Large OCR Databases (TMH), p. 1006–?.
ICDARICDAR-1997-HarukiH #approximate #image
Scalable Image Coding by Spline Approximation for a Gray-scale Image (RH, TH), pp. 407–411.
ICDARICDAR-1997-MadhvanathK #using #word
Pruning Large Lexicons Using Generalized Word Shape Descriptors (SM, VK), pp. 552–555.
SIGMODSIGMOD-1997-HanKK #data mining #mining #parallel
Scalable Parallel Data Mining for Association Rules (EHH, GK, VK), pp. 277–288.
SIGMODSIGMOD-1997-KornJF #ad hoc #dataset #query #sequence
Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences (FK, HVJ, CF), pp. 289–300.
SIGMODSIGMOD-1997-LivnyRBCDLMW #dataset #named #query #visualisation
DEVise: Integrated Querying and Visualization of Large Datasets (ML, RR, KSB, GC, DD, SL, JM, RKW), pp. 301–312.
SIGMODSIGMOD-1997-LivnyRBCDLMW97a #dataset #named #query #visual notation
DEVise: Integrated Querying and Visual Exploration of Large Datasets (ML, RR, KSB, GC, DD, SL, JM, RKW), pp. 517–520.
SIGMODSIGMOD-1997-MaheshwariL #garbage collection
Partitioned Garbage Collection of Large Object Store (UM, BL), pp. 313–323.
VLDBVLDB-1997-KraissW #documentation #migration #predict
Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions (AK, GW), pp. 246–255.
VLDBVLDB-1997-SeidlK #adaptation #database #multi #performance #similarity
Efficient User-Adaptable Similarity Search in Large Multimedia Databases (TS, HPK), pp. 506–515.
CSEETCSEET-1997-Wohlin #challenge #development #education
Meeting the Challenge of Large-Scale Software Development in an Educational Environment (CW), pp. 40–52.
CSMRCSMR-1997-Favre #approach #maintenance
A Rigorous Approach to Support the Maintenance of Large Portable Software (JMF), pp. 44–47.
ICSMEICSM-1997-MayrhauserV #comprehension #maintenance #process
Hypothesis-Driven Understanding Processes During Corrective Maintenance of Large Scale Software (AvM, AMV), pp. 12–20.
WCREWCRE-1997-PalthepuGM #approach #knowledge-based #legacy #recognition
Cliché Recognition in Legacy Software: A Scalable, Knowledge-Based Approach (SP, JEG, GIM), pp. 94–103.
ICSMEICSM-2000-EmamHM #analysis #process #requirements
Causal Analysis of the Requirements Change Process for a Large System (KEE, DH, NHM), pp. 214–221.
FMFME-1997-MartinJ #analysis #concurrent #network #performance #process
An Efficient Technique for Deadlock Analysis of Large Scale Process Networks (JMRM, SAJ), pp. 418–441.
IFLIFL-1997-LoidlMTPCJG #functional
Parallelising a Large Functional Program or: Keeping LOLITA Busy (HWL, RGM, PWT, SP, CC, SLPJ, RG), pp. 198–213.
IFLIFL-1997-LoidlT #functional #parallel #source code
Engineering Large Parallel Functional Programs (HWL, PWT), pp. 178–197.
CHICHI-1997-Pirolli #modelling
Computational Models of Information Scent-Following in a Very Large Browsable Text Collection (PP), pp. 3–10.
HCIHCI-SEC-1997-GiannettiMT #case study #contract #experience #lifecycle #usability
Developing Usability in the Software Life-Cycle: Experiences from a Large European Government Software Contract (AG, RM, GT), pp. 581–584.
HCIHCI-SEC-1997-HolmquistA #approach #set #visualisation
Flip Zooming: A Practical Focus+Context Approach to Visualizing Large Data Sets (LEH, CA), pp. 763–766.
HCIHCI-SEC-1997-MerkleM #interactive #question
Are Interactive Media as Large as Life and Half as Natural? (LEM, REM), pp. 55–58.
HCIHCI-SEC-1997-OomikaNN #idea #interface
Idea Memo PDA in Scalable Handwriting Interfaces (KO, AN, MN), pp. 455–458.
EDOCEDOC-1997-FujisakiHK #distributed #fault tolerance #network #using
A Scalable Fault-Tolerant Network Management System Built Using Distributed Object Technology (TF, MH, KK), pp. 140–148.
CIKMCIKM-1997-DolinAAD #architecture #distributed #named
Pharos: A Scalable Distributed Architecture for Locating Heterogeneous Information Sources (RD, DA, AEA, LKD), pp. 348–355.
KDDKDD-1997-ChattratichatDGGHKSTY #challenge #data mining #mining
Large Scale Data Mining: Challenges and Responses (JC, JD, MG, YG, HH, MK, JS, HWT, DY), pp. 143–146.
KDDKDD-1997-ChienFMLG #data analysis #database #image #using
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases (SAC, FF, HM, EL, RG), pp. 147–150.
KDDKDD-1997-GalalCH #parallel
Improving Scalability in a Scientific Discovery System by Exploiting Parallelism (GG, DJC, LBH), pp. 171–174.
KDDKDD-1997-Huber #statistics
From Large to Huge: A Statistician’s Reactions to KDD & DM (PJH), pp. 304–308.
KDDKDD-1997-KarguptaHS #architecture #data mining #distributed #mining
Scalable, Distributed Data Mining — An Agent Architecture (HK, IH, BS), pp. 211–214.
KDDKDD-1997-ProvostK #algorithm #induction #overview #perspective
Scaling Up Inductive Algorithms: An Overview (FJP, VK), pp. 239–242.
KDDKDD-1997-ThomasBAR #algorithm #database #incremental #performance
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases (ST, SB, KA, SR), pp. 263–266.
SIGIRSIGIR-1997-DavisO #implementation #named #retrieval
QUILT: Implementing a Large-scale Cross-language Text Retrieval System (MWD, WCO), pp. 92–98.
SIGIRSIGIR-1997-HearstK #interactive #interface #named #retrieval #specification #using
Cat-a-Cone: An Interactive Interface for Specifying Searches and Viewing Retrieval Results using a Large Category Hierarchy (MAH, CK), pp. 246–255.
TOOLSTOOLS-PACIFIC-1997-Borron #inheritance #multi
Upscaling the CLOS Inheritance Mechanism for Multidimensional Objects (HJB), pp. 297–324.
PEPMPEPM-1997-MullerVM #optimisation #partial evaluation #protocol
Scaling up Partial Evaluation for Optimizing the Sun Commercial RPC Protocol (GM, ENV, RM), pp. 116–126.
ESECESEC-FSE-1997-AllenDLK #multi #named
TTM15 — A Large Multi-Site Improvement Project (GA, LD, GL, EAK), pp. 111–124.
ICSEICSE-1997-KarbachNK
Leveraging a Large Banking Organization to Object Technology (WK, JN, HBK), pp. 554–555.
ICSEICSE-1997-PerpichPPVW #development #using #web
Anywhere, Anytime Code Inspections: Using the Web to Remove Inspection Bottlenecks in Large-Scale Software Development (JP, DEP, AAP, LGV, MWW), pp. 14–21.
SACSAC-1997-LewisSZ #network #performance #retrieval
Scaling of neural network inferencing by efficient storage and retrieval of outputs (BL, AS, JZ), pp. 10–14.
SACSAC-1997-SchusterH #workflow
A workflow data distribution strategy for scalable workflow management systems (HS, PH), pp. 174–176.
DACDAC-1997-CabodiCLQ #approach #clustering #effectiveness #traversal
Disjunctive Partitioning and Partial Iterative Squaring: An Effective Approach for Symbolic Traversal of Large Circuits (GC, PC, LL, SQ), pp. 728–733.
DACDAC-1997-Vygen #algorithm
Algorithms for Large-Scale Flat Placement (JV), pp. 746–751.
DATEEDTC-1997-CmarV #architecture #parallel
Highly scalable parallel parametrizable architecture of the motion estimator (RC, SV), pp. 208–212.
DATEEDTC-1997-Garcia-VargasGFR #algorithm #analysis #generative
An algorithm for numerical reference generation in symbolic analysis of large analog circuits (IGV, MG, FVF, ÁRV), pp. 395–399.
HPDCHPDC-1997-EvenskyGCA #distributed #execution #named
Lilith: Scalable Execution of User Code for Distributed Computing (DAE, ACG, LJC, RCA), pp. 305–314.
HPDCHPDC-1997-SinghalNRNF #architecture #design #interactive #named
InVerse: Designing an Interactive Universe Architecture for Scalability and Extensibility (SKS, BQN, RR, JN, MF), pp. 61–70.
PDPPDP-1997-VesztergombiORVT #architecture #matrix #parallel #string
Boolean matrix exponentiation: A case story for a scalable massively parallel matrix machine with string architecture (GV, , FR, GV, FT), pp. 461–467.
