Stem massiv$ (all stems)

189 papers:

SIGMOD-2015-AllardHMP #clustering #named #privacy

Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering (TA, GH, FM, EP), pp. 779–794.

SIGMOD-2015-LiuSWRH #corpus #mining #quality

Mining Quality Phrases from Massive Text Corpora (JL, JS, CW, XR, JH), pp. 1729–1744.

SIGMOD-2015-WangZZS #in memory #named

SharkDB: An In-Memory Storage System for Massive Trajectory Data (HW, KZ, XZ, SWS), pp. 1099–1104.

VLDB-2015-AkidauBCCFLMMPS #approach #bound #correctness #data flow #latency

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing (TA, RB, CC, SC, RFM, RL, SM, DM, FP, ES, SW), pp. 1792–1803.

VLDB-2015-HarbiAKM #dataset #query #rdf

Evaluating SPARQL Queries on Massive RDF Datasets (RH, IA, PK, NM), pp. 1848–1859.

VLDB-2015-LiuLYXW #graph #independence #set #towards

Towards Maximum Independent Sets on Massive Graphs (YL, JL, HY, XX, ZW), pp. 2122–2133.

CHI-2015-KleimanLDFC #image #named #set #similarity

DynamicMaps: Similarity-based Browsing through a Massive Set of Images (YK, JL, DD, YF, DCO), pp. 995–1004.

CSCW-2015-KulkarniCKBK #distance #matter #named

Talkabout: Making Distance Matter with Small Groups in Massive Classes (CK, JC, YK, MSB, SRK), pp. 1116–1128.

CSCW-2015-Leavitt #community #online #quote #single use

“This is a Throwaway Account”: Temporary Technical Identities and Perceptions of Anonymity in a Massive Online Community (AL), pp. 317–327.

CSCW-2015-LiCYH #online

Massive Open Online Proctor: Protecting the Credibility of MOOCs certificates (XL, KmC, YY, AGH), pp. 1129–1137.

ICML-2015-BarbosaENW #dataset #distributed #power of

The Power of Randomization: Distributed Submodular Maximization on Massive Datasets (RdPB, AE, HLN, JW), pp. 1236–1244.

KDD-2015-RenEWH #approach #automation #corpus #mining #network #recognition #type system

Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.

KDD-2015-VanchinathanMRK

Discovering Valuable items from Massive Data (HPV, AM, CAR, DK, AK), pp. 1195–1204.

KDD-2015-ZhangZMH #assembly #co-evolution #named #performance

Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data (CZ, YZ, XM, JH), pp. 1415–1424.

SIGIR-2015-CanutoGSRM #approach #classification #documentation #parallel #performance #scalability

An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing (SDC, MAG, WS, TR, WM), pp. 333–342.

SAC-2015-HublerRFS #data flow #named #using

P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model (PH, DDAR, JEF, ONdS), pp. 54–57.

SAC-2015-XuanLXT #empirical #fault #metric #predict #set #using

Evaluating defect prediction approaches using a massive set of metrics: an empirical study (XX, DL, XX, YT), pp. 1644–1647.

SAT-2015-BalyoSS #named #parallel #satisfiability

HordeSat: A Massively Parallel Portfolio SAT Solver (TB, PS, CS), pp. 156–172.

DATE-2014-DinechinAPL #parallel

Time-critical computing on a single-chip massively parallel processor (BDdD, DvA, MP, GL), pp. 1–6.

PODS-2014-Cohen #analysis #graph #sketching

All-distances sketches, revisited: HIP estimators for massive graphs analysis (EC), pp. 88–99.

SIGMOD-2014-ChangWMJMGLCWSB #named #parallel #sql

HAWQ: a massively parallel processing SQL engine in hadoop (LC, ZW, TM, LJ, LM, AG, LL, JC, CW, GS, MB), pp. 1223–1234.

SIGMOD-2014-HanW #mining

Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.

SIGMOD-2014-SatishSPSPHSYD #dataset #framework #graph #navigation #using

Navigating the maze of graph analytics frameworks using massive graph datasets (NS, NS, MMAP, JS, JP, MAH, SS, ZY, PD), pp. 979–990.

