BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
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CSS 2.1 W3C CanRec
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Used together with:
base (864)
system (671)
use (638)
mine (634)
model (630)

Stem data$ (all stems)

7142 papers:

CBSECBSE-2015-DanielsPCJH #component #low cost #metadata #named #pervasive
Refraction: Low-Cost Management of Reflective Meta-Data in Pervasive Component-Based Applications (WD, JP, DC, WJ, DH), pp. 27–36.
CBSECBSE-2015-RamachandranDPM #network
Hitch Hiker: A Remote Binding Model with Priority Based Data Aggregation for Wireless Sensor Networks (GSR, WD, JP, SM, WJ, DH, BP), pp. 43–48.
QoSAQoSA-2015-XuWXZB #as a service #data analysis #realtime
Making Real Time Data Analytics Available as a Service (DX, DW, XX, LZ, LB), pp. 73–82.
WICSAWICSA-2015-NaabBLHEMCK #architecture #case study #design #ecosystem #experience #mobile #prototype #scalability #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.
CASECASE-2015-BoH #clustering #fault #process
Qualitative trend clustering of process data for fault diagnosis (ZB, YH), pp. 1584–1588.
CASECASE-2015-DobslawGZ #challenge #industrial #network
Challenges for the use of data aggregation in industrial Wireless Sensor Networks (FD, MG, TZ), pp. 138–144.
CASECASE-2015-FleischerAT #automation #composition #evaluation
A cross-platform modular software solution for automated data evaluation applied in elemental and structural mass spectrometry (HF, MA, KT), pp. 758–763.
CASECASE-2015-LeeC #big data
Aggregate production planning with small data in TFT-LCD manufacturing (CYL, MCC), pp. 647–648.
CASECASE-2015-LinZW #predict #realtime #using
Using real-time sensing data for predicting future state of building fires (CCL, GZ, LLW), pp. 1313–1318.
CASECASE-2015-NouaouriSA #data mining #mining #predict #problem
Evidential data mining for length of stay (LOS) prediction problem (IN, AS, HA), pp. 1415–1420.
CASECASE-2015-SunWWL #data-driven #energy #runtime
Data driven production runtime energy control of manufacturing systems (ZS, DW, LW, LL), pp. 243–248.
CASECASE-2015-ZhuCS #energy #linear #process #recognition #using
Using unlabeled acoustic data with locality-constrained linear coding for energy-related activity recognition in buildings (QZ, ZC, YCS), pp. 174–179.
DACDAC-2015-ChenSZDJ #optimisation
Optimizing data placement for reducing shift operations on domain wall memories (XC, EHMS, QZ, PD, WJ), p. 6.
DACDAC-2015-KoJKLS #design #guidelines
Guidelines to design parity protected write-back L1 data cache (YK, RJ, YK, KL, AS), p. 6.
DACDAC-2015-LiuKDK #data access #network #reduction
Network footprint reduction through data access and computation placement in NoC-based manycores (JL, JK, WD, MTK), p. 6.
DACDAC-2015-MengYOLW #array #clustering #data access #memory management #parallel #performance
Efficient memory partitioning for parallel data access in multidimensional arrays (CM, SY, PO, LL, SW), p. 6.
DACDAC-2015-RajendranVK #detection
Detecting malicious modifications of data in third-party intellectual property cores (JR, VV, RK), p. 6.
DACDAC-2015-WangH0LL #logic #memory management #named
ProPRAM: exploiting the transparent logic resources in non-volatile memory for near data computing (YW, YH, LZ, HL, XL), p. 6.
DACDAC-2015-WasicekLKGIA #simulation
System simulation from operational data (AW, EAL, HK, LG, AI, IA), p. 6.
DACDAC-2015-YangCK #design
Virtual flash chips: rethinking the layer design of flash devices to improve data recoverability (MCY, YHC, TWK), p. 6.
DATEDATE-2015-AndradeMVAPL #analysis #data flow #modelling
Pre-simulation symbolic analysis of synchronization issues between discrete event and timed data flow models of computation (LA, TM, AV, CBA, FP, MML), pp. 1671–1676.
DATEDATE-2015-BrunduPAGRRM #distributed #energy #framework #integration #strict
A new distributed framework for integration of district energy data from heterogeneous devices (FGB, EP, AA, MG, GR, SR, EM), pp. 992–993.
DATEDATE-2015-ChenYCK #migration #named
PWL: a progressive wear leveling to minimize data migration overheads for nand flash devices (FHC, MCY, YHC, TWK), pp. 1209–1212.
DATEDATE-2015-DubenSPYAEPP #big data #case study #energy #performance
Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications (PDD, JS, P, SY, JA, CCE, KVP, TNP), pp. 764–769.
DATEDATE-2015-FarkashHS #data mining #debugging #locality #mining
Data mining diagnostics and bug MRIs for HW bug localization (MF, BGH, BS), pp. 79–84.
DATEDATE-2015-HamdiouiXNTBCJC #architecture #data-driven #in memory
Memristor based computation-in-memory architecture for data-intensive applications (SH, LX, HADN, MT, KB, HC, HJ, FC, DW, LE, JvL), pp. 1718–1725.
DATEDATE-2015-KanounS #big data #concept #data type #detection #learning #online #scheduling #streaming
Big-data streaming applications scheduling with online learning and concept drift detection (KK, MvdS), pp. 1547–1550.
DATEDATE-2015-KomalanTPFC
System level exploration of a STT-MRAM based level 1 data-cache (MPK, CT, JIGP, FTF, FC), pp. 1311–1316.
DATEDATE-2015-KunduBK #design #fault #testing
Fault diagnosis in designs with extreme low pin test data compressors (SK, PB, RK), pp. 1285–1288.
DATEDATE-2015-LiuHFRQR #power management
Power minimization for data center with guaranteed QoS (SL, SH, MF, SR, GQ, SR), pp. 1347–1352.
DATEDATE-2015-ParkAHYL #big data #energy #gpu #low cost #memory management #performance
Memory fast-forward: a low cost special function unit to enhance energy efficiency in GPU for big data processing (EP, JA, SH, SY, SL), pp. 1341–1346.
DATEDATE-2015-SonghoriMLK #automation #data analysis #framework #hardware #named
AHEAD: automated framework for hardware accelerated iterative data analysis (EMS, AM, XL, FK), pp. 942–947.
DATEDATE-2015-TemanKGMB #embedded #energy #logic #trade-off
Energy versus data integrity trade-offs in embedded high-density logic compatible dynamic memories (AT, GK, RG, PAM, APB), pp. 489–494.
DATEDATE-2015-WangLZ #big data #named
SODA: software defined FPGA based accelerators for big data (CW, XL, XZ), pp. 884–887.
DocEngDocEng-2015-AtenciaDG #linked data #open data #question #what
What Is This Thing Called Linked Data? (MA, JD, PG), pp. 233–234.
DocEngDocEng-2015-LesnikovaDE #rdf #using
Interlinking English and Chinese RDF Data Using BabelNet (TL, JD, JE), pp. 39–42.
DocEngDocEng-2015-Paoli #documentation #what
Documents as Data, Data as Documents: What we learned about Semi-Structured Information for our Open World of Cloud & Devices (JP), p. 1.
DRRDRR-2015-XuS
Missing value imputation: with application to handwriting data (ZX, SNS).
HTHT-2015-Smyth #big data
From Small Sensors to Big Data (BS), p. 101.
PODSPODS-2015-FanGCDL #big data #query
Querying Big Data by Accessing Small Data (WF, FG, YC, TD, PL), pp. 173–184.
PODSPODS-2015-GrahneMO
Recovering Exchanged Data (GG, AM, AO), pp. 105–116.
PODSPODS-2015-Jordan #big data
Computational Thinking, Inferential Thinking and “Big Data” (MIJ), p. 1.
PODSPODS-2015-KoutrisW #complexity #consistency #constraints #query #self
The Data Complexity of Consistent Query Answering for Self-Join-Free Conjunctive Queries Under Primary Key Constraints (PK, JW), pp. 17–29.
PODSPODS-2015-MunroNV #data type #documentation #graph
Dynamic Data Structures for Document Collections and Graphs (JIM, YN, JSV), pp. 277–289.
SIGMODSIGMOD-2015-ArmbrustXLHLBMK #relational #sql
Spark SQL: Relational Data Processing in Spark (MA, RSX, CL, YH, DL, JKB, XM, TK, MJF, AG, MZ), pp. 1383–1394.
SIGMODSIGMOD-2015-BabarinsaI #database #named
JAFAR: Near-Data Processing for Databases (OOB, SI), pp. 2069–2070.
SIGMODSIGMOD-2015-BergmanMNT #query
Query-Oriented Data Cleaning with Oracles (MB, TM, SN, WCT), pp. 1199–1214.
SIGMODSIGMOD-2015-ChenGLJCZ #metric #nondeterminism #query
Indexing Metric Uncertain Data for Range Queries (LC, YG, XL, CSJ, GC, BZ), pp. 951–965.