PPoPPPPoPP-1997-TauraY #effectiveness #garbage collection #parallel #programming language
An Effective Garbage Collection Strategy for Parallel Programming Languages on Large Scale Distributed-Memory Machines (KT, AY), pp. 264–275.
SOSPSOSP-1997-BugnionDR #multi #named #operating system
DISCO: Running Commodity Operating Systems on Scalable Multiprocessors (EB, SD, MR), pp. 143–156.
SOSPSOSP-1997-FoxGCB #clustering #network
Cluster-Based Scalable Network Services (AF, SDG, YC, EAB, PG), pp. 78–91.
SOSPSOSP-1997-ThekkathML #distributed #file system #named
Frangipani: A Scalable Distributed File System (CAT, TM, EKL), pp. 224–237.
LICSLICS-1997-Grohe #finite
Large Finite Structures with Few Lk-Types (MG), pp. 216–227.
ADLADL-1996-AndresenYEIS #library #performance #web
Scalability Issues for High Performance Digital Libraries on the World Wide Web (DA, TY, ÖE, OHI, TRS), pp. 139–148.
ADLADL-1996-WiesenerKB #approach #distributed #documentation #named #semantics
SemaLink: An Approach For Semantic Browsing Through Large Distributed Document Spaces (SW, WLJK, RB), pp. 86–94.
DL-1996-ShivakumarG #detection
Building a Scalable and Accurate Copy Detection Mechanism (NS, HGM), pp. 160–168.
SIGMODSIGMOD-1996-SrikantA #mining #relational
Mining Quantitative Association Rules in Large Relational Tables (RS, RA), pp. 1–12.
SIGMODSIGMOD-1996-ZhangRL #clustering #database #named #performance
BIRCH: An Efficient Data Clustering Method for Very Large Databases (TZ, RR, ML), pp. 103–114.
VLDBVLDB-1996-Dasgupta #database
Large Databases for Remote Sensing and GIS (ARD), p. 587.
VLDBVLDB-1996-Hess #database
Very Large Databases in a Commercial Application Environment (KHH), p. 2.
VLDBVLDB-1996-Ogawa #documentation #effectiveness #performance #ranking #using
Effective & Efficient Document Ranking without using a Large Lexicon (YO), pp. 192–202.
VLDBVLDB-1996-Padmanabhan #parallel #set #using
Extracting Large Data Sets using DB2 Parallel Edition (SP), p. 582.
VLDBVLDB-1996-ShaferAM #classification #data mining #mining #named #parallel
SPRINT: A Scalable Parallel Classifier for Data Mining (JCS, RA, MM), pp. 544–555.
VLDBVLDB-1996-Toivonen #database
Sampling Large Databases for Association Rules (HT), pp. 134–145.
CSEETCSEE-1996-ShepardBS #automation #education #tool support #using
Use of Large, Domain Specific CASE tools in Undergraduate Curricula (TS, BB, MS), pp. 144–148.
ICSMEICSM-1996-BurdMW #cobol #reuse #source code
Analysing Large COBOL Programs: the extraction of reusable modules (EB, MM, CDW), pp. 238–243.
WCREWCRE-1996-Neighbors #component #reuse
Finding Reusable Software Components in Large Systems (JMN), pp. 2–10.
WPCWPC-1996-CitrinSZ #comprehension #interface
Scalable Interfaces to Support Program Comprehension (WC, CS, BGZ), pp. 123–132.
WPCWPC-1996-MayrhauserV #comprehension #migration #on the
On the Role of Hypotheses during Opportunistic Understanding While Porting Large Scale Code (AvM, AMV), pp. 68–77.
ICALPICALP-1996-BosscherG #decidability #process
Regularity for a Large Class of Context-Free Processes is Decidable (DJBB, WODG), pp. 182–193.
IFLIFL-1996-JarvisM #functional #lazy evaluation #profiling #source code
The Results of: Profiling Large-Scale Lazy Functional Programs (SAJ, RGM), pp. 200–221.
CHICHI-1996-DarkenS #behaviour
Wayfinding Strategies and Behaviors in Large Virtual Worlds (RPD, JLS), pp. 142–149.
CHICHI-1996-PirolliSHD #topic
Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection (PP, PKS, MAH, CD), pp. 213–220.
CSCWCSCW-1996-HallMJPR #collaboration #communication #named #reliability
Corona: A Communication Service for Scalable, Reliable Group Collaboration Systems (RWH, AGM, FJ, AP, CR), pp. 140–149.
CIKMCIKM-1996-WuAASS #database #image #performance #retrieval
Efficient Retrieval for Browsing Large Image Databases (DW, DA, AEA, AKS, TRS), pp. 11–18.
ICMLICML-1996-BoyanM #evaluation #learning
Learning Evaluation Functions for Large Acyclic Domains (JAB, AWM), pp. 63–70.
ICMLICML-1996-Roverso #abstraction #knowledge base #multi
Analogy Access by Mapping Spreading and Abstraction in Large, Multifunctional Knowledge Bases (DR), pp. 418–426.
ICMLICML-1996-TadepalliO #approximate #domain model #learning #modelling
Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function (PT, DO), pp. 471–479.
ICPRICPR-1996-AzencottDP #identification #multi
Multiscale identification of buildings in compressed large aerial scenes (RA, FD, JP), pp. 974–978.
ICPRICPR-1996-BerroirHC
A numerical model for large deformation (JPB, IH, IC), pp. 471–475.
ICPRICPR-1996-JuddMJ #clustering #parallel
Large-scale parallel data clustering (DJ, PKM, AKJ), pp. 488–493.
ICPRICPR-1996-Schikuta #clustering #named #performance #set
Grid-clustering: an efficient hierarchical clustering method for very large data sets (ES), pp. 101–105.
ICPRICPR-1996-Webb #feature model #multi #using
Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure (ARW), pp. 635–639.
KDDKDD-1996-ArningAR #database #detection #linear
A Linear Method for Deviation Detection in Large Databases (AA, RA, PR), pp. 164–169.
KDDKDD-1996-EsterKSX #algorithm #clustering #database
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
KDDKDD-1996-HanFWCGKLLRSXZ #database #mining #named #relational
DBMiner: A System for Mining Knowledge in Large Relational Databases (JH, YF, WW, JC, WG, KK, DL, YL, AR, NS, BX, ORZ), pp. 250–255.
KDDKDD-1996-HofackerHSS #information management #product line #sequence #using
Knowledge Discovery in RNA Sequence Families of HIV Using Scalable Computers (ILH, MAH, PFS, PES), pp. 20–25.
KDDKDD-1996-Kohavi #classification #hybrid
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid (RK), pp. 202–207.
KDDKDD-1996-ShekMMN #data mining #distributed #mining
Scalable Exploratory Data Mining of Distributed Geoscientific Data (ECS, RRM, EM, KWN), pp. 32–37.
KDDKDD-1996-StolorzD #data mining #detection #mining #named
Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space (PES, CD), pp. 208–213.
KRKR-1996-LeshE #recognition
Scaling Up Goal Recognition (NL, OE), pp. 244–255.
SEKESEKE-1996-RigoutsosD
The Impact of Hashing Function Choice on the Load Balancing in Very Large Dartasets (IR, AD), pp. 301–308.
ECOOPECOOP-1996-BaumerKGZ #case study #experience #object-oriented
Large Scale Object-Oriented Software-Development in a Banking Environment: An Experience Report (DB, RK, GG, HZ), pp. 73–90.
AdaEuropeAdaEurope-1996-Celier #ada #interface #migration
Visibility Control and Migration of Interfaces in Large Ada Systems (VC), pp. 451–459.
AdaEuropeAdaEurope-1996-FeithT #ada #realtime
Planning the Transition to Ada 95 for a Large Real-Time Project (RF, MT), pp. 500–511.
AdaEuropeAdaEurope-1996-KruchtenT #ada #development #source code
Iterative Software Development for Large Ada Programs (PK, CJT), pp. 101–110.
FSEFSE-1996-AndersonBBCMNR #model checking #specification
Model Checking Large Software Specifications (RJA, PB, SB, WC, FM, DN, JDR), pp. 156–166.
FSEFSE-1996-GriswoldCBM #abstraction #tool support
Tool Support for Planning the Restructuring of Data Abstractions in Large Systems (WGG, MIC, RWB, JDM), pp. 33–45.
ICSEICSE-1996-GibbsB #challenge #concept #multi #programming
Large, Multimedia Programming — Concepts and Challenges (SJG, CB), pp. 439–440.
ICSEICSE-1996-GreenwoodWS #approach #component #evolution
Cooperating Evolving Components: A Rigorous Approach to Evolving Large Software Systems (RMG, BW, JS), pp. 428–437.
ICSEICSE-1996-HartP #automation #process
A Scalable, Automated Process for Year 2000 System Correction (JMH, AP), pp. 475–484.
ICSEICSE-1996-SullivanK #approach #architecture #experience #reuse
Experience Assessing an Architectural Approach to Large-Scale Systematic Reuse (KJS, JCK), pp. 220–229.