ITiCSE-2014-McKinseyJFG #online #programming

Remote pair programming (RPP) in massively open online courses (MOOCs) (JM, SJ, AF, DDG), p. 340.

CIKM-2014-WenR #behaviour #identification #mining #online

Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses (MW, CPR), pp. 1983–1986.

ICML-c1-2014-GiesekeHOI #nearest neighbour #query

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs (FG, JH, CEO, CI), pp. 172–180.

KDD-2014-BadanidiyuruMKK #on the fly #streaming #summary

Streaming submodular maximization: massive data summarization on the fly (AB, BM, AK, AK), pp. 671–680.

KDD-2014-YuCRW #detection

Detecting moving object outliers in massive-scale trajectory streams (YY, LC, EAR, QW), pp. 422–431.

RecSys-2014-YangAR #constraints #online #recommendation

Question recommendation with constraints for massive open online courses (DY, DA, CPR), pp. 49–56.

RE-2014-Daneva #approach #game studies #how #multi #online #requirements

How practitioners approach gameplay requirements? An exploration into the context of massive multiplayer online role-playing games (MD), pp. 3–12.

HPCA-2014-JiaSM #memory management #named #parallel

MRPB: Memory request prioritization for massively parallel processors (WJ, KAS, MM), pp. 272–283.

ISMM-2014-EgielskiHZ #parallel

Massive atomics for massive parallelism on GPUs (IJE, JH, EZZ), pp. 93–103.

DAC-2013-HanZF #gpu #named #parallel #simulation

TinySPICE: a parallel SPICE simulator on GPU for massively repeated small circuit simulations (LH, XZ, ZF), p. 8.

DAC-2013-YeWHL #parallel #segmentation #simulation

Time-domain segmentation based massively parallel simulation for ADCs (ZY, BW, SH, YL), p. 6.

SIGMOD-2013-ChristensenL #adaptation

Adaptive log compression for massive log data (RC, FL), pp. 1283–1284.

SIGMOD-2013-HuTC #graph

Massive graph triangulation (XH, YT, CWC), pp. 325–336.

SIGMOD-2013-WhangYYSKK #approach #named #parallel #using

ODYS: an approach to building a massively-parallel search engine using a DB-IR tightly-integrated parallel DBMS for higher-level functionality (KYW, TSY, YMY, IYS, HYK, IJK), pp. 313–324.

SIGMOD-2013-ZhangYQCL #graph #performance

I/O efficient: computing SCCs in massive graphs (ZZ, JXY, LQ, LC, XL), pp. 181–192.

ITiCSE-2013-VihavainenVLK #case study #experience

Massive increase in eager TAs: experiences from extreme apprenticeship-based CS1 (AV, TV, ML, JK), pp. 123–128.

CSMR-2013-ScannielloECG #gpu #using

Using the GPU to Green an Intensive and Massive Computation System (GS, UE, GC, CG), pp. 384–387.

MSR-2013-AllamanisS13a #mining #modelling #repository #source code #using

Mining source code repositories at massive scale using language modeling (MA, CAS), pp. 207–216.

DHM-HB-2013-MaruyamaKD #3d #simulation

Simulating a Walk of Digital Human Model Directly in Massive 3D Laser-Scanned Point Cloud of Indoor Environments (TM, SK, HD), pp. 366–375.

CIKM-2013-ArifuzzamanKM #algorithm #named #network #parallel

PATRIC: a parallel algorithm for counting triangles in massive networks (SA, MK, MVM), pp. 529–538.

CIKM-2013-TangwongsanPT #graph #parallel #streaming

Parallel triangle counting in massive streaming graphs (KT, AP, ST), pp. 781–786.

CIKM-2013-ZhangLL #performance #privacy #robust #streaming

An efficient and robust privacy protection technique for massive streaming choice-based information (JZ, XL, YL), pp. 1169–1172.

KDD-2013-AltinigneliPB #parallel #using

Massively parallel expectation maximization using graphics processing units (MCA, CP, CB), pp. 838–846.

KDD-2013-ChandolaSS #information management

Knowledge discovery from massive healthcare claims data (VC, SRS, JCS), pp. 1312–1320.

SAC-2013-HapfelmeierSK #dataset #incremental #linear #performance

Incremental linear model trees on massive datasets: keep it simple, keep it fast (AH, JS, SK), pp. 129–135.