SIGMODSIGMOD-2015-ChenHX #authentication #integration #online
Authenticated Online Data Integration Services (QC, HH, JX), pp. 167–181.
SIGMODSIGMOD-2015-ChristensenWLYT #named #online #reasoning #scalability
STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data (RC, LW, FL, KY, JT, NV), pp. 1111–1116.
SIGMODSIGMOD-2015-ChuMIOP0Y #crowdsourcing #knowledge base #named
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing (XC, JM, IFI, MO, PP, NT, YY), pp. 1247–1261.
SIGMODSIGMOD-2015-ClinkenbeardN #communication #scheduling
Job Scheduling with Minimizing Data Communication Costs (TC, AN), pp. 2071–2072.
SIGMODSIGMOD-2015-CSKZYRPAKDRD #big data #industrial #what #why
Why Big Data Industrial Systems Need Rules and What We Can Do About It (PSGC, CS, KGK, HZ, FY, NR, SP, EA, GK, RD, VR, AD), pp. 265–276.
SIGMODSIGMOD-2015-DeshpandeRDA #approach #named
ShareInsights: An Unified Approach to Full-stack Data Processing (MD, DR, SD, AA), pp. 1925–1940.
SIGMODSIGMOD-2015-DokaPTMK #big data #data analysis #multi #named #workflow
IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows (KD, NP, DT, CM, NK), pp. 1451–1456.
SIGMODSIGMOD-2015-El-RobyA #automation #linked data #named #open data
ALEX: Automatic Link Exploration in Linked Data (AER, AA), pp. 1839–1853.
SIGMODSIGMOD-2015-ElgamalYAMH #analysis #big data #component #distributed #named #scalability
sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms (TE, MY, AA, WM, MH), pp. 79–91.
SIGMODSIGMOD-2015-FengLKX #in memory #layout #memory management #named
ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout (ZF, EL, BK, WX), pp. 31–46.
SIGMODSIGMOD-2015-GuptaATKPSS
Amazon Redshift and the Case for Simpler Data Warehouses (AG, DA, DT, JK, RP, SS, VS), pp. 1917–1923.
SIGMODSIGMOD-2015-Haas #data-driven #integration
The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery (LMH), p. 661.
SIGMODSIGMOD-2015-HuangZYDLND0Z #big data #predict
Telco Churn Prediction with Big Data (YH, FZ, MY, KD, YL, BN, WD, QY, JZ), pp. 607–618.
SIGMODSIGMOD-2015-IdreosPC #bibliography #data analysis
Overview of Data Exploration Techniques (SI, OP, SC), pp. 277–281.
SIGMODSIGMOD-2015-JerglerSJ #distributed #framework #named #workflow
D2WORM: A Management Infrastructure for Distributed Data-centric Workflows (MJ, MS, HAJ), pp. 1427–1432.
SIGMODSIGMOD-2015-JiZJNHF #data type #execution #quality #query
Quality-Driven Continuous Query Execution over Out-of-Order Data Streams (YJ, HZ, ZJ, AN, GH, CF), pp. 889–894.
SIGMODSIGMOD-2015-KatsipoulakisTG #data type #named
CE-Storm: Confidential Elastic Processing of Data Streams (NRK, CT, EAG, AL, AJL, PKC), pp. 859–864.
SIGMODSIGMOD-2015-KhayyatIJMOPQ0Y #big data #named
BigDansing: A System for Big Data Cleansing (ZK, IFI, AJ, SM, MO, PP, JAQR, NT, SY), pp. 1215–1230.
SIGMODSIGMOD-2015-KumarNP #learning #linear #modelling #normalisation
Learning Generalized Linear Models Over Normalized Data (AK, JFN, JMP), pp. 1969–1984.
SIGMODSIGMOD-2015-LiHDL #multi #performance #similarity
Efficient Similarity Join and Search on Multi-Attribute Data (GL, JH, DD, JL), pp. 1137–1151.
SIGMODSIGMOD-2015-LoesingPEK #database #design #distributed #on the #scalability
On the Design and Scalability of Distributed Shared-Data Databases (SL, MP, TE, DK), pp. 663–676.
SIGMODSIGMOD-2015-MeglerM
Demonstrating “Data Near Here”: Scientific Data Search (VMM, DM), pp. 1075–1080.
SIGMODSIGMOD-2015-MorcosAIOPS #data transformation #interactive #named
DataXFormer: An Interactive Data Transformation Tool (JM, ZA, IFI, MO, PP, MS), pp. 883–888.
SIGMODSIGMOD-2015-NawabAAA #commit #latency #transaction
Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores (FN, VA, DA, AEA), pp. 1279–1294.
SIGMODSIGMOD-2015-NothaftMDZLYKAH #data-driven #scalability #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-Patel
From Data to Insights @ Bare Metal Speed (JMP), p. 1.
SIGMODSIGMOD-2015-PengD #array #database #nondeterminism
Supporting Data Uncertainty in Array Databases (LP, YD), pp. 545–560.
SIGMODSIGMOD-2015-PrasadFGMLXHR #data transfer #distributed #performance #predict #scalability
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-RablDFSJ #big data
Just can’t get enough: Synthesizing Big Data (TR, MD, MF, SS, HAJ), pp. 1457–1462.
SIGMODSIGMOD-2015-SahaSSVMC #framework #modelling
Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications (BS, HS, SS, GV, ACM, CC), pp. 1357–1369.
SIGMODSIGMOD-2015-SakuraiMF #mining
Mining and Forecasting of Big Time-series Data (YS, YM, CF), pp. 919–922.
SIGMODSIGMOD-2015-SalamaBKZ #cost analysis #fault tolerance #parallel
Cost-based Fault-tolerance for Parallel Data Processing (AS, CB, TK, EZ), pp. 285–297.
SIGMODSIGMOD-2015-SongZWY #constraints #named
SCREEN: Stream Data Cleaning under Speed Constraints (SS, AZ, JW, PSY), pp. 827–841.
SIGMODSIGMOD-2015-UpadhyayaBS #automation #policy
Automatic Enforcement of Data Use Policies with DataLawyer (PU, MB, DS), pp. 213–225.
SIGMODSIGMOD-2015-Viglas #data transformation #memory management
Data Management in Non-Volatile Memory (SDV), pp. 1707–1711.
SIGMODSIGMOD-2015-VulimiriCGJKPV #data-driven #named
WANalytics: Geo-Distributed Analytics for a Data Intensive World (AV, CC, PBG, TJ, KK, JP, GV), pp. 1087–1092.
SIGMODSIGMOD-2015-WangDM #fault
Data X-Ray: A Diagnostic Tool for Data Errors (XW, XLD, AM), pp. 1231–1245.
SIGMODSIGMOD-2015-WangZZS #in memory #named
SharkDB: An In-Memory Storage System for Massive Trajectory Data (HW, KZ, XZ, SWS), pp. 1099–1104.
SIGMODSIGMOD-2015-WeiLYDW #persistent #sketching
Persistent Data Sketching (ZW, GL, KY, XD, JRW), pp. 795–810.
SIGMODSIGMOD-2015-YangSN #correlation #difference #privacy
Bayesian Differential Privacy on Correlated Data (BY, IS, HN), pp. 747–762.
SIGMODSIGMOD-2015-YuanWYC #big data #database #scalability
A Demonstration of Rubato DB: A Highly Scalable NewSQL Database System for OLTP and Big Data Applications (LYY, LW, JHY, YC), pp. 907–912.
SIGMODSIGMOD-2015-ZengADAS #analysis #big data #interactive #named #online
G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data (KZ, SA, AD, MA, IS), pp. 913–918.
VLDBVLDB-2015-AbdelazizHSKM #data analysis #framework #named #rdf
SPARTex: A Vertex-Centric Framework for RDF Data Analytics (IA, RH, SS, PK, NM), pp. 1880–1891.
VLDBVLDB-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.
VLDBVLDB-2015-AlyAMAHEO #adaptation #clustering
A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data (AMA, ASA, ARM, WGA, MSH, HE, MO), pp. 1968–1979.
VLDBVLDB-2015-AlyMHAOEQ #adaptation #clustering #named
AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data (AMA, ARM, MSH, WGA, MO, HE, TQ), pp. 2062–2073.
VLDBVLDB-2015-Balazinska15a #big data #data analysis #industrial #problem #question
Big Data Research: Will Industry Solve all the Problems? (MB), pp. 2053–2064.
VLDBVLDB-2015-BergmanMNT #named #query
QOCO: A Query Oriented Data Cleaning System with Oracles (MB, TM, SN, WCT), pp. 1900–1911.
VLDBVLDB-2015-BhardwajDEKMPS0 #collaboration #data analysis
Collaborative Data Analytics with DataHub (APB, AD, AJE, DRK, SM, AGP, HS, EW, RZ), pp. 1916–1927.