SACSAC-1996-RamamurthyYG #generative #on the #parallel
On the scalability of parallel triplet generation for protein crystallography (SR, BWY, CG), pp. 344–352.
ASPLOSASPLOS-1996-KrishnamurthySSWCY #architecture #communication #evaluation #parallel
Evaluation of Architectural Support for Global Address-Based Communication in Large-Scale Parallel Machines (AK, KES, CJS, RYW, DEC, KAY), pp. 37–48.
DACDAC-1996-BrownMVCGGGLZS #design #experience #multi #programmable #tool support #using
Experience in Designing a Large-scale Multiprocessor using Field-Programmable Devices and Advanced CAD Tools (SDB, NM, ZGV, SC, AG, RG, MG, KL, ZZ, SS), pp. 427–432.
DACDAC-1996-EliasM #modelling
Extracting Circuit Models for Large RC Interconnections that are Accurate up to a Predefined Signal Frequency (PJHE, NPvdM), pp. 764–769.
DACDAC-1996-KernsY #analysis #congruence #multi #network #performance #reduction
Stable and Efficient Reduction of Large, Multiport RC Networks by Pole Analysis via Congruence Transformations (KJK, ATY), pp. 280–285.
DACDAC-1996-LevittO #pipes and filters #verification
A Scalable Formal Verification Methodology for Pipelined Microprocessors (JRL, KO), pp. 558–563.
DACDAC-1996-RoychowdhuryM
Homotopy Techniques for Obtaining a DC Solution of Large-Scale MOS Circuits (JSR, RCM), pp. 286–291.
HPCAHPCA-1996-RaynaudZT #adaptation #multi #protocol
Distance-Adaptive Update Protocols for Scalable Shared-Memory Multiprocessors (AR, ZZ, JT), pp. 323–334.
PDPPDP-1996-CauZCM #simulation #specification #using
Using ITL and Tempura for Large-Scale Specification and Simulation (AC, HZ, NC, BCM), pp. 493–500.
PDPPDP-1996-DubouxF #distributed #performance #taxonomy
Achieving Good Performance for Dictionary Machines: A Scalable Distributed Data Balancing Technique (TD, AF), pp. 266–273.
PDPPDP-1996-Lloyd #matrix #parallel
Parallel Formulations of Matrix-Vector Multiplication for Matrices with Large Aspect Ratios (JL), pp. 102–108.
STOCSTOC-1996-KosarajuD #assembly #string
Large-Scale Assembly of DNA Strings and Space-Efficient Construction of Suffix Trees (Correction) (SRK, ALD), p. 659.
CADECADE-1996-ParkG #clustering #satisfiability #testing
Partitioning Methods for Satisfiability Testing on Large Formulas (TJP, AVG), pp. 748–762.
ADLADL-1995-BouguettayaM #database
Data Discovery in Large Scale Heterogeneous and Autonomous Databases (AB, SM), pp. 149–166.
ADLADL-1995-Smarr
Building a Scalable America (LS), pp. 35–42.
ICDARICDAR-v1-1995-MankeFW #independence #online #recognition
NPen/sup ++/: a writer independent, large vocabulary on-line cursive handwriting recognition system (SM, MF, AW), pp. 403–408.
ICDARICDAR-v2-1995-YuSS
A system for recognizing a large class of engineering drawings (YY, AS, SCS), pp. 791–794.
SIGMODSIGMOD-1995-FreedmanD #on-demand
The SPIFFI Scalable Video-on-Demand System (CSF, DJD), pp. 352–363.
SIGMODSIGMOD-1995-HernandezS #database #problem
The Merge/Purge Problem for Large Databases (MAH, SJS), pp. 127–138.
SIGMODSIGMOD-1995-KeimK #database #named #visualisation
VisDB: A System for Visualizing Large Databases (DAK, HPK), p. 482.
VLDBVLDB-1995-AgrawalLSS #database #performance #similarity
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases (RA, KIL, HSS, KS), pp. 490–501.
VLDBVLDB-1995-Brin #metric
Near Neighbor Search in Large Metric Spaces (SB), pp. 574–584.
VLDBVLDB-1995-HanF #database #multi
Discovery of Multiple-Level Association Rules from Large Databases (JH, YF), pp. 420–431.
VLDBVLDB-1995-Madnick #database #semantics
From VLDB to VMLDB (Very MANY Large Data Bases): Dealing with Large-Scale Semantic Heterogenity (SEM), pp. 11–16.
VLDBVLDB-1995-MillinerBP #architecture #database #interactive #semistructured data
A Scalable Architecture for Autonomous Heterogeneous Database Interactions (SM, AB, MPP), pp. 515–526.
VLDBVLDB-1995-SavasereON #algorithm #database #mining #performance
An Efficient Algorithm for Mining Association Rules in Large Databases (AS, EO, SBN), pp. 432–444.
VLDBVLDB-1995-Spintzik #parallel #platform
Informix-Online XPS: A Dynamically Scalable RDBMS for Open Parallel Platforms (HS), p. 706.
VLDBVLDB-1995-Vaskevitch #database #how #question
Very Large Databases: How Large, How Different? (DV), pp. 677–685.
TFPIEFPLE-1995-JarvisPM #case study #comprehension #education #experience #functional #programming
Understanding LOLITA: Experiences in Teaching Large Scale Functional Programming (SAJ, SP, RGM), pp. 103–119.
WCREWCRE-1995-Baker #on the
On Finding Duplication and Near-Duplication in Large Software Systems (BSB), pp. 86–95.
CHICHI-1995-LampingRP #geometry #visualisation
A Focus+Context Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies (JL, RR, PP), pp. 401–408.
CHICHI-1995-MastaglioW #development
User-Centered Development of a Large-Scale Complex Networked Virtual Environment (TWM, JW), pp. 546–552.
CAiSECAiSE-1995-Aalto #challenge
Challenges in Applying Objects to Large Systems (JMA), pp. 154–167.
CIKMCIKM-1995-LiuP #database #distributed
The Distributed Interoperable Object Model and Its Application to Large-scale Interoperable Database Systems (LL, CP), pp. 105–112.
ICMLICML-1995-LittmanCK #learning #policy
Learning Policies for Partially Observable Environments: Scaling Up (MLL, ARC, LPK), pp. 362–370.
KDDKDD-1995-ChanS #machine learning
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning (PKC, SJS), pp. 39–44.
KDDKDD-1995-EsterKX #clustering #database #interface
A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.
KDDKDD-1995-StolorzNMMSSYNCMF #data mining #dataset #mining #performance
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets (PES, HN, EM, RRM, ECS, JRS, JY, KWN, SYC, CRM, JDF), pp. 300–305.
SEKESEKE-1995-Eick #visualisation
Software Visualization For Large Systems (SGE), p. 293.
SIGIRSIGIR-1995-MittendorfSS #library #probability
Applying Probabilistic Term Weighting to OCR Text in the Case of a Large Alphabetic Library Catalogue (EM, PS, PS), pp. 328–335.
ESECESEC-1995-BrownCCMSWW #case study #quality
Assessing the Quality of Large, Software-Intensive Systems: A Case Study (AWB, DJC, PCC, BCM, DBS, NHW, WGW), pp. 384–404.
FSEFSE-1995-PorterSTV #development #empirical
An Experiment to Assess the Cost-Benefits of Code Inspections in Large Scale Software Development (AAP, HPS, CAT, LGV), pp. 92–103.
ICSEICSE-1995-BriandMSB #maintenance
Characterizing and Assessing a Large-Scale Software Maintenance Organization (LCB, WLM, CBS, VRB), pp. 133–143.
ASEKBSE-1995-FeldmanF #automation #case study
Portability by Automatic Translation — A Large-Scale Case Study (YAF, DF), pp. 123–130.
SACSAC-1995-KaradimitriouTB #re-engineering #reverse engineering
Reverse engineering and reengineering of a large serial system into a distributed-parallel version (KK, JMT, NEB), pp. 191–197.
SACSAC-1995-LuoD #algorithm #matrix #parallel
A scalable parallel Strassen’s matrix multiplication algorithm for distributed-memory computers (QL, JBD), pp. 221–226.
DACDAC-1995-FeldmannF #algorithm #linear #modelling
Reduced-Order Modeling of Large Linear Subcircuits via a Block Lanczos Algorithm (PF, RWF), pp. 474–479.
DACDAC-1995-LiuPD #performance
A Fast State Assignment Procedure for Large FSMs (SL, MP, AMD), pp. 327–332.
DACDAC-1995-NakamuraY #clustering #logic #matrix #optimisation
A Partitioning-Based Logic Optimization Method for Large Scale Circuits with Boolean Matrix (YN, TY), pp. 653–657.
DACDAC-1995-SwartzS #standard
Timing Driven Placement for Large Standard Cell Circuits (WS, CS), pp. 211–215.