HPCA-2013-SampsonYWCW #3d #parallel

Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound (RS, MY, SW, CC, TFW), pp. 318–329.

HPDC-2013-SuAWMWA #dataset #distributed #using

Taming massive distributed datasets: data sampling using bitmap indices (YS, GA, JW, KM, JW, JPA), pp. 13–24.

HT-2012-DinhNT #effectiveness #network #question #social

Cheap, easy, and massively effective viral marketing in social networks: truth or fiction? (TND, DTN, MTT), pp. 165–174.

SIGMOD-2012-ZhouBL #clustering #distributed

Advanced partitioning techniques for massively distributed computation (JZ, NB, WL), pp. 13–24.

VLDB-2012-AlbutiuKN #database #in memory #manycore #memory management #parallel

Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems (MCA, AK, TN), pp. 1064–1075.

VLDB-2012-RoyDMSW #analysis

Massive Genomic Data Processing and Deep Analysis (AR, YD, EM, YS, BLW), pp. 1906–1909.

VLDB-2012-Sahin #challenge #clustering #self

Challenges in Economic Massive Content Storage and Management (MCSAM) in the Era of Self-Organizing, Self-Expanding and Self-Linking Data Clusters (KES), p. 1698.

VLDB-2012-WangC #composition #network

Truss Decomposition in Massive Networks (JW, JC), pp. 812–823.

CIKM-2012-ChoiLKLM #named #parallel #query #xml

HadoopXML: a suite for parallel processing of massive XML data with multiple twig pattern queries (HC, KHL, SHK, YJL, BM), pp. 2737–2739.

CIKM-2012-MaRHMHZCL #performance

An efficient index for massive IOT data in cloud environment (YM, JR, WH, XM, XH, YZ, YC, CL), pp. 2129–2133.

ICPR-2012-ChenS #multi

Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs (SC, KS), pp. 17–20.

KDD-2012-RaederSDPP #design #predict #robust

Design principles of massive, robust prediction systems (TR, OS, BD, CP, FJP), pp. 1357–1365.

HPDC-2012-LohrmannWK #constraints

Massively-parallel stream processing under QoS constraints with Nephele (BL, DW, OK), pp. 271–282.

SAT-2012-ArbelaezC #parallel #satisfiability #towards

Towards Massively Parallel Local Search for SAT — (Poster Presentation) (AA, PC), pp. 481–482.

DAC-2011-ZhaoF #3d #gpu #parallel #performance

Fast multipole method on GPU: tackling 3-D capacitance extraction on massively parallel SIMD platforms (XZ, ZF), pp. 558–563.

DATE-2011-Furber #architecture

Biologically-inspired massively-parallel architectures — Computing beyond a million processors (SBF), p. 1.

DATE-2011-PandeCPMBMG #energy #performance #question

Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms? (PPP, FC, DP, IM, PB, RM, AG), pp. 1656–1661.

VLDB-2011-ZeitlerR #query

Massive Scale-out of Expensive Continuous Queries (EZ, TR), pp. 1181–1188.

VLDB-2011-ZhuQLYHY #mining #network #scalability

Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.

CIKM-2011-ChenWDZ #correlation #monitoring

Continuously monitoring the correlations of massive discrete streams (YC, WW, XD, XZ), pp. 1571–1576.

KDD-2011-ChuC #network

Triangle listing in massive networks and its applications (SC, JC), pp. 672–680.

SAC-2011-CaiFU #database #recognition #scalability

Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.

DAC-2010-GaoYWY #analysis #correlation #estimation #performance #statistics

Efficient tail estimation for massive correlated log-normal sums: with applications in statistical leakage analysis (MG, ZY, YW, ZY), pp. 475–480.

SIGMOD-2010-ChengKFYZ #clique #network

Finding maximal cliques in massive networks by H*-graph (JC, YK, AWCF, JXY, LZ), pp. 447–458.

SIGMOD-2010-MueenNL #approximate #correlation #performance

Fast approximate correlation for massive time-series data (AM, SN, JL), pp. 171–182.