VLDBVLDB-2015-ChatzistergiouCV #in memory #named
REWIND: Recovery Write-Ahead System for In-Memory Non-Volatile Data-Structures (AC, MC, SDV), pp. 497–508.
VLDBVLDB-2015-ChuOMIP0Y #crowdsourcing #knowledge base #named #reliability
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing (XC, MO, JM, IFI, PP, NT, YY), pp. 1952–1963.
VLDBVLDB-2015-DiaoDLLPPP #automation #data analysis #interactive #named #navigation
AIDE: An Automatic User Navigation System for Interactive Data Exploration (YD, KD, ZL, WL, OP, KP, LP), pp. 1964–1975.
VLDBVLDB-2015-DingWDFZZ #clustering #named #performance #scalability
YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDBVLDB-2015-EldawyMJ #pipes and filters #visualisation
A Demonstration of HadoopViz: An Extensible MapReduce System for Visualizing Big Spatial Data (AE, MFM, CJ), pp. 1896–1907.
VLDBVLDB-2015-FinisBK0MF
Indexing Highly Dynamic Hierarchical Data (JF, RB, AK, TN, NM, FF), pp. 986–997.
VLDBVLDB-2015-HaasAGM #crowdsourcing #named
Argonaut: Macrotask Crowdsourcing for Complex Data Processing (DH, JA, LG, AM), pp. 1642–1653.
VLDBVLDB-2015-HaasKWF0 #framework #named #scalability
Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
VLDBVLDB-2015-HeWKCLYL #named #query
SDB: A Secure Query Processing System with Data Interoperability (ZH, WKW, BK, DWLC, RL, SMY, EL), pp. 1876–1887.
VLDBVLDB-2015-HuYYDCYGZ #big data #difference #framework #privacy
Differential Privacy in Telco Big Data Platform (XH, MY, JY, YD, LC, QY, HG, JZ), pp. 1692–1703.
VLDBVLDB-2015-JoglekarGP #data analysis
Smart Drill-Down: A New Data Exploration Operator (MJ, HGM, AGP), pp. 1928–1939.
VLDBVLDB-2015-KalininCZ #multi #named #scalability
Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, , SBZ), pp. 1094–1105.
VLDBVLDB-2015-KumarJYNP #machine learning #normalisation #optimisation
Demonstration of Santoku: Optimizing Machine Learning over Normalized Data (AK, MJ, BY, JFN, JMP), pp. 1864–1875.
VLDBVLDB-2015-LiCM #approach #data-driven #query
Query From Examples: An Iterative, Data-Driven Approach to Query Construction (HL, CYC, DM), pp. 2158–2169.
VLDBVLDB-2015-Liroz-GistauAV #execution #named #parallel #performance
FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data (MLG, RA, PV), pp. 1856–1867.
VLDBVLDB-2015-LiWDD #framework #named
UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics (KL, DZW, AD, CD), pp. 557–568.
VLDBVLDB-2015-LoghinTZOT #big data #performance
A Performance Study of Big Data on Small Nodes (DL, BMT, HZ, BCO, YMT), pp. 762–773.
VLDBVLDB-2015-OrtonaOBF #named #program repair
WADaR: Joint Wrapper and Data Repair (SO, GO, MB, TF), pp. 1996–2007.
VLDBVLDB-2015-PapenbrockBFZN #profiling
Data Profiling with Metanome (TP, TB, MF, JZ, FN), pp. 1860–1871.
VLDBVLDB-2015-PsaroudakisSMSA #adaptation #concurrent #in memory #scalability #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-QiaoLTLVTDBSDB #named
Gobblin: Unifying Data Ingestion for Hadoop (LQ, YL, ST, ZL, NV, MT, YD, IB, KS, SD, CB), pp. 1764–1775.
VLDBVLDB-2015-SchubertKEZSZ #clustering #framework #nondeterminism
A Framework for Clustering Uncertain Data (ES, AK, TE, AZ, KAS, AZ), pp. 1976–1987.
VLDBVLDB-2015-SH #approach #big data #named #testing
CODD: A Dataless Approach to Big Data Testing (AS, JRH), pp. 2008–2019.
VLDBVLDB-2015-ShinRC #knowledge base #named
Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction (JS, CR, MJC), pp. 1920–1931.
VLDBVLDB-2015-ShiQMJWRO #data analysis #pipes and filters #scalability
Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, ), pp. 2110–2121.
VLDBVLDB-2015-SongZC0 #similarity
Enriching Data Imputation with Extensive Similarity Neighbors (SS, AZ, LC, JW), pp. 1286–1297.
VLDBVLDB-2015-TangCM #scalability #similarity
Scaling Similarity Joins over Tree-Structured Data (YT, YC, NM), pp. 1130–1141.
VLDBVLDB-2015-VartakRMPP #data-driven #named #performance #recommendation #visual notation #visualisation
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics (MV, SR, SM, AGP, NP), pp. 2182–2193.
VLDBVLDB-2015-Walter #big data
Big Plateaus of Big Data on the Big Island (TW), pp. 2057–2068.
VLDBVLDB-2015-WangFWDM #fault #profiling
Error Diagnosis and Data Profiling with Data X-Ray (XW, MF, YW, XLD, AM), pp. 1984–1995.
VLDBVLDB-2015-WylotCG #query #web
A Demonstration of TripleProv: Tracking and Querying Provenance over Web Data (MW, PCM, PTG), pp. 1992–2003.
VLDBVLDB-2015-Xirogiannopoulos #graph #named #relational
GraphGen: Exploring Interesting Graphs in Relational Data (KX, UK, AD), pp. 2032–2043.
VLDBVLDB-2015-YingKSS #named
TreeScope: Finding Structural Anomalies In Semi-Structured Data (SY, FK, BS, DS), pp. 1904–1915.
VLDBVLDB-2015-ZoumpatianosIP #interactive #named
RINSE: Interactive Data Series Exploration with ADS+ (KZ, SI, TP), pp. 1912–1923.
ITiCSEITiCSE-2015-AndersonNM #programming
Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine (PEA, TN, RAM), pp. 99–104.
ITiCSEITiCSE-2015-KurkovskyM #realtime #student
Student Projects with Real-time Sensor Data (SK, MM), p. 344.
ITiCSEITiCSE-2015-MishraI #data type #student
Question-Posing strategies used by students for exploring Data Structures (SM, SI), pp. 171–176.
ITiCSEITiCSE-2015-Tudor #learning #optimisation #query #xml
Virtual Learning Laboratory about Query Optimization against XML Data (LNT), p. 348.
ESOPESOP-2015-GotsmanY #data type
Composite Replicated Data Types (AG, HY), pp. 585–609.
ESOPESOP-2015-Ricciotti #data type
Binding Structures as an Abstract Data Type (WR), pp. 762–786.
FASEFASE-2015-AndriescuMI #automaton #data type #using
Composing Message Translators and Inferring Their Data Types Using Tree Automata (EA, TM, VI), pp. 35–50.
FASEFASE-2015-DaniaC #modelling #reasoning
Model-Based Formal Reasoning about Data-Management Applications (CD, MC), pp. 218–232.
FASEFASE-2015-LiuPL #energy #optimisation
Data-Oriented Characterization of Application-Level Energy Optimization (KL, GP, YDL), pp. 316–331.
FoSSaCSFoSSaCS-2015-Cotton-BarrattH #automaton #decidability #memory management #ml
Fragments of ML Decidable by Nested Data Class Memory Automata (CCB, DH, ASM, CHLO), pp. 249–263.
ICPCICPC-2015-SchermannBPLG #commit
Discovering loners and phantoms in commit and issue data (GS, MB, SP, PL, HCG), pp. 4–14.
ICPCICPC-2015-YanoKII #interactive #library #named #visualisation
VerXCombo: an interactive data visualization of popular library version combinations (YY, RGK, TI, KI), pp. 291–294.
ICSMEICSME-2015-BaloghABVGV #developer #identification #interactive
Identifying wasted effort in the field via developer interaction data (GB, GA, ÁB, LV, TG, AZV), pp. 391–400.
ICSMEICSME-2015-IloGABG #repository
Combining software interrelationship data across heterogeneous software repositories (NI, JG, TA, MB, TG), pp. 571–575.
MSRMSR-2015-DonadelliZR #case study #fault #replication #using
Organizational Volatility and Post-release Defects: A Replication Case Study Using Data from Google Chrome (SMD, YCZ, PCR), pp. 391–395.
MSRMSR-2015-PonzanelliML #development #mining #semistructured data
Summarizing Complex Development Artifacts by Mining Heterogeneous Data (LP, AM, ML), pp. 401–405.
MSRMSR-2015-PonzanelliML15a #named #stack overflow
StORMeD: Stack Overflow Ready Made Data (LP, AM, ML), pp. 474–477.
MSRMSR-2015-VasilescuSF #git #set #social
A Data Set for Social Diversity Studies of GitHub Teams (BV, AS, VF), pp. 514–517.