HPCAHPCA-1995-KontothanassisS #multi
Software Cache Coherence for Large Scale Multiprocessors (LIK, MLS), pp. 286–295.
HPDCHPDC-1995-DowdPCHC #clustering #configuration management #named #network
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering (PWD, JAP, JCC, DCH, DC), pp. 220–229.
HPDCHPDC-1995-Mirza #parallel
NOWs, MMPs, and Scalable Parallel Systems (JHM), p. 3.
ISMMIWMM-1995-SuzukiKT #named #performance
MOA — A Fast Sliding Compaction Scheme for a Large Storage Space (MS, HK, MT), pp. 197–210.
PDPPDP-1995-DApuzzoL #linear #parallel
A parallel row projection solver for large sparse linear systems (MD, ML), pp. 432–443.
PDPPDP-1995-DormannsH #clustering #self
Partitioning and mapping of large FEM-graphs by self-organization (MD, HUH), pp. 227–235.
PDPPDP-1995-StrohschneiderKW #communication #data flow #network
An associative communication network for fine and large grain dataflow (JS, BK, KW), pp. 324–331.
SOSPSOSP-1995-NelsonLO
A Highly Available, Scalable ITV System (MNN, MAL, SSO), pp. 54–67.
STOCSTOC-1995-KosarajuD #assembly #string
Large-scale assembly of DNA strings and space-efficient construction of suffix trees (SRK, ALD), pp. 169–177.
DLDL-1994-SmotroffHB #natural language #visualisation
Integrating Natural Language With Large Dataspace Visualization (IS, LH, SB), pp. 209–223.
SIGMODSIGMOD-1994-Englert #sql
NonStop SQL: Scalability and Availability for Decision Support (SE), p. 491.
SIGMODSIGMOD-1994-GrossmanQ #named #persistent
Ptool: A Scalable Persistent Object Manager (RLG, XQ), p. 510.
SIGMODSIGMOD-1994-VingralekBW #distributed #performance
Distributed File Organization with Scalable Cost/Performance (RV, YB, GW), pp. 253–264.
VLDBVLDB-1994-AgrawalS #algorithm #database #mining #performance
Fast Algorithms for Mining Association Rules in Large Databases (RA, RS), pp. 487–499.
VLDBVLDB-1994-AnandBH #database #empirical #performance
An Empirical Performance Study of the Ingres Search Accelerator for a Large Property Management Database System (SSA, DAB, JGH), pp. 676–685.
VLDBVLDB-1994-LitwinNS #data type #distributed #order #product line
RP*: A Family of Order Preserving Scalable Distributed Data Structures (WL, MAN, DAS), pp. 342–353.
CHICHI-1994-GoldsteinR94a #query #set #using
Using aggregation and dynamic queries for exploring large data sets (JG, SFR), pp. 23–29.
CHICHI-1994-TaniHYTF94a #named #overview
Courtyard: integrating shared overview on a large screen and per-user detail on individual screens (MT, MH, KY, KT, MF), pp. 44–50.
CSCWCSCW-1994-PacullSS #collaboration #distributed #editing #named
Duplex: A Distributed Collaborative Editing Environment in Large Scale (FP, AS, AS), pp. 165–173.
CSCWCSCW-1994-StarR #collaboration #design #framework #problem #towards
Steps Towards an Ecology of Infrastructure: Complex Problems in Design and Access for Large-Scale Collaborative Systems (SLS, KR), pp. 253–264.
CAiSECAiSE-1994-Freitag #reuse
A Hypertext-Based Tool for Large Scale Software Reuse (BF), pp. 283–296.
CIKMCIKM-1994-GohMS #challenge #database
Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment (CHG, SEM, MS), pp. 337–346.
CIKMCIKM-1994-KarpPG #information management #representation
A Storage System for Scalable Knowledge Representation (PDK, SMP, IG), pp. 97–104.
CIKMCIKM-1994-KlemettinenMRTV #set
Finding Interesting Rules from Large Sets of Discovered Association Rules (MK, HM, PR, HT, AIV), pp. 401–407.
KDDKDD-1994-Siebes #database
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases (AS), pp. 97–108.
KDDKDD-1994-SmythBFP #database #image #information management #nondeterminism
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth (PS, MCB, UMF, PP), pp. 109–120.
SIGIRSIGIR-1994-HershBLH #evaluation #interactive #named #research #retrieval
OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research (WRH, CB, TJL, DHH), pp. 192–201.
TOOLSTOOLS-EUROPE-1994-Osmond #experience #named
Keynote: Large Project Experience (RO), p. 5.
AdaEuropeAdaEurope-1994-Heitz #composition #distributed #generative #object-oriented #programming #realtime
Integrating Modular, Object Oriented Programming and Application Generator Technologies in Large Real Time and Distributed Developments (MH), pp. 130–146.
AdaTRI-Ada-1994-KruchtenT #ada #architecture #distributed #object-oriented
An Object-Oriented, Distributed Architecture for Large-Scale Ada Systems (PK, CJT), pp. 262–271.
AdaTRI-Ada-1994-Sartore #ada #database #realtime
Large Database Ada Program for Real Time Laboratory Instrument Control and Data Acquisition (RGS), pp. 406–416.
FSEFSE-1994-BatoryTS #compilation #data type #re-engineering #using
Reengineering a Complex Application Using a Scalable Data Structure Compiler (DSB, JT, MS), pp. 111–120.
FSEFSE-1994-CorbettA #analysis #composition #towards
Towards Scalable Compositional Analysis (JCC, GSA), pp. 53–61.
ICSEICSE-1994-MayrhauserV #comprehension #maintenance #process
Comprehension Processes During Large Scale Maintenance (AvM, AMV), pp. 39–48.
ASEKBSE-1994-Bolcer #design #development #user interface
User Interface Design Assistance For Large-Scale Software Development (GAB), pp. 142–149.
SACSAC-1994-Poulin #library #reuse
Balancing the need for large corporate and small domain-specific reuse libraries (JSP), pp. 88–93.
ASPLOSASPLOS-1994-BershadLRC
Avoiding Conflict Misses Dynamically in Large Direct-Mapped Caches (BNB, DL, THR, JBC), pp. 158–170.
DACDAC-1994-HachtelMPS #analysis #finite #probability #state machine
Probabilistic Analysis of Large Finite State Machines (GDH, EM, AP, FS), pp. 270–275.
DACDAC-1994-PomeranzR #combinator #fault #using
Design-for-Testability for Path Delay Faults in Large Combinatorial Circuits Using Test-Points (IP, SMR), pp. 358–364.
DACDAC-1994-Radtke #design #hardware #process
The AT&T 5ESS Hardware Design Environment: A Large System’s Hardware design Process (KAR), pp. 527–531.
DACDAC-1994-RiessDJ #clustering #using
Partitioning Very Large Circuits Using Analytical Placement Techniques (BMR, KD, FMJ), pp. 646–651.
HPDCHPDC-1994-BlumofeP #network #parallel #scheduling
Scheduling Large-Scale Parallel Computations on Networks of Workstations (RDB, DSP), pp. 96–105.
HPDCHPDC-1994-KremienK #distributed #performance
Providing High Performance Distributed Computing Through Scalable Computation Servers (OK, JK), pp. 70–77.
HPDCHPDC-1994-TakamuraT #communication #performance #protocol
Large-Scale Group Communication Protocol on High-Speed Channel (MT, MT), pp. 254–261.
STOCSTOC-1994-AlonYZ #graph #named
Color-coding: a new method for finding simple paths, cycles and other small subgraphs within large graphs (NA, RY, UZ), pp. 326–335.
STOCSTOC-1994-BrewerCL #random
Scalable expanders: exploiting hierarchical random wiring (EAB, FTC, TL), pp. 144–152.
STOCSTOC-1994-LiptonY #complexity #game studies
Simple strategies for large zero-sum games with applications to complexity theory (RJL, NEY), pp. 734–740.
HTHT-1993-Noik #network
Exploring Large Hyperdocuments: Fisheye Views of Nested Networks (EGN), pp. 192–205.
ICDARICDAR-1993-CaesarGM93a #adaptation #classification #set
Utilization of large disordered sample sets for classifier adaptation in complex domains (TC, JMG, EM), pp. 790–793.
ICDARICDAR-1993-HochK #clustering #on the #recognition
On virtual partitioning of large dictionaries for contextual post-processing to improve character recognition (RH, TK), pp. 226–231.
ICDARICDAR-1993-RoseE #analysis #recognition #semantics
Semantic analysis for large vocabulary cursive script recognition (TGR, LJE), pp. 236–239.
SIGMODSIGMOD-1993-AgrawalIS #database #mining #set
Mining Association Rules between Sets of Items in Large Databases (RA, TI, ANS), pp. 207–216.
SIGMODSIGMOD-1993-KolodnerW #garbage collection #incremental
Atomic Incremental Garbage Collection and Recovery for a Large Stable Heap (EKK, WEW), pp. 177–186.