SIGMOD-2010-WangWLWWLTXL #dataset #detection #named

MapDupReducer: detecting near duplicates over massive datasets (CW, JW, XL, WW, HW, HL, WT, JX, RL), pp. 1119–1122.

VLDB-2010-AlexandrovBEHHKMNW #data analysis #parallel

Massively Parallel Data Analysis with PACTs on Nephele (AA, DB, SE, MH, FH, OK, VM, EN, DW), pp. 1625–1628.

VLDB-2010-LobozSN #named #performance

DataGarage: Warehousing Massive Performance Data on Commodity Servers (CL, SS, SN), pp. 1447–1458.

ICEIS-ISAS-2010-BezerraHS #collaboration #data access

An Access Control Model for Massive Collaborative Edition (JdMB, CMH, EMdS), pp. 135–140.

CIKM-2010-NambiarGGM #data transformation

Massive structured data management solution (UN, RG, HG, MKM), pp. 1905–1908.

CIKM-2010-ZhangLY #graph #named

SUMMA: subgraph matching in massive graphs (SZ, SL, JY), pp. 1285–1288.

ICPR-2010-MoraledaH #image #scalability #towards

Toward Massive Scalability in Image Matching (JM, JJH), pp. 3424–3427.

QAPL-2010-StefanekHB #analysis #parallel #performance

A new tool for the performance analysis of massively parallel computer systems (AS, RAH, JTB), pp. 159–181.

HPDC-2010-PlossMMGG #evaluation #multi #named #performance

Netlag: a performance evaluation tool for massively multi-user networked applications (AP, DM, PM, FG, SG), pp. 573–580.

HPDC-2010-UrbaniMB #pipes and filters #semantics #web

Massive Semantic Web data compression with MapReduce (JU, JM, HEB), pp. 795–802.

PPoPP-2010-RadojkovicCVPCNV #concurrent #network #parallel #thread

Thread to strand binding of parallel network applications in massive multi-threaded systems (PR, VC, JV, AP, FJC, MN, MV), pp. 191–202.

DAC-2009-LevitanC #parallel

Massively parallel processing: it’s déjà vu all over again (SPL, DMC), pp. 534–538.

DATE-2009-PalmersMSG #multi

Massively multi-topology sizing of analog integrated circuits (PP, TM, MS, GGEG), pp. 706–711.

VLDB-2009-AggarwalXY #graph #named

GConnect: A Connectivity Index for Massive Disk-resident Graphs (CCA, YX, PSY), pp. 862–873.

VLDB-2009-PandaHBB #learning #named #parallel #pipes and filters

PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce (BP, JH, SB, RJB), pp. 1426–1437.

VLDB-2009-ReevesLNZ #multi

Managing Massive Time Series Streams with MultiScale Compressed Trickles (GR, JL, SN, FZ), pp. 97–108.

VLDB-2009-SallesCSDGKW #evaluation #game studies #multi #online

An Evaluation of Checkpoint Recovery for Massively Multiplayer Online Games (MAVS, TC, BS, AJD, JG, CK, WMW), pp. 1258–1269.

HCI-VAD-2009-HsuC09a #design #game studies #interface #multi #online

Exploring the Elements and Design Criteria of Massively-Multiplayer Online Role-Playing Game (MMORPG) Interfaces (CCH, ECHC), pp. 325–334.

OCSC-2009-TaylorT #analysis #game studies #multi #online

A Content Analysis of Interviews with Players of Massively Multiplayer Online Role-Play Games (MMORPGs): Motivating Factors and the Impact on Relationships (JT, JT), pp. 613–621.

VISSOFT-2009-BohnetKD #execution #visualisation

Visualizing massively pruned execution traces to facilitate trace exploration (JB, MK, JD), pp. 57–64.

CIKM-2009-Whang #integration

DB-IR integration and its application to a massively-parallel search engine (KYW), pp. 1–2.

KDD-2009-TsourakakisKMF #graph #named

DOULION: counting triangles in massive graphs with a coin (CET, UK, GLM, CF), pp. 837–846.

SAC-2009-HohfeldGBBSS #collaboration #multi #self

Self-organizing collaborative filtering in global-scale massive multi-user virtual environments (AH, PG, AB, JB, HS, IS), pp. 1719–1723.