SANERSANER-2015-BaoLXWZ #interactive #reverse engineering
Reverse engineering time-series interaction data from screen-captured videos (LB, JL, ZX, XW, BZ), pp. 399–408.
SANERSANER-2015-SinghGN #data type #graph #memory management
MG++: Memory graphs for analyzing dynamic data structures (VS, RG, IN), pp. 291–300.
SCAMSCAM-2015-BlazyRS #obfuscation
Data tainting and obfuscation: Improving plausibility of incorrect taint (SB, SR, TS), pp. 111–120.
SCAMSCAM-2015-ChochlovEB #data flow #feature model #using
Using changeset descriptions as a data source to assist feature location (MC, ME, JB), pp. 51–60.
PLDIPLDI-2015-BarowyGHZ #named #relational #spreadsheet #using
FlashRelate: extracting relational data from semi-structured spreadsheets using examples (DWB, SG, TH, BGZ), pp. 218–228.
PLDIPLDI-2015-ChuJT #automation #imperative #induction #proving #source code
Automatic induction proofs of data-structures in imperative programs (DHC, JJ, MTT), pp. 457–466.
PLDIPLDI-2015-FeserCD #data type
Synthesizing data structure transformations from input-output examples (JKF, SC, ID), pp. 229–239.
PLDIPLDI-2015-Sivaramakrishnan #consistency #declarative #programming
Declarative programming over eventually consistent data stores (KCS, GK, SJ), pp. 413–424.
PLDIPLDI-2015-VenkatHS #data transformation #matrix
Loop and data transformations for sparse matrix code (AV, MWH, MS), pp. 521–532.
SASSAS-2015-RapoportLT #analysis #correlation #data flow #precise
Precise Data Flow Analysis in the Presence of Correlated Method Calls (MR, OL, FT), pp. 54–71.
STOCSTOC-2015-AndoniR #approximate
Optimal Data-Dependent Hashing for Approximate Near Neighbors (AA, IR), pp. 793–801.
STOCSTOC-2015-DworkFHPRR #adaptation #data analysis #statistics
Preserving Statistical Validity in Adaptive Data Analysis (CD, VF, MH, TP, OR, ALR), pp. 117–126.
DLTDLT-2015-FengLQ #word
Path Checking for MTL and TPTL over Data Words (SF, ML, KQ), pp. 326–339.
ICALPICALP-v1-2015-Canonne #big data #testing
Big Data on the Rise? — Testing Monotonicity of Distributions (CLC), pp. 294–305.
ICALPICALP-v1-2015-WeinsteinW #communication #data type
The Simultaneous Communication of Disjointness with Applications to Data Streams (OW, DPW), pp. 1082–1093.
LATALATA-2015-BilleGV #data type
Compressed Data Structures for Range Searching (PB, ILG, SV), pp. 577–586.
LATALATA-2015-BoiretHNT #constraints #logic
Logics for Unordered Trees with Data Constraints on Siblings (AB, VH, JN, RT), pp. 175–187.
FMFM-2015-AhrendtCPS #runtime #specification #verification
A Specification Language for Static and Runtime Verification of Data and Control Properties (WA, JMC, GJP, GS), pp. 108–125.
FMFM-2015-Lecomte #modelling #verification
Formal Virtual Modelling and Data Verification for Supervision Systems (TL), pp. 597–600.
FMFM-2015-ZhuYGZZZ #data flow #graph #model checking #scheduling
Static Optimal Scheduling for Synchronous Data Flow Graphs with Model Checking (XZ, RY, YLG, JZ, WZ, GZ), pp. 551–569.
CHICHI-2015-AminiRLHI #comprehension #lens #visualisation
Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens (FA, NHR, BL, CH, PI), pp. 1459–1468.
CHICHI-2015-BoyDF #question #visualisation
Storytelling in Information Visualizations: Does it Engage Users to Explore Data? (JB, FD, JDF), pp. 1449–1458.
CHICHI-2015-ChangM #spreadsheet #streaming
A Spreadsheet Model for Handling Streaming Data (KSPC, BAM), pp. 3399–3402.
CHICHI-2015-ChettyKSBFE #data transformation #internet #named
uCap: An Internet Data Management Tool For The Home (MC, HK, SS, SB, NF, WKE), pp. 3093–3102.
CHICHI-2015-DarzentasBFB #data-driven #game studies
The Data Driven Lives of Wargaming Miniatures (DPD, MAB, MF, SB), pp. 2427–2436.
CHICHI-2015-DergousoffM #crowdsourcing #gamification #mobile
Mobile Gamification for Crowdsourcing Data Collection: Leveraging the Freemium Model (KKD, RLM), pp. 1065–1074.
CHICHI-2015-JansenDIAKKSH #challenge
Opportunities and Challenges for Data Physicalization (YJ, PD, PI, JA, AK, JK, SS, KH), pp. 3227–3236.
CHICHI-2015-KimMP #mobile #volunteer
Exploring Barriers to the Adoption of Mobile Technologies for Volunteer Data Collection Campaigns (SK, JM, EP), pp. 3117–3126.
CHICHI-2015-LeeKMD #algorithm #data-driven
Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers (MKL, DK, EM, LD), pp. 1603–1612.
CHICHI-2015-LordHCBWMF #mobile
Demand in My Pocket: Mobile Devices and the Data Connectivity Marshalled in Support of Everyday Practice (CL, MH, AKC, OB, RW, JM, AF), pp. 2729–2738.
CHICHI-2015-LugerURG #design #game studies #process #using
Playing the Legal Card: Using Ideation Cards to Raise Data Protection Issues within the Design Process (EL, LU, TR, MG), pp. 457–466.
CHICHI-2015-MatthewsSRCSLG #elicitation #realtime #representation
Real-Time Representation Versus Response Elicitation in Biosensor Data (MM, JS, LR, JTC, AS, JWL, GG), pp. 605–608.
CHICHI-2015-MitraHG #quality
Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk (TM, CJH, EG), pp. 1345–1354.
CHICHI-2015-NissenB #named #process
Data-Things: Digital Fabrication Situated within Participatory Data Translation Activities (BN, JB), pp. 2467–2476.
CHICHI-2015-OuVH #data type #development #interactive
An Interactive System for Data Structure Development (JO, MTV, OH), pp. 3053–3062.
CHICHI-2015-PalenSAB #evolution
Success & Scale in a Data-Producing Organization: The Socio-Technical Evolution of OpenStreetMap in Response to Humanitarian Events (LP, RS, TJA, MB), pp. 4113–4122.
CHICHI-2015-TaylorLRSVGL #community #named
Data-in-Place: Thinking through the Relations Between Data and Community (AST, SEL, TR, DS, VV, LG, JL), pp. 2863–2872.
CHICHI-2015-TinatiKSLSS #case study #data analysis #design #framework #multi
Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform (RT, MVK, EPBS, MLR, RJS, NS), pp. 4069–4078.
CHICHI-2015-ZhaoLDHW #comparison #named #sequence #visual notation
MatrixWave: Visual Comparison of Event Sequence Data (JZ, ZL, MD, AH, AW), pp. 259–268.
CSCWCSCW-2015-DantecAMW #crowdsourcing #representation
Planning with Crowdsourced Data: Rhetoric and Representation in Transportation Planning (CALD, MA, AM, KEW), pp. 1717–1727.
CSCWCSCW-2015-FarrahiEC #community #mobile #predict
Predicting a Community’s Flu Dynamics with Mobile Phone Data (KF, RE, MC), pp. 1214–1221.
CSCWCSCW-2015-Hancock #facebook
The Facebook Study: A Personal Account of Data Science, Ethics and Change (JTH), p. 1.
CSCWCSCW-2015-HullmanDMA #visualisation
Content, Context, and Critique: Commenting on a Data Visualization Blog (JH, ND, EM, EA), pp. 1170–1175.
CSCWCSCW-2015-SnyderMCCSAG #named #social
MoodLight: Exploring Personal and Social Implications of Ambient Display of Biosensor Data (JS, MM, JTC, PFC, ES, SA, GG), pp. 143–153.
CSCWCSCW-2015-WebsterNBMWP #community #linked data #named #open data
CURIOS: Connecting Community Heritage through Linked Data (GW, HHN, DEB, CM, CDW, JZP), pp. 639–648.
HCIDHM-EH-2015-AntonyaBB #estimation #parametricity
Parameter Estimation from Motion Tracking Data (CA, SB, HB), pp. 113–121.
HCIDHM-EH-2015-LiuCKQF #data analysis #power management
Balancing Power Consumption and Data Analysis Accuracy Through Adjusting Sampling Rates: Seeking for the Optimal Configuration of Inertial Sensors for Power Wheelchair Users (TL, CC, MK, GQ, JF), pp. 184–192.
HCIDHM-EH-2015-TianLYJCS #analysis #scalability #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-DD-2015-FanHV #big data #risk management
Supply Chain Risk Management in the Era of Big Data (YF, LH, SV), pp. 283–294.