SIGMODSIGMOD-1993-TomasicG #database #distributed #information retrieval
Caching and Database Scaling in Distributed Shard-Nothing Information Retrieval Systems (AT, HGM), pp. 129–138.
VLDBVLDB-1993-Cohen #database #query
A Practical Issue Concerning Very Large Data Bases: The Need for Query Governors (GC), pp. 705–706.
VLDBVLDB-1993-ZobelMS #using
Searching Large Lexicons for Partially Specified Terms using Compressed Inverted Files (JZ, AM, RSD), pp. 290–301.
ICSMECSM-1993-SneedN #source code
Downsizing Large Application Programs (HMS, EN), pp. 110–119.
WCREWCRE-1993-CutilloFV #component #identification #independence #source code
Identification and Extraction of “Domain Independent” Components in Large Programs (FC, PF, GV), pp. 83–92.
WCREWCRE-1993-NewcombM #automation #cobol #composition #re-engineering #source code
Automating the Modularization of Large COBOL Programs: Application of an Enabling Technology for Reengineering (PN, LM), pp. 222–230.
FPCAFPCA-1993-PageM #experience #functional
Experience with a Large Scientific Application in a Functional Language (RLP, BDM), pp. 3–11.
HCIHCI-SHI-1993-ReimersC #database #relational #user interface
Intelligent User Interface for Very Large Relational Databases (PER, SMC), pp. 134–139.
HCIHCI-SHI-1993-TakeguchiTO #analysis #information management #representation
A Knowledge Representation for Large Scale Integrated Circuit Failure Analysis (YT, TT, SO), pp. 92–97.
CAiSECAiSE-1993-Seltveit #approach #development #information management
An Abstraction-Based Rule Approach to Large-Scale Information Systems Development (AHS), pp. 328–351.
CIKMCIKM-1993-Tayar #knowledge base
A Model for Developing Large Shared Knowledge Bases (NT), pp. 717–719.
ICMLICML-1993-FayyadWD #automation #machine learning #named
SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys (UMF, NW, SGD), pp. 112–119.
ICMLICML-1993-Lin #learning
Scaling Up Reinforcement Learning for Robot Control (LJL), pp. 182–189.
ICMLICML-1993-MusickCR #database #induction
Decision Theoretic Subsampling for Induction on Large Databases (RM, JC, SJR), pp. 212–219.
SEKESEKE-1993-ChuP #reuse #using
A Re-cnginacring Tool for the Reuse of Large Scale Software Systems (WCC, SP), pp. 94–101.
SEKESEKE-1993-Pirlein #independence #knowledge base #reuse
Reusing a Large Domain-Independent Knowledge Base (TP), pp. 474–482.
SIGIRSIGIR-1993-CuttingKP #constant #documentation
Constant Interaction-Time Scatter/Gather Browsing of Very Large Document Collections (DRC, DRK, JOP), pp. 126–134.
SIGIRSIGIR-1993-FullerMSW #documentation
Coherent Answers for a Large Structured Document Collection (MF, EM, RSD, RW), pp. 204–213.
SIGIRSIGIR-1993-LinoffS #database
Compression of Indexes with Full Positional Information in Very Large Text Databases (GL, CS), pp. 88–95.
TOOLSTOOLS-EUROPE-1993-Bennett #architecture #object-oriented
OO Architectures for Large Business Applications (DB), p. 341.
TOOLSTOOLS-USA-1993-Brandis #c++ #design #using
An O-O Case History: Large System Design Using C++ (CB), p. 534.
TOOLSTOOLS-USA-1993-Firesmith93a #development #named #object-oriented #realtime
ADM4: an Object-Oriented Development Method for Large, Complex Real Time Systems (DF), p. 558.
TOOLSTOOLS-USA-1993-SinghG #concept #object-oriented
Extending Object-Oriented Concepts to Support Large Scale Business Systems (MSS, NNG), pp. 501–507.
AdaEuropeAdaEurope-1993-BundyM #ada #exception
Error-Prone Exception Handling in Large Ada Systems (GNB, DEM), pp. 153–170.
PEPMPEPM-1993-Prestwich #deduction #online #source code
Online Partial Deduction of Large Programs (SDP), pp. 111–118.
PLDIPLDI-1993-AndersonL #locality #optimisation #parallel
Global Optimizations for Parallelism and Locality on Scalable Parallel Machines (JAMA, MSL), pp. 112–125.
PPDPPLILP-1993-KesslerR #performance
Efficient Register Allocation for Large Basic Blocks (CWK, TR), pp. 418–419.
POPLPOPL-1993-Snir #architecture #modelling #parallel #programming
Computer Architectures and Programming Models for Scalable Parallel Computing (MS), p. 1.
ESECESEC-1993-PerryS #case study #evolution #fault #realtime
Software Faults in Evolving a Large, Real-Time System: a Case Study (DEP, CSS), pp. 48–67.
FSEFSE-1993-BatorySST #library
Scalable Software Libraries (DSB, VS, MS, JT), pp. 191–199.
ICSEICSE-1993-TamaiI #analysis #backtracking #design #development #process #requirements
Requirements and Design Change in Large-Scale Software Development: Analysis From the Viewpoint of Process Backtracking (TT, AI), pp. 167–176.
ASEKBSE-1993-Jr. #development #research
A researcher’s view of life in a large software development environment (ESJ), p. 4.
DACDAC-1993-ClarkeMZFY
Spectral Transforms for Large Boolean Functions with Applications to Technology Mapping (EMC, KLM, XZ, MF, JY), pp. 54–60.
DACDAC-1993-WangDNS #architecture #multi #synthesis #using
High-Level Synthesis of Scalable Architectures for IIR Filters using Multichip Modules (HW, NDD, AN, KYS), pp. 336–342.
HPDCHPDC-1993-ChenFFFRWY #distributed #interface #programming #prototype
A Low-Latency Programming Interface and a Prototype Switch for Scalable High-Performance Distributed Computing (TC, JF, GF, GF, SR, BW, FKY), pp. 160–168.
HPDCHPDC-1993-DowdBAP #analysis #architecture #design
Design and Analysis of a Hierarchical Scalable Photonic Architecture (PWD, KB, KAA, JAP), pp. 289–296.
HPDCHPDC-1993-Skjellum #library
Scalable Libraries in a Heterogeneous Environment (AS), pp. 13–20.
PDPPDP-1993-StuartW #algorithm #array #matrix #parallel #set #symmetry #using
An algorithm far the parallel computation of subsets of eigenvalues and associated eigenvectors of large symmetric matrices using an array processor (EJS, JSW), pp. 211–217.
ICLPILPS-1993-Vargas-VeraVR #editing #prolog #source code #using
Building Large-Scale Prolog Programs using a Techniques Editing System (MVV, WWV, DSR), p. 636.
PODSPODS-1992-Rotem #analysis
Analysis of Disk Arm Movement for Large Sequential Reads (DR), pp. 47–54.
SIGMODSIGMOD-1992-Biliris #database #performance
The Performance of Three Database Storage Structures for Managing Large Objects (AB), pp. 276–285.
SIGMODSIGMOD-1992-HoelS #comparison #data type #database
A Qualitative Comparison Study of Data Structures for Large Line Segment Databases (EGH, HS), pp. 205–214.
SIGMODSIGMOD-1992-MohanN #algorithm
Algorithms for Creating Indexes for Very Large Tables Without Quiescing Updates (CM, IN), pp. 361–370.
VLDBVLDB-1992-DelisR #architecture #database #performance
Performance and Scalability of Client-Server Database Architectures (AD, NR), pp. 610–623.
CHICHI-1992-ElrodBGGHJLMPPTW #collaboration #interactive #named
Liveboard: A Large Interactive Display Supporting Group Meetings, Presentations, and Remote Collaboration (SE, RB, RG, DG, FGH, WCJJ, DL, KM, ERP, KAP, JCT, BBW), pp. 599–607.
CHICHI-1992-MrazekR #usability
Integrating Human Factors on a Large Scale: Product Usability Champions (DM, MR), pp. 565–570.
CSCWCSCW-1992-GronbaekKM #case study #challenge
CSCW Challenges in Large-Scale Technical Projects — A Case Study (KG, MK, PM), pp. 338–345.
ICMLML-1992-Singh #algorithm #learning #modelling
Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models (SPS), pp. 406–415.
SIGIRSIGIR-1992-BartellCB #multi #semantics
Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling (BTB, GWC, RKB), pp. 161–167.
SIGIRSIGIR-1992-CuttingPKT #approach #clustering #documentation #named
Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections (DRC, JOP, DRK, JWT), pp. 318–329.
ECOOPECOOP-1992-LauS #heuristic #library #object-oriented #parallel
An Object-Oriented Class Library for Scalable Parallel Heuristic Search (WCL, VS), pp. 252–267.
OOPSLAOOPSLA-1992-Walsh #c++ #development #fault
Preliminary Defect Data from the Iterative Development of a Large C++ Program (JFW), pp. 178–183.