ICLP-2009-Ashley-Rollman #distributed #logic programming #research #summary

Research Summary: Logic Programming for Massively Distributed Systems (MPAR), pp. 527–529.

DAC-2008-YanZTCM #distributed #linear #named #network #order #reduction

DeMOR: decentralized model order reduction of linear networks with massive ports (BY, LZ, SXDT, JC, BM), pp. 409–414.

DATE-2008-HosseinabadyKMP #architecture #energy #graph #latency #performance #scalability

De Bruijn Graph as a Low Latency Scalable Architecture for Energy Efficient Massive NoCs (MH, MRK, JM, DKP), pp. 1370–1373.

SIGMOD-2008-GuptaDG #game studies #multi #named #online #scalability

SEMMO: a scalable engine for massively multiplayer online games (NG, AJD, JG), pp. 1235–1238.

SIGMOD-2008-JohnsonMSS #clustering #data type #monitoring #network

Query-aware partitioning for monitoring massive network data streams (TJ, SMM, VS, OS), pp. 1135–1146.

VLDB-2008-ChaikenJLRSWZ #named #parallel #performance #set

SCOPE: easy and efficient parallel processing of massive data sets (RC, BJ, PÅL, BR, DS, SW, JZ), pp. 1265–1276.

ICGT-2008-KreowskiK #framework #graph #parallel

Graph Multiset Transformation as a Framework for Massively Parallel Computation (HJK, SK), pp. 351–365.

ICPR-2008-SuzukiSZ #network

Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) (KS, ZS, JZ), pp. 1–4.

KDD-2008-BecchettiBCG #algorithm #graph #performance

Efficient semi-streaming algorithms for local triangle counting in massive graphs (LB, PB, CC, AG), pp. 16–24.

KR-2008-MichaelV

A First Experimental Demonstration of Massive Knowledge Infusion (LM, LGV), pp. 378–389.

PPoPP-2008-FernandesSS #gpu #parallel

Massive parallel LDPC decoding on GPU (GFPF, LS, VMMdS), pp. 83–90.

DAC-2007-Tabor #parallel #programming

Programming Living Cells to Function as Massively Parallel Computers (JJT), pp. 638–639.

ICDAR-2007-Vincent #comprehension #documentation

Google Book Search: Document Understanding on a Massive Scale (LV), pp. 819–823.

SIGMOD-2007-HongDGKRW #multi

Massively multi-query join processing in publish/subscribe systems (MH, AJD, JG, CK, MR, WMW), pp. 761–772.

SIGMOD-2007-LiGLSZ #clustering #database #named #parallel

InfiniteDB: a pc-cluster based parallel massive database management system (JL, HG, JL, SS, WZ), pp. 899–909.

ICPC-2007-CornelissenHZMWD #comprehension #execution #sequence #using

Understanding Execution Traces Using Massive Sequence and Circular Bundle Views (BC, DH, AZ, LM, JJvW, AvD), pp. 49–58.

CHI-2007-SeayK #game studies #online #problem #self

Project massive: self-regulation and problematic use of online gaming (AFS, REK), pp. 829–838.

HCI-AS-2007-SongLH #case study #evaluation #framework #game studies #multi #online #usability

A New Framework of Usability Evaluation for Massively Multi-player Online Game: Case Study of “World of Warcraft” Game (SS, JL, IH), pp. 341–350.

HCI-IPT-2007-NoguchiMS #embedded

Attentive Information Support with Massive Embedded Sensors in Room (HN, TM, TS), pp. 883–892.

VISSOFT-2007-HoltenCW #sequence #using #visualisation

Trace Visualization Using Hierarchical Edge Bundles and Massive Sequence Views (DH, BC, JJvW), pp. 47–54.

ICEIS-EIS-2007-HeberlingHBH #collaboration #game studies #multi #online #peer-to-peer

Future Collaborative Systems Between Peer-to-Peer and Massive Multiplayer Online Games (MH, RH, TB, TH), pp. 340–346.

KDD-2007-Aggarwal #classification #data type #framework #segmentation

A framework for classification and segmentation of massive audio data streams (CCA), pp. 1013–1017.

CGO-2007-Buck #gpu #parallel #programming

GPU Computing: Programming a Massively Parallel Processor (IB), p. 17.