HCIDUXU-IXD-2015-BorgesonFKTR #energy #learning #visualisation
Learning from Hourly Household Energy Consumption: Extracting, Visualizing and Interpreting Household Smart Meter Data (SB, JAF, JK, CWT, RR), pp. 337–345.
HCIDUXU-IXD-2015-LucenaMA #evolution #mobile #monitoring #named
MedData: A Mobile Application Designed for Medical Teams to Monitor Clinical Evolution of Inpatient in ICU Context (CAPdL, CRM, BAdA), pp. 672–681.
HCIDUXU-IXD-2015-SuzukiCTO
Hidden Presence: Sensing Occupancy and Extracting Value from Occupancy Data (LS, PC, TT, GCO), pp. 412–424.
HCIDUXU-UI-2015-KaltenthalerLKM #data transformation #integration #user interface #visual notation
Synchronized Data Management and Its Integration into a Graphical User Interface for Archaeological Related Disciplines (DK, JYL, PK, CHvdM, HO), pp. 317–329.
HCIDUXU-UI-2015-KronbauerMS #analysis #evaluation #experience #interactive #mobile #user interface
Capture and Analysis of Interaction Data for the Evaluation of User Experience with Mobile Devices (AHK, DM, CASS), pp. 54–65.
HCIDUXU-UI-2015-Nawrot #data analysis #difference #gender #question #towards #women
Gender Differences in Temporal Data Analysis — Toward Women or Men Empowerment? (IN), pp. 232–242.
HCIDUXU-UI-2015-Search #data transformation #interactive #multi #representation
Interactive Multisensory Data Representation (PS), pp. 363–373.
HCIHCI-DE-2015-HornungPBL #challenge #interactive #perspective
Challenges for Human-Data Interaction — A Semiotic Perspective (HHH, RP, MCCB, KL), pp. 37–48.
HCIHCI-IT-2015-KurosawaST #mobile
Spatial Arrangement of Data and Commands at Bezels of Mobile Touchscreen Devices (TK, BS, JT), pp. 227–237.
HCIHCI-IT-2015-MullerLBSKSW #bibliography #data-driven #network #predict #using
Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques (MM, DL, LB, MS, KK, SS, AW), pp. 329–340.
HCIHCI-UC-2015-DantecWCM #ecosystem
Cycle Atlanta and OneBusAway: Driving Innovation Through the Data Ecosystems of Civic Computing (CALD, KEW, RJC, EDM), pp. 327–338.
HCIHCI-UC-2015-SandersCDJ #data flow
GT Journey: The Importance of Accessible Rich Data Sources to Enable Innovation (MS, RJC, BD, SJ), pp. 82–91.
HCIHIMI-IKC-2015-MayerBPGV #automation #generative #process #using #visualisation
Automatic Generation of Integrated Process Data Visualizations Using Human Knowledge (FM, UB, DP, DG, BVH), pp. 488–498.
HCIHIMI-IKC-2015-VorvoreanuMDM #comprehension #research
Dealing with Data Deluge at National Funding Agencies: An Investigation of User Needs for Understanding and Managing Research Investments (MV, AFM, ZD, KPCM), pp. 140–151.
HCIHIMI-IKC-2015-WangN #analysis #identification #matrix
Dot Matrix Analysis of Plant Operation Data for Identifying Sequential Alarms Triggered by Single Root Cause (ZW, MN), pp. 152–158.
HCIHIMI-IKD-2015-AbramiMP #image
Fusing Text and Image Data with the Help of the OWLnotator (GA, AM, DP), pp. 261–272.
HCIHIMI-IKD-2015-AlmAHU #ontology #visualisation
Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data (RA, MA, SH, BU), pp. 3–14.
HCIHIMI-IKD-2015-ArgyleLG #evaluation #predict
Evaluation of Data Display Methods in a Flash Flood Prediction Tool (EMA, CL, JJG), pp. 15–22.
HCIHIMI-IKD-2015-BurkhardtNGAK #impact analysis #modelling #policy #simulation #visualisation
Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data (DB, KN, EG, AA, JK), pp. 34–45.
HCIHIMI-IKD-2015-GareauKW #documentation #effectiveness #question #visualisation #what
An Exploration of the Effectiveness of Infographics in Contrast to Text Documents for Visualizing Census Data: What Works? (MG, RK, LW), pp. 161–171.
HCIHIMI-IKD-2015-MorizumiA #analysis #using
Analysis Using Purchasing Data in Japan (RM, YA), pp. 640–647.
HCIHIMI-IKD-2015-ProssHTH #concept #interactive #visualisation
A Concept for Visualizing Psychophysiological Data in Human Computer Interaction: The FeaturePlotter (FP, DH, HCT, HH), pp. 97–106.
HCIHIMI-IKD-2015-TrevisanPMG #big data #health #industrial #problem #security #visualisation
Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry (DGT, NSP, LM, ACBG), pp. 46–54.
HCIHIMI-IKD-2015-YoshinoO #using
Proposal of a Data Presentation Technique Using Four-Frame Cartoon Expression for a LifeLog System (TY, IO), pp. 235–246.
HCISCSM-2015-ChungM #data transfer #interactive
Interaction Study of Shuriken: User Grouping and Data Transfer Based on Inter-device Relative Positioning (JC, AM), pp. 196–206.
CAiSECAiSE-2015-AbubahiaC #approach #clustering
A Clustering Approach for Protecting GIS Vector Data (AA, MC), pp. 133–147.
CAiSECAiSE-2015-BrownL #probability #quality
Probabilistic Keys for Data Quality Management (PB, SL), pp. 118–132.
CAiSECAiSE-2015-FukusumiMK #approach #crowdsourcing #data transformation #game studies
Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management (SF, AM, HK), pp. 3–19.
CAiSECAiSE-2015-KhouriSB #approach #data transformation #lifecycle #traceability
Managing Data Warehouse Traceability: A Life-Cycle Driven Approach (SK, KS, LB), pp. 199–213.
CAiSECAiSE-2015-KopkeE #data flow #design #equivalence
Equivalence Transformations for the Design of Interorganizational Data-Flow (JK, JE), pp. 367–381.
CAiSECAiSE-2015-SirenSJ #lifecycle #requirements
The Requirements and Needs of Global Data Usage in Product Lifecycle Management (AS, KS, MJ), pp. 103–117.
CAiSECAiSE-2015-VidalCARLLR #incremental #linked data #maintenance #open data #specification
Specification and Incremental Maintenance of Linked Data Mashup Views (VMPV, MAC, NA, MR, LAPPL, GRL, CR), pp. 214–229.
CAiSECAiSE-2015-YeddulaDR #approach #enterprise #migration #modelling
A Model-Driven Approach to Enterprise Data Migration (RRY, PD, SR), pp. 230–243.
ICEISICEIS-v1-2015-Aghbari #big data #challenge #mining
Mining Big Data — Challenges and Opportunities (ZAA), pp. 379–384.
ICEISICEIS-v1-2015-AlmeidaHC #multi #question #what
What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEISICEIS-v1-2015-AnjosFBSGM #big data #search-based
Genetic Mapping of Diseases through Big Data Techniques (JCSdA, BRF, JFB, RBS, CG, UM), pp. 279–286.
ICEISICEIS-v1-2015-BerroMT #graph #open data #process #statistics
Graph-based ETL Processes for Warehousing Statistical Open Data (AB, IM, OT), pp. 271–278.
ICEISICEIS-v1-2015-CaballeroBP #assessment #process #towards
Towards Principled Data Science Assessment — The Personal Data Science Process (PdsP) (IC, LBE, MP), pp. 374–378.
ICEISICEIS-v1-2015-CarboneraA #algorithm #category theory #clustering #named
CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering (JLC, MA), pp. 603–608.
ICEISICEIS-v1-2015-Castanon-PugaSG #algorithm #data mining #fuzzy #logic #mining #mobile #using
Hybrid-Intelligent Mobile Indoor Location Using Wi-Fi Signals — Location Method Using Data Mining Algorithms and Type-2 Fuzzy Logic Systems (MCP, ASC, CGP, GLS, MFP, EAT), pp. 609–615.
ICEISICEIS-v1-2015-ChevalierMKTT #implementation #multi
Implementing Multidimensional Data Warehouses into NoSQL (MC, MEM, AK, OT, RT), pp. 172–183.
ICEISICEIS-v1-2015-EnriquezLGMC #identification #open data #problem
Entity Identification Problem in Big and Open Data (JGE, VL, MG, FJDM, MJEC), pp. 404–408.
ICEISICEIS-v1-2015-HernandezMV #energy #middleware
An IFC4-based Middleware for Data Interoperability in Energy Building Operation (JLH, SM, CV), pp. 287–294.
ICEISICEIS-v1-2015-MeisenKMRJ #named #online #query
TIDAQL — A Query Language Enabling on-Line Analytical Processing of Time Interval Data (PM, DK, TM, MR, SJ), pp. 54–66.