TOOLSTOOLS-PACIFIC-1992-Ratjens #information management
Discovering Classes and their Properties in Large-Scale Management Information Systems (MR), pp. 53–65.
TOOLSTOOLS-USA-1992-Cohen #framework #object-oriented
An Object-Oriented Framework for Large Scale Geographic Systems (FC), pp. 25–39.
AdaEuropeAdaEurope-1992-DuellSW #ada #code generation #source code #using
Using Ada Source Code Generators in a Large Project (RD, HJS, FCAdW), pp. 47–59.
PLDIPLDI-1992-DhamdhereRZ #how #source code
How to Analyze Large Programs Efficiently and Informatively (DMD, BKR, FKZ), pp. 212–223.
AdaTRI-Ada-C-1992-BerryS #ada #case study #experience #re-engineering #requirements
Estimating Requirements for a Large Software Engineering Project: Experiences with Ada COCOMO on SIDPERS-3 (RHB, RMS), pp. 375–383.
AdaTRI-Ada-C-1992-Strong #development #identification #lifecycle #object-oriented
Identifying a Complete Object Oriented Life Cycle for Large Systems Development (NSS), pp. 166–175.
ICSEICSE-1992-MargonoR #ada #analysis #reuse
Software Reuse Economics: Cost-Benefit Analysis on a Large-Scale Ada Project (JM, TER), pp. 338–348.
ASEKBSE-1992-Selfridge #design #development
Managing Design Knowledge to Provide Assistance to Large-Scale Software Development (PGS), p. 24.
SOSPSOSP-WIP-1991-WalpoleS92 #distributed #multi
Supporting Access to Stored Multimedia Data in Large Distributed Systems (JW, RS), p. 28.
ASPLOSASPLOS-1992-HillLRW #hardware #memory management #multi
Cooperative Shared Memory: Software and Hardware Support for Scalable Multiprocesors (MDH, JRL, SKR, DAW), pp. 262–273.
HPDCHPDC-1992-GuhaA #distributed
A Scalable Packet Switch for Distributed Computing (AG, MA), pp. 85–93.
ISMMIWMM-1992-VenkatasubramanianAT #distributed #garbage collection
Scalable Distributed Garbage Collection for Systems of Active Objects (NV, GA, CLT), pp. 134–147.
CAVCAV-1992-JainKG #towards #verification
Towards a Verification Technique for Large Synchronous Circuits (PJ, PK, GG), pp. 109–122.
HTHT-1991-MalcolmPS #enterprise #hypermedia #industrial #requirements
Industrial Strength Hypermedia: Requirements for a Large Engineering Enterprise (KCM, SEP, DS), pp. 13–24.
VLDBVLDB-1991-SegevZ #data transformation
Data Management for Large Rule Systems (AS, JLZ), pp. 297–307.
ICMLML-1991-MahadevanC #architecture #learning
Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture (SM, JC), pp. 328–332.
ICMLML-1991-Shen #knowledge base
Discovering Regularities from Large Knowledge Bases (WMS), pp. 539–543.
ICMLML-1991-Wixson #composition #learning
Scaling Reinforcement Learning Techniques via Modularity (LEW), pp. 3368–372.
SIGIRSIGIR-1991-DanzigANO #distributed #information retrieval
Distributed Indexing: A Scalable Mechanism for Distributed Information Retrieval (PBD, JSA, JN, KO), pp. 220–229.
AdaEuropeAdaEurope-1991-LippensA #embedded #realtime #testing
Testing and Integrating a Large Embedded Real-Time System (JML, JA), pp. 404–411.
ESECESEC-1991-BarghoutiK #development #rule-based
Scaling Up Rule-Based Software Development Environments (NSB, GEK), pp. 380–395.
ESECESEC-1991-Robinson #automation
CASE Support for Large Systems (DR), pp. 504–508.
ASEKBSE-1991-RameshD #development #maintenance #process #representation
Representation and Maintenance of Process Knowledge for Large Scale Systems Development (BR, VD), pp. 223–231.
ASEKBSE-1991-Yu #maintenance
LARGE Software System Maintenance (BY), pp. 171–177.
ASPLOSASPLOS-1991-ChaikenKA
LimitLESS Directories: A Scalable Cache Coherence Scheme (DC, JK, AA), pp. 224–234.
PPoPPPPoPP-1991-KungSGK #network #performance
Parallelizing a New Class of Large Applications over High-speed Networks (HTK, PS, MG, MK), pp. 167–177.
PPoPPPPoPP-1991-Mellor-CrummeyS #multi
Scalable Reader-Writer Synchronization for Shared-Memory Multiprocessors (JMMC, MLS), pp. 106–113.
ESOPESOP-J-1990-Thatte91 #type system
A Type System for Implicit Scaling (ST), pp. 217–245.
ICLPICLP-1991-Taki #parallel #programming
Parallel Programming and Large-scale Applications in the FGCS Project (KT), p. 949.
ICLPISLP-1991-FilkornSTW #case study #design #experience #industrial
Experiences from a Large Industrial Circuit Design Application (TF, RS, ET, PW), pp. 581–595.
ICLPISLP-1991-Furukawa #generative #information management #towards
Fifth Generation Computer Project: Towards Large-Scale Knowledge Information Processing (KF), pp. 719–731.
SIGMODSIGMOD-1990-IoannidisK #algorithm #optimisation #query #random
Randomized Algorithms for Optimizing Large Join Queries (YEI, YCK), pp. 312–321.
ICGTGG-1990-BaileyCF #graph #programming
Programming with Very Large Graphs (DAB, JEC, CDF), pp. 84–97.
ICSEICSE-1990-Royce #ada #development #incremental #process
TRW’s Ada Process Model for Incremental Development of Large Software Systems (WR), pp. 2–11.
ESOPESOP-1990-Thatte #type inference
Type Inference and Implicit Scaling (ST), pp. 406–420.
SIGMODSIGMOD-1989-AgrawalBJ #knowledge base #performance #transitive
Efficient Management of Transitive Relationships in Large Data and Knowledge Bases (RA, AB, HVJ), pp. 253–262.
SIGMODSIGMOD-1989-Swami #combinator #heuristic #optimisation #query
Optimization of Large Join Queries: Combining Heuristic and Combinatorial Techniques (ANS), pp. 367–376.
SIGMODSIGMOD-1989-Troyer #constraints #database
RIDL*: A Tool for the Computer-Assisted Engineering of Large Databases in the Presence of Integrity Constraints (ODT), pp. 418–429.
CSEETSEI-1989-Tomayko #education #maintenance #using
Teaching Maintenance Using Large Software Artifacts (JET), pp. 3–15.
CHICHI-1989-GrudinP #communication #coordination #design #user interface
User interface design in large corporations: coordination and communication across disciplines (JG, SEP), pp. 197–203.
ICSEICSE-1989-Fox #development #lifecycle #performance
Performance Engineering as a Part of the Development Life Cycle for Large-Scale Software Systems (GF), pp. 85–94.
ICSEICSE-1989-GalloST #approach #configuration management #named #object-oriented
ObNet: An Object-Oriented Approach for Supporting Large, Long-Lived, Highly Configurable Systems (TG, GS, FT), pp. 138–144.
ICSEICSE-1989-KozaczynskiN #knowledge-based #named #process #re-engineering
SRE: A Knowledge-Based Environment for Large-Scale Software Re-Engineering Activities (WK, JQN), pp. 113–122.
ASPLOSASPLOS-1989-GibsonHKKP #array
Failure Correction Techniques for Large Disk Arrays (GAG, LH, RMK, RHK, DAP), pp. 123–132.
ASPLOSASPLOS-1989-GoodmanVW #multi
Efficent Synchronization Primitives for Large-Scale Cache-Coherent Multiprocessors (JRG, MKV, PJW), pp. 64–75.
DACDAC-1989-OdentCM #feedback #implementation #multi
Feedback Loops and Large Subcircuits in the Multiprocessor Implementation of a Relaxation Based Circuit Simulator (PO, LJMC, HDM), pp. 25–30.
SOSPSOSP-1989-Rosenburg #consistency #multi
Low-Synchronization Translation Lookaside Buffer Consistency in Large-Scale Shared-Memory Multiprocessors (BSR), pp. 137–146.
SIGMODSIGMOD-1988-Haynie #automation #database #design
A DBMS for Large Design Automation Databases (MNH), pp. 269–276.
SIGMODSIGMOD-1988-Selinger #database
Issues in Building Large Database Systems (PGS), p. 6.
SIGMODSIGMOD-1988-SellisLR #algorithm #concept #implementation
Implementing Large Production Systems in a DBMS Environment: Concepts and Algorithms (TKS, CCL, LR), pp. 404–412.
SIGMODSIGMOD-1988-SwamiG #optimisation #query
Optimization of Large Join Queries (ANS, AG), pp. 8–17.
VLDBVLDB-1988-AgrawalJ #database #performance
Efficient Search in Very Large Databases (RA, HVJ), pp. 407–418.