DAC-2006-LiS #linear #network #order #reduction

Model order reduction of linear networks with massive ports via frequency-dependent port packing (PL, WS), pp. 267–272.

VLDB-2006-DrineasM #algorithm #matrix #random #set

Randomized Algorithms for Matrices and Massive Data Sets (PD, MWM), p. 1269.

CHI-2006-DucheneautYNM #game studies #multi #online #quote #social

“Alone together?”: exploring the social dynamics of massively multiplayer online games (ND, NY, EN, RJM), pp. 407–416.

CIKM-2006-GonzalezHL #mining #set #workflow

Mining compressed commodity workflows from massive RFID data sets (HG, JH, XL), pp. 162–171.

CIKM-2006-NanavatiGDCDMJ #graph #on the

On the structural properties of massive telecom call graphs: findings and implications (AAN, SG, GD, DC, KD, SM, AJ), pp. 435–444.

KDD-2006-GaoGEJ #clustering

Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.

KDD-2006-TsangKK #feature model #kernel #performance #set

Efficient kernel feature extraction for massive data sets (IWT, AK, JTK), pp. 724–729.

SAC-2006-HazelTVW #approach #named #scalability

TerraCost: a versatile and scalable approach to computing least-cost-path surfaces for massive grid-based terrains (TH, LT, JV, RW), pp. 52–57.

DAC-2005-GopeCJ #3d #multi #named #performance

DiMES: multilevel fast direct solver based on multipole expansions for parasitic extraction of massively coupled 3D microelectronic structures (DG, IC, VJ), pp. 159–162.

DocEng-2005-WhitingCCGHST #documentation #parsing #semantics #web

Enabling massive scale document transformation for the semantic web: the universal parsing agent™ (MAW, WC, NC, AG, RH, RS, ST), pp. 23–25.

VLDB-2005-GibsonKT #graph #scalability

Discovering Large Dense Subgraphs in Massive Graphs (DG, RK, AT), pp. 721–732.

ICSM-2005-AntoniolPH #maintenance #optimisation #search-based

Search-Based Techniques Applied to Optimization of Project Planning for a Massive Maintenance Project (GA, MDP, MH), pp. 240–249.

MoDELS-2005-BiaG #design #documentation #modelling #uml #web #xml

UML for Document Modeling: Designing Document Structures for Massive and Systematic Production of XML-based Web Contents (AB, JG), pp. 648–660.

MoDELS-2005-BiaG #design #documentation #modelling #uml #web #xml

UML for Document Modeling: Designing Document Structures for Massive and Systematic Production of XML-based Web Contents (AB, JG), pp. 648–660.

PPoPP-2005-ChenWDKLA #game studies #locality #multi

Locality aware dynamic load management for massively multiplayer games (JC, BW, MD, BK, HL, CA), pp. 289–300.

DAC-2004-HanBBCJ #architecture #data transfer #distributed #flexibility #memory management #multi #performance #scalability

An efficient scalable and flexible data transfer architecture for multiprocessor SoC with massive distributed memory (SIH, AB, MB, SIC, AAJ), pp. 250–255.

DAC-2004-SilveiraP #algorithm #network #reduction

Exploiting input information in a model reduction algorithm for massively coupled parasitic networks (LMS, JRP), pp. 385–388.

VLDB-2004-LinKLLN #database #mining #monitoring #named #visual notation

VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases (JL, EJK, SL, JPL, DMN), pp. 1269–1272.

CHI-2004-Cornett #design #game studies #multi #online #usability

The usability of massively multiplayer online roleplaying games: designing for new users (SC), pp. 703–710.

CSCW-2004-DucheneautM #case study #game studies #interactive #multi #online #social

The social side of gaming: a study of interaction patterns in a massively multiplayer online game (ND, RJM), pp. 360–369.

CIKM-2004-GollapudiS #algorithm #analysis #framework #set

Framework and algorithms for trend analysis in massive temporal data sets (SG, DS), pp. 168–177.

ICPR-v3-2004-HanJ #fault tolerance #image #parallel

From Massively Parallel Image Processors to Fault-Tolerant Nanocomputers (JH, PJ), pp. 2–7.