ICEISICEIS-v1-2015-PintoBZP #enterprise
Supporting Competitive Intelligence with Linked Enterprise Data (VAP, GSB, FZ, FSP), pp. 409–415.
ICEISICEIS-v1-2015-SilvaHL #approach #hybrid #memory management
A Hybrid Memory Data Cube Approach for High Dimension Relations (RRS, CMH, JdCL), pp. 139–149.
ICEISICEIS-v1-2015-VermaHBPD #enterprise #information management #predict #repository
Access Prediction for Knowledge Workers in Enterprise Data Repositories (CKV, MH, SB, APW, SD), pp. 150–161.
ICEISICEIS-v1-2015-YanguiNG #concept #design #multi #network #social #towards
Towards Data Warehouse Schema Design from Social Networks — Dynamic Discovery of Multidimensional Concepts (RY, AN, FG), pp. 338–345.
ICEISICEIS-v2-2015-CruzMS #modelling #process #set
Deriving a Data Model from a Set of Interrelated Business Process Models (EFC, RJM, MYS), pp. 49–59.
ICEISICEIS-v2-2015-MaranMAWO #information management #query
Proactive Domain Data Querying based on Context Information in Ambient Assisted Living Environments (VM, AM, IA, LKW, JPMdO), pp. 610–617.
ICEISICEIS-v2-2015-MikhaylovFSZFT #locality #network #process
System of Localisation of the Network Activity Source in APCS Data Lines (DM, SDF, YYS, AZ, ASF, AT), pp. 245–251.
ICEISICEIS-v2-2015-OliveiraF #bibliography #enterprise #framework #policy #sorting
A Spatial Data Infrastructure Review — Sorting the Actors and Policies from Enterprise Viewpoint (ILO, JLF), pp. 287–294.
ICEISICEIS-v2-2015-RolimRLBSSG #novel #social #towards
Towards a Novel Engine to Underlie the Data Transmission of Social Urban Sensing Applications (COR, AGdMR, VRQL, GAB, TFMdS, AMS, CFRG), pp. 662–667.
ICEISICEIS-v2-2015-SarinhoLS #dataset #linked data #open data #question
Can You Find All the Data You Expect in a Linked Dataset? (WTS, BFL, DS), pp. 648–655.
ICEISICEIS-v2-2015-ZoglaMS #analysis #problem #quality #taxonomy
Analysis of Data Quality Problem Taxonomies (AZ, IM, ES), pp. 445–450.
ICEISICEIS-v3-2015-LozanoCPA #named #ontology #query
RockQuery — An Ontology-based Data Querying Tool (JL, JLC, MP, MA), pp. 25–33.
ICEISICEIS-v3-2015-NicastroPAMBT #approach #case study #guidelines #interface #mobile
A Semiotic-informed Approach to Interface Guidelines for Mobile Applications — A Case Study on Phenology Data Acquisition (FN, RP, BA, LPCM, CB, RdST), pp. 34–43.
ICEISICEIS-v3-2015-Piedrabuena0R #data transformation
Enforcing Data Protection Regulations within e-Government Master Data Management Systems (FP, LG, RR), pp. 316–321.
ICEISICEIS-v3-2015-ThabetGG #analysis #mining #petri net #process
Petri Net Model Cost Extension based on Process Mining — Cost Data Description and Analysis (DT, SAG, HHBG), pp. 268–275.
ECIRECIR-2015-LiHLZ #twitter
Selecting Training Data for Learning-Based Twitter Search (DL, BH, TL, XZ), pp. 501–506.
ICMLICML-2015-AhnCGMW #clustering #correlation #data type
Correlation Clustering in Data Streams (KJA, GC, SG, AM, AW), pp. 2237–2246.
ICMLICML-2015-AnavaHZ #online #predict
Online Time Series Prediction with Missing Data (OA, EH, AZ), pp. 2191–2199.
ICMLICML-2015-Betancourt #monte carlo #scalability
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling (MB), pp. 533–540.
ICMLICML-2015-EggelingKG #big data
Dealing with small data: On the generalization of context trees (RE, MK, IG), pp. 1245–1253.
ICMLICML-2015-GalCG #category theory #estimation #multi #process
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.
ICMLICML-2015-GongZSTG
Discovering Temporal Causal Relations from Subsampled Data (MG, KZ, BS, DT, PG), pp. 1898–1906.
ICMLICML-2015-HazanLM #classification #rank
Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.
ICMLICML-2015-HoangHL #big data #framework #modelling #probability #process
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data (TNH, QMH, BKHL), pp. 569–578.
ICMLICML-2015-HockingRB #detection #learning #named #segmentation
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data (TH, GR, GB), pp. 324–332.
ICMLICML-2015-LengWCZL #distributed
Hashing for Distributed Data (CL, JW, JC, XZ, HL), pp. 1642–1650.
ICMLICML-2015-LimKPJ #performance #scalability #set
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets (WL, MK, HP, KJ), pp. 1367–1375.
ICMLICML-2015-NarayanPA #metaprogramming
α-β Divergences Discover Micro and Macro Structures in Data (KSN, AP, PA), pp. 796–804.
ICMLICML-2015-NockPF
Rademacher Observations, Private Data, and Boosting (RN, GP, AF), pp. 948–956.
ICMLICML-2015-PlessisNS #learning
Convex Formulation for Learning from Positive and Unlabeled Data (MCdP, GN, MS), pp. 1386–1394.
ICMLICML-2015-Soltanmohammadi #data fusion
Context-based Unsupervised Data Fusion for Decision Making (ES, MNP, MvdS), pp. 2076–2084.
ICMLICML-2015-TheisH #probability #streaming
A trust-region method for stochastic variational inference with applications to streaming data (LT, MDH), pp. 2503–2511.
ICMLICML-2015-WangWS #analysis #clustering
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data (YW, YXW, AS), pp. 1422–1431.
ICMLICML-2015-WangY #learning #matrix #multi
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
ICMLICML-2015-WeiIB #learning #set
Submodularity in Data Subset Selection and Active Learning (KW, RKI, JAB), pp. 1954–1963.
ICMLICML-2015-XiaoBBFER #feature model #question
Is Feature Selection Secure against Training Data Poisoning? (HX, BB, GB, GF, CE, FR), pp. 1689–1698.
KDDKDD-2015-ArlorioCLLP #assessment #authentication #data mining #mining
Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont (MA, JDC, GL, ML, LP), pp. 1671–1680.
KDDKDD-2015-Awadallah #data transformation #future of
Hadoop’s Impact on the Future of Data Management (AA), p. 1623.
KDDKDD-2015-BifetMRHP #big data #classification #data type #evaluation #online #performance
Efficient Online Evaluation of Big Data Stream Classifiers (AB, GDFM, JR, GH, BP), pp. 59–68.
KDDKDD-2015-ChenXZX
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference (RC, QX, YZ, JX), pp. 129–138.
KDDKDD-2015-DhurandharGRME #big data #risk management
Big Data System for Analyzing Risky Procurement Entities (AD, BG, RKR, GM, ME), pp. 1741–1750.
KDDKDD-2015-Durrant-Whyte #machine learning
Data, Knowledge and Discovery: Machine Learning meets Natural Science (HDW), p. 7.
KDDKDD-2015-FanEWAH #health #personalisation
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data (KF, ME, AW, AA, KAH), pp. 239–248.
KDDKDD-2015-FeldmanT #approximate #big data #constraints #matrix
More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data (DF, TT), pp. 249–258.
KDDKDD-2015-FuA #data-driven
Data-Driven Product Innovation (XF, HA), pp. 2311–2312.
KDDKDD-2015-GreenCCMPM #mining
Mining Administrative Data to Spur Urban Revitalization (BG, AC, MC, RM, TP, AM), pp. 1829–1838.
KDDKDD-2015-HasanW
Data Science at Visa (WH, MW), p. 1627.
KDDKDD-2015-HsiehLZ #big data #quality #recommendation
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data (HPH, SDL, YZ), pp. 437–446.
KDDKDD-2015-John #big data #case study #how
How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study (GJ), p. 1629.
KDDKDD-2015-Kamath #data-driven #optimisation
Optimizing Marketing Impact through Data Driven Decisioning (AK), p. 1631.
KDDKDD-2015-Kifer #category theory #on the
On Estimating the Swapping Rate for Categorical Data (DK), pp. 557–566.
KDDKDD-2015-MaLLQGZSZJH #crowdsourcing #fine-grained #named
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation (FM, YL, QL, MQ, JG, SZ, LS, BZ, HJ, JH), pp. 745–754.
KDDKDD-2015-MinorDC #algorithm #data-driven #evaluation #predict #process
Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications (BM, JRD, DJC), pp. 805–814.
KDDKDD-2015-MitraKBASMSL #correlation
Voltage Correlations in Smart Meter Data (RM, RK, SB, VA, BS, RM, HS, GL), pp. 1999–2008.
KDDKDD-2015-OkumuraST #analysis #classification #incremental #linear #problem
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems (SO, YS, IT), pp. 885–894.