VLDBVLDB-1988-FaloutsosC #comparison #data access #design #performance
Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison (CF, RC), pp. 280–293.
VLDBVLDB-1988-KentSR #database #multi
A Superimposed Coding Scheme Based on Multiple Block Descriptor Files for Indexing Very Large Data Bases (AJK, RSD, KR), pp. 351–359.
VLDBVLDB-1988-Lynch #database #estimation #optimisation #query
Selectivity Estimation and Query Optimization in Large Databases with Highly Skewed Distribution of Column Values (CAL), pp. 240–251.
VLDBVLDB-1988-Rougemont #algorithm #fixpoint #representation #semantics
Fixed-point semantics and the representation of algorithms on large data (MdR), pp. 264–272.
SIGIRSIGIR-1988-Case #comprehension #how #retrieval #using
How Do the Experts Do It? The Use of Ethnographic Methods as an Aid to Understanding the Cognitive Processing and Retrieval of Large Bodies of Text (DOC), pp. 127–133.
SIGIRSIGIR-1988-Ledwith #concept #database #development #information retrieval
Development of a Large, Concept-Oriented Database for Information Retrieval (RHL), pp. 651–661.
ICSEICSE-1988-Roman #concurrent #visualisation
Language and Visualization Support for Large-Scale Concurrency (GCR), pp. 296–308.
DACDAC-1988-KuoF #configuration management
Spare Allocation and Reconfiguration in Large Area VLSI (SYK, WKF), pp. 609–612.
PPoPPPPEALS-1988-LeBlancSB #experience #parallel #programming
Large-Scale Parallel Programming: Experience with the BBN Butterfly Parallel Processor (TJL, MLS, CMB), pp. 161–172.
ICLPJICSCP-1988-BiswasSY88 #automaton #logic programming #parallel #source code #strict
A Scalable Abstract Machine Model to Support Limited-OR (LOR) / Restricted-AND Parallelism (RAP) in Logic Programs (PB, SCS, DYYY), pp. 1160–1179.
VLDBVLDB-1987-LiRW #database #performance
A New Compression Method with Fast Searching on Large Databases (JL, DR, HKTW), pp. 311–318.
HCIHCI-SES-1987-Miller
Small Windows on a Large System (DPM), pp. 105–112.
SIGIRSIGIR-1987-RabittiS #approach #database #image #retrieval
An Approach to Image Retrieval from Large Image Databases (FR, PLS), pp. 284–295.
ICSEICSE-1987-Benington #source code
Production of Large Computer Programs (HDB), pp. 299–310.
ICSEICSE-1987-Royce #concept #development
Managing the Development of Large Software Systems: Concepts and Techniques (WWR), pp. 328–339.
ICSEICSE-1987-Winkler #product line #source code #version control
Version Control in Families of Large Programs (JFHW), pp. 150–165.
DACDAC-1987-LiuSU #array #design #logic #named #programmable #self
BIST-PLA: A Built-in Self-Test Design of Large Programmable Logic Arrays (CYL, KKS, SJU), pp. 385–391.
DACDAC-1987-Smith #hardware
A Hardware Switch Level Simulator for Large MOS Circuits (MTS), pp. 95–100.
SIGMODSIGMOD-1986-Bitton #database #in memory #memory management
The Effect of Large Main memory on Database Systems (DB), pp. 337–339.
VLDBVLDB-1986-MoriSAI #database
A Very Large Database System to Serve National Welfare (MM, KS, HA, KI), pp. 496–501.
VLDBVLDB-1986-WongL #algorithm #database
Transposition Algorithms on Very Large Compressed Databases (HKTW, JZL), pp. 304–311.
SIGIRSIGIR-1986-Zarri #database #relational #retrieval #using
The Use of Inference Mechanisms to Improve the Retrieval Facilities from Large Relational Databases (GPZ), pp. 221–227.
OOPSLAOOPSLA-1986-JackyK #approach #object-oriented
An Object-Oriented Approach to a Large Scientific Application (JJ, IK), pp. 368–376.
OOPSLAOOPSLA-1986-Jacobson #realtime
Language Support for Changeable Large Real Time Systems (IJ), pp. 377–384.
DACDAC-1986-MiyoshiOSOA #design #logic #simulation
An extensive logic simulation method of very large scale computer design (MM, YO, AS, NO, NA), pp. 360–365.
DACDAC-1986-OhnoMYOKI #design
Principles of design automatioon system for very large scale computer design (YO, MM, NY, TO, TK, KI), pp. 354–359.
DACDAC-1986-TadaH #performance
Router system for printed wiring boards of very high-speed, very large-scale computers (TT, AH), pp. 791–797.
DACDAC-1986-ToyoshimaTMHHKT #analysis #design #effectiveness
An effective delay analysis system for a large scale computer design (RT, YT, KM, HH, MH, RK, KT), pp. 398–403.
DACDAC-1986-TsuchiyaMITMY #design #logic
Establishment of higher level logic design for very large scale computer (YT, MM, YI, ET, TM, TY), pp. 366–371.
ICLPICLP-1986-RamamohanaraoS86 #database #prolog
A Superimposed Codeword Indexing Scheme for Very Large Prolog Databases (KR, JS), pp. 569–576.
SOSPSOSP-1985-GiffordBBL #architecture #information management
An Architecture for Large Scale Information Systems (DKG, RWB, STB, JML), pp. 161–170.
ICLPSLP-1985-ChomickiM85 #programming #prolog #source code #towards
Towards a Programming Environment for Large Prolog Programs (JC, NHM), pp. 230–241.
VLDBVLDB-1984-Childs #capacity #database #design
Inexpensive Large Capacity Storage will Revolutionize the Design of Database Management Systems (DLC), p. 441.
VLDBVLDB-1984-Tagg #automation #database
End User Access to Very Large Databases in an Automated Office/Workstation Environment (RMT), pp. 272–279.
LISPLFP-1984-Moon #garbage collection #lisp
Garbage Collection in a Large Lisp System (DAM), pp. 235–246.
ICSEICSE-1984-HozumiSE #development
A Method of Large-Scale Software Development (HH, YS, HE), pp. 520–527.
ICSEICSE-1984-SchefferSR #evaluation
A Large System Evaluation of SREM (PAS, AHSI, WER), pp. 172–180.
DACDAC-1984-Freund #design #testing
Managing a large volume of design/manufacturing/test data in a chip and module factory (VJFJ), pp. 447–451.
STOCSTOC-1984-GabowBT #geometry #problem
Scaling and Related Techniques for Geometry Problems (HNG, JLB, RET), pp. 135–143.
VLDBVLDB-1983-PennyP #novel
Application of Novel Technologies to the Management of a Very Large Date Base (PP, MP), pp. 20–29.
SIGIRSIGIR-1983-FraenkelM #clustering
Combinational Compression and Partitioning of Large Dictionaries: Theory and Experiments (ASF, MM), pp. 205–219.
DACDAC-1983-Chuquillanqui #problem
Internal connection problem in large optimized PLAs (SC), pp. 795–802.
VLDBVLDB-1982-McCarthy #data transformation #database #metadata #statistics
Metadata Management for Large Statistical Databases (JLM), pp. 234–243.
SIGIRSIGIR-1982-Morrissey #feedback #implementation #retrieval
An Intelligent Terminal for Implementing Relevance Feedback on Large Operational Retrieval Systems (JMM), pp. 38–50.
PLDISCC-1982-RudmikM #compilation #performance #source code
An Efficient Separate Compilation Strategy for Very Large Programs (AR, BGM), pp. 301–307.
DACDAC-1982-Adshead #algorithm #complexity #hardware #problem #question #towards
Towards VLSI complexity: The DA algorithm scaling problem: can special DA hardware help? (HGA), pp. 339–344.
DACDAC-1982-ChuquillanquiS #named #optimisation
PAOLA: A tool for topological optimization of large PLAS (SC, TPS), pp. 300–306.
DACDAC-1982-LelarasmeeS #named
Relax: A new circuit for large scale MOS integrated circuits (EL, ALSV), pp. 682–687.
DACDAC-1982-Monachino #design #verification
Design verification system for large-scale LSI designs (MM), pp. 83–90.
ICLPILPC-1982-PereiraP82 #implementation #prolog
A Prolog Implementation of a Large System on a Small Machine (LMP, AP), pp. 225–229.
SIGMODSIGMOD-1981-Robinson #multi
The K-D-B-Tree: A Search Structure For Large Multidimensional Dynamic Indexes (JTR), pp. 10–18.
VLDBVLDB-1981-ChanS #database #named #statistics
SUBJECT: A Directory Driven System for Organizing and Accessing Large Statistical Databases (PC, AS), pp. 553–563.
VLDBVLDB-1981-EggersOS #statistics
A Compression Technique for Large Statistical Data-Bases (SJE, FO, AS), pp. 424–434.