KDD-2004-LinKLLN #mining #monitoring #visual notation

Visually mining and monitoring massive time series (JL, EJK, SL, JPL, DMN), pp. 460–469.

ICSM-2003-Baxter #architecture #automation #re-engineering #tool support

Massively Reengineering Architectures With Automated Tools (IDB), p. 463.

KDD-2003-BarryZM #architecture #information management #simulation

Architecting a knowledge discovery engine for military commanders utilizing massive runs of simulations (PSB, JZ, MM), pp. 699–704.

KDD-2003-Houle #clustering #navigation #set

Navigating massive data sets via local clustering (MEH), pp. 547–552.

VLDB-2002-ConradGJM #database #logic #physics #using

Database Selection Using Actual Physical and Acquired Logical Collection Resources in a Massive Domain-specific Operational Environment (JGC, XSG, PJ, MM), pp. 71–82.

CSMR-2002-LuciaPSP #analysis #empirical #maintenance #process

Empirical Analysis of Massive Maintenance Processes (ADL, AP, SS, EP), pp. 5–14.

ICSM-2002-LuciaPSV #estimation #maintenance #process

Early Effort Estimation of Massive Maintenance Processes (ADL, MDP, SS, GV), pp. 234–237.

KDD-2002-PalmerGF #data mining #graph #mining #named #performance #scalability

ANF: a fast and scalable tool for data mining in massive graphs (CRP, PBG, CF), pp. 81–90.

KDD-2002-RidgewayM #analysis #dataset

Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.

ICSM-2001-LuciaPPS #empirical #maintenance #process

Assessing Massive Maintenance Processes: An Empirical Study (ADL, AP, EP, SS), p. 451–?.

ICEIS-v1-2001-GuimaraesT #architecture #distributed #named

SPINO: A Distributed Architecture for Massive Text Storage (JG, PT), pp. 244–248.

KDD-2001-AggarwalP #concept #mining #re-engineering #semistructured data #set

Mining massively incomplete data sets by conceptual reconstruction (CCA, SP), pp. 227–232.

KDD-2001-BiFK #mining

The “DGX” distribution for mining massive, skewed data (ZB, CF, FK), pp. 17–26.

HPDC-2001-KuntrarukP #data mining #distributed #feature model #mining #parallel #using

Massively Parallel Distributed Feature Extraction in Textual Data Mining Using HDDI(tm) (JK, WMP), pp. 363–370.

VLDB-2000-KoudasIM #identification #roadmap #set #sketching #using

Identifying Representative Trends in Massive Time Series Data Sets Using Sketches (PI, NK, SM), pp. 363–372.

STOC-2000-AielloCL #graph #random

A random graph model for massive graphs (WA, FRKC, LL), pp. 171–180.

KDD-2000-ChenLP #estimation #incremental

Incremental quantile estimation for massive tracking (FC, DL, JCP), pp. 516–522.

HPDC-2000-GermainPMJ #named #parallel #problem

Uintah: A Massively Parallel Problem Solving Environment (JDdSG, SGP, JM, CRJ), pp. 33–42.

DAC-1999-AbramoviciSS #configuration management #hardware #satisfiability #using

A Massively-Parallel Easily-Scalable Satisfiability Solver Using Reconfigurable Hardware (MA, JTdS, DGS), pp. 684–690.

HPDC-1999-LeighJDBG #analysis #collaboration #set

A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments (JL, AEJ, TAD, SB, RLG), pp. 62–69.

VLDB-1998-Slutz #probability #sql #testing

Massive Stochastic Testing of SQL (DRS), pp. 618–622.

KDD-1998-JohnsonD #set

Comparing Massive High-Dimensional Data Sets (TJ, TD), pp. 229–233.

KDD-1998-PinheiroS #database #mining #semistructured data

Methods for Linking and Mining Massive Heterogeneous Databases (JCP, DXS), pp. 309–313.

KDD-1997-SmythW #data analysis #set

Anytime Exploratory Data Analysis for Massive Data Sets (PS, DW), pp. 54–60.

SIGMOD-1996-ChooOLCGBPS #architecture #named #parallel

Prospector: A Content-Based Multimedia Server for Massively Parallel Architectures (SC, WO, GL, HC, KG, AB, EP, DS), p. 551.