KDDKDD-2015-QahtanAWZ #data type #detection #framework #multi
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams (AAQ, BA, SW, XZ), pp. 935–944.
KDDKDD-2015-ShanahanD #distributed #scalability #using
Large Scale Distributed Data Science using Apache Spark (JGS, LD), pp. 2323–2324.
KDDKDD-2015-SongLZ #clustering
Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
KDDKDD-2015-StantonTJVCS #data-driven #mining
Mining for Causal Relationships: A Data-Driven Study of the Islamic State (AS, AT, AJ, PV, AC, PS), pp. 2137–2146.
KDDKDD-2015-VanchinathanMRK
Discovering Valuable items from Massive Data (HPV, AM, CAR, DK, AK), pp. 1195–1204.
KDDKDD-2015-WangCGDKCMS #data analysis #health #named
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.
KDDKDD-2015-WangYLXXCR #predict #using
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (YW, NJY, DL, LX, XX, EC, YR), pp. 1275–1284.
KDDKDD-2015-White #enterprise
Data Science from the Lab to the Field to the Enterprise (CW), p. 1637.
KDDKDD-2015-WickerKDSBKW0 #data mining #mining #smell
Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.
KDDKDD-2015-WuYC #predict #realtime
Predicting Winning Price in Real Time Bidding with Censored Data (WCHW, MYY, MSC), pp. 1305–1314.
KDDKDD-2015-XingHDKWLZXKY #big data #distributed #framework #machine learning #named
Petuum: A New Platform for Distributed Machine Learning on Big Data (EPX, QH, WD, JKK, JW, SL, XZ, PX, AK, YY), pp. 1335–1344.
KDDKDD-2015-YangLJ #big data #data analysis #optimisation
Big Data Analytics: Optimization and Randomization (TY, QL, RJ), p. 2327.
KDDKDD-2015-ZhangKX #contest #image #modelling #monitoring #online #topic
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data (HZ, GK, EPX), pp. 1425–1434.
KDDKDD-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.
KDDKDD-2015-ZhengP #fault #kernel #scalability
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
KDDKDD-2015-ZhengYLLSCL #big data #fine-grained #quality
Forecasting Fine-Grained Air Quality Based on Big Data (YZ, XY, ML, RL, ZS, EC, TL), pp. 2267–2276.
KDDKDD-2015-ZoumpatianosLPG #query
Query Workloads for Data Series Indexes (KZ, YL, TP, JG), pp. 1603–1612.
MLDMMLDM-2015-Al-SaleemAAB #education #mining #performance #predict #student
Mining Educational Data to Predict Students’ Academic Performance (MAS, NAK, SAO, GB), pp. 403–414.
MLDMMLDM-2015-AlzahraniAAB #data analysis
Data Analysis for Courses Registration (NA, RA, NA, GB), pp. 357–367.
MLDMMLDM-2015-Chou #data-driven #geometry #learning
Data Driven Geometry for Learning (EPC), pp. 395–402.
MLDMMLDM-2015-KarkkainenS #analysis #component #robust
Robust Principal Component Analysis of Data with Missing Values (TK, MS), pp. 140–154.
MLDMMLDM-2015-MojahedBWI #analysis #clustering #matrix #semistructured data #similarity #using
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF) (AM, JHBS, WW, BdlI), pp. 251–265.
MLDMMLDM-2015-MoldovanM #data mining #learning #mining #performance #using
Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining (DM, SM), pp. 368–381.
MLDMMLDM-2015-RibeiroOFVC #modelling
Patient-Specific Modeling of Medical Data (GASR, ACMdO, ALSF, SV, GFC), pp. 415–424.
MLDMMLDM-2015-SalahAM #mining #optimisation #performance #pipes and filters
Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce (SS, RA, FM), pp. 217–231.
MLDMMLDM-2015-TreechalongRW #clustering #using
Semi-Supervised Stream Clustering Using Labeled Data Points (KT, TR, KW), pp. 281–295.
RecSysRecSys-2015-BanksRS #game studies #recommendation #using
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data (SB, RR, BS), pp. 305–308.
RecSysRecSys-2015-Geuens #behaviour #hybrid #recommendation
Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data (SG), pp. 379–382.
RecSysRecSys-2015-HopfgartnerKHT #realtime #recommendation
Real-time Recommendation of Streamed Data (FH, BK, TH, RT), pp. 361–362.
RecSysRecSys-2015-Ludmann #data type #online #recommendation
Online Recommender Systems based on Data Stream Management Systems (CAL), pp. 391–394.
RecSysRecSys-2015-ShalomBRZA #matter #quality #recommendation
Data Quality Matters in Recommender Systems (OSS, SB, RR, EZ, AA), pp. 257–260.
SEKESEKE-2015-ElerDE #exception #execution #generative #symbolic computation #testing
Analyzing Exceptions in the Context of Test Data Generation Based on Symbolic Execution (MME, VHSD, ATE), pp. 346–351.
SEKESEKE-2015-GaoKN #set
Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data (KG, TMK, AN), pp. 439–444.
SEKESEKE-2015-KinneerKMW #automation #database #generative #performance #relational #search-based #testing
Automatically Evaluating the Efficiency of Search-Based Test Data Generation for Relational Database Schemas (CK, GMK, PM, CJW), pp. 352–357.
SEKESEKE-2015-NetoSZD #network #using
Using implications from FCA to represent a two mode network data (SMN, MAJS, LEZ, SMD), pp. 256–259.
SEKESEKE-2015-RadulovicGG #rdf #towards
Towards the Anonymisation of RDF Data (FR, RGC, AGP), pp. 646–651.
SEKESEKE-2015-SaberE #algorithm #array #clustering #novel
BiBinConvmean : A Novel Biclustering Algorithm for Binary Microarray Data (HBS, ME), pp. 178–181.
SEKESEKE-2015-SunSWZ #analysis #data flow #detection #fault #integer #using
Improving the Accuracy of Integer Signedness Error Detection Using Data Flow Analysis (HS, CS, YW, QZ), pp. 601–606.
SEKESEKE-2015-WangKN #feature model #re-engineering
Stability of Three Forms of Feature Selection Methods on Software Engineering Data (HW, TMK, AN), pp. 385–390.
SIGIRSIGIR-2015-ChakrabortyGP #corpus #retrieval
Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data (AC, KG, SKP), pp. 755–758.
SIGIRSIGIR-2015-ZhiltsovKN #ad hoc #dependence #retrieval #web
Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data (NZ, AK, FN), pp. 253–262.
MODELSMoDELS-J-2011-BavotaGOLTGC15 #analysis #diagrams #fine-grained #maintenance #uml
A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance (GB, CG, RO, ADL, GT, MG, JACL), pp. 287–306.
MODELSMoDELS-J-2011-BavotaGOLTGC15 #analysis #diagrams #fine-grained #maintenance #uml
A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance (GB, CG, RO, ADL, GT, MG, JACL), pp. 287–306.
OnwardOnward-2015-WaelMKSM #data type
Just-in-time data structures (MDW, SM, JDK, JBS, WDM), pp. 61–75.
OOPSLAOOPSLA-2015-0003KLS #data type #memory management #multi #performance #scalability
Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures (MA, CMK, ML, AS), pp. 451–469.
OOPSLAOOPSLA-2015-CohenP #automation #data type #memory management
Automatic memory reclamation for lock-free data structures (NC, EP), pp. 260–279.
OOPSLAOOPSLA-2015-UrecheBSO #ad hoc #automation #data transformation #representation
Automating ad hoc data representation transformations (VU, AB, YS, MO), pp. 801–820.
PADLPADL-2015-BalducciniKS #semantics
Ontology-Driven Data Semantics Discovery for Cyber-Security (MB, SK, JS), pp. 1–16.
POPLPOPL-2015-DelawarePGC #data type #deduction #named #proving #synthesis
Fiat: Deductive Synthesis of Abstract Data Types in a Proof Assistant (BD, CPC, JG, AC), pp. 689–700.
POPLPOPL-2015-ElangoRPRS #complexity #data access #on the #source code
On Characterizing the Data Access Complexity of Programs (VE, FR, LNP, JR, PS), pp. 567–580.
POPLPOPL-2015-TangWZXZM #analysis #data flow
Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks (HT, XW, LZ, BX, LZ, HM), pp. 83–95.
POPLPOPL-2015-VeanesMML #source code #string
Data-Parallel String-Manipulating Programs (MV, TM, DM, BL), pp. 139–152.
SACSAC-2015-BadouelHKM #approach #collaboration #distributed
A grammatical approach to data-centric case management in a distributed collaborative environment (EB, LH, GEK, CM), pp. 1834–1839.
SACSAC-2015-BarbosaBA #monitoring
Defending against load monitoring in smart metering data through noise addition (PB, AB, HA), pp. 2218–2224.
SACSAC-2015-BarddalGE #algorithm #clustering #data type #named #social
SNCStream: a social network-based data stream clustering algorithm (JPB, HMG, FE), pp. 935–940.