VLDBVLDB-1981-LynchB #database
Application of Data Compression to a Large Bibliographic Data Base (CAL, EBB), pp. 435–447.
DACDAC-1981-GoshimaOKMTO #logic
Diagnostic system for large scale logic cards and LSIs (SG, YO, TK, TM, YT, YO), pp. 256–259.
DACDAC-1981-Ruehli #analysis #logic #modelling #overview #simulation
Survey of analysis, simulation and modeling for large scale logic circuits (AER), pp. 124–129.
DACDAC-1981-SasakiYAHKS #design #verification
Hierarchical design verification for large digital systems (TS, AY, TA, KH, SK, SS), pp. 105–112.
VLDBVLDB-1980-Gotlieb #database
Some Large Questions about Very Large Data Bases (CCG), pp. 3–7.
VLDBVLDB-1980-Walker #database #on the #retrieval
On Retrieval from a Small Version of a Large Data Base (AW), pp. 47–54.
DACDAC-1980-ChelottiB #architecture #automation #design
Design automation at a large architect-engineer (EFC, DPB), pp. 40–49.
DACDAC-1980-McWilliams #constraints #verification
Verification of timing constraints on large digital systems (TMM), pp. 139–147.
DACDAC-1980-SasakiYKNTN #logic #named #verification
MIXS: A mixed level simulator for large digital system logic verification (TS, AY, SK, TN, KT, NN), pp. 626–633.
DACDAC-1980-SingletonC #automation #design
Practical automated design of LSI for large computers (JPS, NRC), pp. 556–559.
STOCSTOC-1980-SadriU #axiom #database #dependence #relational
A Complete Axiomatization for a Large Class of Dependencies in Relational Databases (FS, JDU), pp. 117–122.
CADECADE-1980-EricksonM #proving #theorem proving
The AFFIRM Theorem Prover: Proof Forests and Management of Large Proofs (RWE, DRM), pp. 220–231.
VLDBVLDB-1979-GhoshCMW #database
Some Very Large Data Bases in Developing Countries (SPG, AFC, IM, GW), pp. 173–182.
VLDBVLDB-1979-TurnerHC #database #statistics
A DBMS for Large Statistical Databases (MJT, RH, PC), pp. 319–327.
SIGIRSIGIR-1979-Jamieson #implementation #retrieval #using
The Economic Implementation of Experimental Retrieval Techniques on a Very Large Scale Using an Intelligent Terminal (SHJ), pp. 45–51.
DACDAC-1979-GiambiasiMM #named #network #simulation
SILOG: A practical tool for large digital network simulation (NG, AM, DM), pp. 263–271.
DACDAC-1979-KawatoSMU #design #using #verification
Design and verification of large-scale computers by using DDL (NK, TS, FM, TU), pp. 360–366.
DACDAC-1979-Lichten #design #parametricity
A partial solution to fitting large parametric surfaces in computer-aided design systems (LL), pp. 222–228.
DACDAC-1979-OhnoMS #logic #using #verification
Logic verification system for very large computers using LSI’s (YO, MM, KS), pp. 367–374.
VLDBVLDB-1978-Ashany #analysis #classification #database #matrix #retrieval
Application of Sparse Matrix Techniques to Search, Retrieval, Classification and Relationship Analysis in Large Data Base Systems — SPARCOM (RA), pp. 499–516.
VLDBVLDB-1978-ChenLT #bound #performance
The Rebound Sorter: An Efficient Sort Engine for Large Files (TCC, VYL, CT), pp. 312–318.
DACDAC-1978-Stange #logic #network
A test methodology for large logic networks (GHS), pp. 103–109.
DACDAC-1978-YamadaWFF #automation #fault #generative #testing
Automatic System Level Test Generation and Fault Location for Large Digital Systems (AY, NW, TF, SF), pp. 347–352.
VLDBVLDB-1977-GardarinL #algorithm #consistency #database #nondeterminism #scheduling
Scheduling Algorithms for Avoiding Inconsistency in Large Databases (GG, PL), pp. 501–506.
VLDBVLDB-1977-HultenS #analysis #database #performance #simulation
A Simulation Model for Performance Analysis of Large Shared Data Bases (CH, LS), pp. 524–532.
VLDBVLDB-1977-LangNKF #architecture #database
An Architectural Extension for a Large Database System Incorporating a Processor for Disk Search (TL, EN, KK, EBF), pp. 204–210.
VLDBVLDB-1977-Nickerson #database #memory management
Some Comments on Human Archival Memory as a Very Large Data Base (RSN), pp. 159–168.
VLDBVLDB-1977-Scott #database
Auditing Large Scale Data Bases (GMS), pp. 515–522.
DACDAC-1977-BottorffFGO #generative #logic #network #testing
Test generation for large logic networks (PSB, REF, NHG, EJO), pp. 479–485.
DACDAC-1977-Krohn #design #verification
Design verification of large scientific computers (HEK), pp. 354–361.
DACDAC-1977-MorrisMG #network #simulation #using
Simulation of large communications networks using SPIN (ILM, JM, RG), pp. 194–204.
DACDAC-1977-YamadaWSITF #automation #generative #testing
Automatic test generation for large digital circuits (AY, NW, HS, OI, KT, SF), pp. 78–83.
DACDAC-1977-YoshidaMNCON #layout
A layout checking system for large scale integrated circuits (KY, TM, YN, TC, KO, SN), pp. 322–330.
VLDBVLDB-J-1975-NavatheF76 #abstraction #database
Restructuring for Large Data Bases: Three Levels of Abstraction (SBN, JPF), pp. 138–158.
SIGMODSIGMOD-1976-SeveranceL #database #difference #maintenance
Differential Files: Their Application to the Maintenance of Large Data Bases (DGS, GML), p. 43.
VLDBVLDB-1976-Meltzer #concept #database
Structure and Redundancy in the Conceptual Schema in the Administration of Very Large Data Bases (HSM), pp. 13–25.
DACDAC-1976-ChicoixPG #network #simulation
An accurate time delay model for large digital network simulation (CC, JP, NG), pp. 54–60.
VLDBVLDB-1975-BrowneL #database
An Optimizable Model for Application of Rollback/Restart/Recovery Procedures for Large Data Bases (JCB, GLL), pp. 508–510.
VLDBVLDB-1975-Carlson #database #interactive #problem #using
Using Large Data Bases for Interactive Problem Solving (EDC), pp. 499–501.
VLDBVLDB-1975-GrayLPT #database
Granularity of Locks in a Large Shared Data Base (JG, RAL, GRP, ILT), pp. 428–451.
VLDBVLDB-1975-Hackathorn #database #empirical #process #transaction
Analyzing Transaction Activity to a Large Data Base: An Empirical Study (RDH), pp. 502–504.
VLDBVLDB-1975-HealeyH #architecture #database #hardware
Hardware and System Architecture for a Very Large Database (RH, BH), pp. 520–522.
VLDBVLDB-1975-Manacher #database #implementation #on the #performance #relational
On the Feasibility of Implementing a Large Relational Data Base with Optimal Performance on a Mini-Computer (GKM), pp. 175–201.
VLDBVLDB-1975-NavatheF #abstraction #database
Restructuring for Large Data Bases: Three Levels of Abstraction (SBN, JPF), p. 174.
VLDBVLDB-1975-PeeblesM #architecture #database #distributed
A Computer Architecture for Large (Distributed) Data Bases (RP, EGM), pp. 405–427.
VLDBVLDB-1975-SuL #database #named
CASSM: A Cellular System for Very Large Data Bases (SYWS, GJL), pp. 456–472.
VLDBVLDB-1975-Todd #database #implementation #named #performance #relational
PRTV: An Efficient Implementation for Large Relational Data Bases (ST), pp. 554–556.
DACDAC-1975-GilliO #algebra #network #simulation
A new algebraic procedure for the simulation of large digital networks (LG, FO), pp. 32–41.
POPLPOPL-1973-Lambert
Large Scale File Processing — Pogol (GJL), pp. 226–234.
DACDAC-1973-Blum #design
Computerized design of large capital equipment (FLB), pp. 228–232.
SIGMODSIGFIDET-1971-Liu #database #information management
A Data Base System Defined to Support a Large Information System (HL), pp. 349–372.
SIGMODSIGFIDET-1971-Parker #database #information retrieval
Information Retrieval with Large-Scale Geographic Data Bases (JLP), pp. 325–347.
SIGIRSIGIR-1971-MulfordR
Data Compression Techniques for Economic Processing of Large Commercial Files (JEM, RKR), pp. 207–215.
DACDAC-1971-HashimotoS #optimisation
Wire routing by optimizing channel assignment within large apertures (AH, JGS), pp. 155–169.
SIGMODSIGFIDET-1970-BayerM #maintenance #order
Organization and Maintenance of Large Ordered Indexes (RB, EMM), pp. 107–141.
DACDAC-1970-SmithT #heuristic
A simplification heuristic for large flow tables (RJSI, JHT), pp. 47–53.

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