SIGMOD-1996-OConnellISWABCCLPWW #architecture #parallel

A Content-Based Multimedia Server for Massively Parallel Architectures (WO, ITI, DS, CW, GA, AB, SC, PC, GL, EP, JW, TW), pp. 68–78.

SEKE-1996-Shin #formal method

The Theory of Massive Cross-Referencing (DKS), pp. 454–552.

HPDC-1996-LuO #algorithm #parallel #performance

A Massively Parallel Fast Multipole Algorithm in Three Dimensions (EJLL, DIO), pp. 40–48.

SIGMOD-1995-Levine #parallel

Order-of-Magnitude Advantage of TPC-C Though Massive Parallelism (CL), pp. 464–465.

KDD-1995-SeshadriSW #data mining #feature model #mining

Feature Extraction for Massive Data Mining (VS, RS, SMW), pp. 258–262.

SAC-1995-GaberTGH #parallel

Embedding tree structures in massively parallel computers (JG, BT, GG, TH), pp. 210–214.

HPCA-1995-HurSFOK #array #design #fault #logic #parallel #simulation

Massively Parallel Array Processor for Logic, Fault, and Design Error Simulation (YH, SAS, ESF, GEO, SK), pp. 340–347.

HPCA-1995-KawanoKTA #architecture #parallel #thread

Fine-Grain Multi-Thread Processor Architecture for Massively Parallel Processing (TK, SK, RiT, MA), pp. 308–317.

SIGMOD-1994-Ballinger #evolution #parallel

Evolving Teradata Decision Support for Massively Parallel Processing with UNIX (CB), p. 490.

TAGT-1994-DerkD #configuration management #fault tolerance #graph grammar #parallel

Reconfiguration Graph Grammar for Massively Parallel, Fault Tolerant Computers (MDD, LSD), pp. 185–195.

HPDC-1994-Sakai #bibliography #parallel

Overview of RWC Massively Parallel Computer Project (SS), p. 5.

CIKM-1993-Sussna #ambiguity #for free #network #semantics #using #word

Word Sense Disambiguation for Free-text Indexing Using a Massive Semantic Network (MS), pp. 67–74.

ICML-1993-Baluja #algorithm #evolution #parallel #towards

The Evolution of Gennetic Algorithms: Towards Massive Parallelism (SB), pp. 1–8.

ILPS-1993-TongL #concurrent #constraints #logic programming #parallel

Concurrent Constraint Logic Programming On Massively Parallel SIMD Computers (BMT, HfL), pp. 388–402.

PLDI-1992-ChenC #compilation #parallel #prototype

Prototyping Fortran-90 Compilers for Massively Parallel Machines (MCC, JRC), pp. 94–105.

ML-1992-HunterHS #classification #performance

Efficient Classification of Massive, Unsegmented Datastreams (LH, NLH, DJS), pp. 224–232.

IWMM-1992-Yuasa #architecture #garbage collection #lisp #memory management #parallel

Memory Management and Garbage Collection of an Extended Common Lisp System for Massively Parallel SIMD Architecture (TY), pp. 490–506.

DAC-1990-CarlsonR #algorithm #design #evaluation #parallel #performance #verification

Design and Performance Evaluation of New Massively Parallel VLSI Mask Verification Algorithms in JIGSAW (ECC, RAR), pp. 253–259.

LFP-1990-WalinskyB #compilation #functional #parallel #programming language

A Functional Programming Language Compiler for Massively Parallel Computers (CW, DB), pp. 131–138.

PPoPP-1990-Nicol #analysis #parallel

Analysis of Synchronization in Massively Parallel Discrete-Event Sumulations (DMN), pp. 89–98.

DAC-1989-KravitzBR #parallel #simulation

Massively Parallel Switch-Level Simulation: A Feasibility Study (SAK, REB, RAR), pp. 91–97.

DAC-1989-NarayananP #algorithm #fault #parallel #simulation

A Massively Parallel Algorithm for Fault Simulation on the Connection Machine (VN, VP), pp. 734–737.

GG-1986-BaileyC #grammarware #graph grammar #parallel #specification

Graph Grammar Based Specification of Interconnection Structures for Massively Parallel Computation (DAB, JEC), pp. 73–85.