SACSAC-2015-BlombergBR #evolution #robust
Evolving regression trees robust to missing data (LCB, RCB, DDR), pp. 102–109.
SACSAC-2015-ChaudhuriMG #network #predict #using
QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression (AC, SM, SKG), pp. 659–661.
SACSAC-2015-ChengCCHT #deployment #smarttech
The deployment of shared data objects among handheld and wearable devices (SWC, CWC, YHC, PCH, CHT), pp. 2245–2251.
SACSAC-2015-ChengKWT #scalability #semantics #throughput #web
High throughput indexing for large-scale semantic web data (LC, SK, TEW, GT), pp. 416–422.
SACSAC-2015-DionisisCP #adaptation #execution #feedback #framework #hybrid #monitoring #using
A hybrid framework for WS-BPEL scenario execution adaptation, using monitoring and feedback data (MD, VC, GP), pp. 1672–1679.
SACSAC-2015-FahnrichSP #database #identification #in memory #search-based
Facing the genome data deluge: efficiently identifying genetic variants with in-memory database technology (CF, MPS, HP), pp. 18–25.
SACSAC-2015-Fongen #tuple
Data-centric authorization and integrity control in a Linda tuplespace (AF), pp. 1827–1833.
SACSAC-2015-GayathriK #rdf #rule-based
Horn-rule based compression technique for RDF data (VG, PSK), pp. 396–401.
SACSAC-2015-GomesBE #classification #data type #learning
Pairwise combination of classifiers for ensemble learning on data streams (HMG, JPB, FE), pp. 941–946.
SACSAC-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.
SACSAC-2015-JesusVB #functional #testing #web
Leveraging task-based data to support functional testing of web applications (FRdJ, LGdV, LABJ), pp. 783–790.
SACSAC-2015-JoCKBO #algorithm #approach #collaboration #cpu #data-driven #on the
On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach (YYJ, SC, SWK, DHB, HO), pp. 2060–2065.
SACSAC-2015-JoselliJC #animation #data type #gpu #named #proximity
NGrid: a proximity data structure for fluids animation with GPU computing (MJ, JRdSJ, EC), pp. 1303–1308.
SACSAC-2015-KaplanisKSMT
HB+tree: use hadoop and HBase even your data isn’t that big (AK, MK, SS, CM, GT), pp. 973–980.
SACSAC-2015-LagoMM #estimation #network #power management
High speed network impacts and power consumption estimation for cloud data centers (DGdL, ERMM, DM), pp. 615–620.
SACSAC-2015-LoffRM #predict #social #social media
Predicting well-being with geo-referenced data collected from social media platforms (JL, MR, BM), pp. 1167–1173.
SACSAC-2015-LopesT #framework #performance
A framework for investigating the performance of sum aggregations over encrypted data warehouses (CCL, VCT), pp. 1000–1007.
SACSAC-2015-MinHJCH #distributed #performance #process #scalability
An efficient backup-recovery technique to process large data in distributed key-value store (DM, TH, JJ, YC, JH), pp. 2072–2074.
SACSAC-2015-Moawad0FKT #adaptation #privacy #ubiquitous
Adaptive blurring of sensor data to balance privacy and utility for ubiquitous services (AM, TH, FF, JK, YLT), pp. 2271–2278.
SACSAC-2015-MongioviGFPT #analysis #approach #data flow #detection #hybrid #java
Combining static and dynamic data flow analysis: a hybrid approach for detecting data leaks in java applications (MM, GG, AF, GP, ET), pp. 1573–1579.
SACSAC-2015-MoreiraJR #analysis #reduction #similarity #visual notation
Visual similarity analysis in loop closure through data dimensionality reduction via diffusion maps (LASM, CMJ, PFFR), pp. 289–294.
SACSAC-2015-NascimentoPM #algorithm #machine learning #metaheuristic
A data quality-aware cloud service based on metaheuristic and machine learning provisioning algorithms (DCN, CESP, DGM), pp. 1696–1703.
SACSAC-2015-PapeBH #adaptation #data type #execution #optimisation #performance
Adaptive just-in-time value class optimization: transparent data structure inlining for fast execution (TP, CFB, RH), pp. 1970–1977.
SACSAC-2015-ReadPB #data type #learning
Deep learning in partially-labeled data streams (JR, FPC, AB), pp. 954–959.
SACSAC-2015-Rekha #big data #detection #performance #using
A fast support vector data description system for anomaly detection using big data (AGR), pp. 931–932.
SACSAC-2015-RychnovskyH #generative #query #xml #xpath
Generating XML data for XPath queries (DR, IH), pp. 724–731.
SACSAC-2015-SeifertSG #personalisation #set #towards
Towards a feature-rich data set for personalized access to long-tail content (CS, JS, MG), pp. 1031–1038.
SACSAC-2015-SilvaLP #locality #multi #replication
Boosting locality in multi-version partial data replication (JAS, JL, HP), pp. 1309–1314.
SACSAC-2015-StracciaM #concept #estimation #fuzzy #learning #named #owl #probability #using
pFOIL-DL: learning (fuzzy) EL concept descriptions from crisp OWL data using a probabilistic ensemble estimation (US, MM), pp. 345–352.
SACSAC-2015-ThionLB #data access #data flow #relational
Tuple-based access control: a provenance-based information flow control for relational data (RT, FL, MBGT), pp. 2165–2170.
SACSAC-2015-Usener #assessment #automation #data type #education #named
EASy-DSBuilder: automated assessment of tree data structures in computer science teaching (CAU), pp. 220–226.
ESEC-FSEESEC-FSE-2015-ArcuriFG #automation #generative #network #testing
Generating TCP/UDP network data for automated unit test generation (AA, GF, JPG), pp. 155–165.
ESEC-FSEESEC-FSE-2015-ZhengMZ #capacity #constraints #identification #problem #process
A method to identify and correct problematic software activity data: exploiting capacity constraints and data redundancies (QZ, AM, MZ), pp. 637–648.
ICSEICSE-v1-2015-AvdiienkoKGZARB #mining
Mining Apps for Abnormal Usage of Sensitive Data (VA, KK, AG, AZ, SA, SR, EB), pp. 426–436.
ICSEICSE-v1-2015-BocicB #performance #verification
Coexecutability for Efficient Verification of Data Model Updates (IB, TB), pp. 744–754.
ICSEICSE-v1-2015-DenaroMPV #data flow #object-oriented #testing
Dynamic Data Flow Testing of Object Oriented Systems (GD, AM, MP, MV), pp. 947–958.
ICSEICSE-v1-2015-DeweyNH #automation #data type #generative
Automated Data Structure Generation: Refuting Common Wisdom (KD, LN, BH), pp. 32–43.
ICSEICSE-v1-2015-GopanDNNLM
Data-Delineation in Software Binaries and its Application to Buffer-Overrun Discovery (DG, ED, DN, DN, AL, DM), pp. 145–155.
ICSEICSE-v1-2015-PetersML #fault #named #predict #privacy
LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction (FP, TM, LL), pp. 801–811.
ICSEICSE-v1-2015-SuFPHS #data flow #execution #model checking #symbolic computation #testing
Combining Symbolic Execution and Model Checking for Data Flow Testing (TS, ZF, GP, JH, ZS), pp. 654–665.
ICSEICSE-v2-2015-Avdiienko #mining
Mining Patterns of Sensitive Data Usage (VA), pp. 891–894.
ICSEICSE-v2-2015-BaoLXWZ #behaviour #developer #interactive #modelling #named #using #video
scvRipper: Video Scraping Tool for Modeling Developers’ Behavior Using Interaction Data (LB, JL, ZX, XW, BZ), pp. 673–676.
ICSEICSE-v2-2015-Lemieux #invariant #mining
Mining Temporal Properties of Data Invariants (CL), pp. 751–753.
ICSEICSE-v2-2015-MenziesMP #data analysis
The Art and Science of Analyzing Software Data; Quantitative Methods (TM, LLM, FP), pp. 959–960.
ICSEICSE-v2-2015-NagappanM #big data #re-engineering
Big(ger) Data in Software Engineering (MN, MM), pp. 957–958.
ICSEICSE-v2-2015-TanTDM #fault #online #predict
Online Defect Prediction for Imbalanced Data (MT, LT, SD, CM), pp. 99–108.
ICSEICSE-v2-2015-YusufTSAMDORBS #data transformation #framework #in the cloud #named #reliability
Chiminey: Reliable Computing and Data Management Platform in the Cloud (IIY, IET, MS, SGA, GRM, DWD, GO, SPR, AMB, HWS), pp. 677–680.
ICSEICSE-v2-2015-ZhouLZLLQ #big data #empirical #framework #quality
An Empirical Study on Quality Issues of Production Big Data Platform (HZ, JGL, HZ, HL, HL, TQ), pp. 17–26.
ASPLOSASPLOS-2015-ColpZGSLRSW #memory management #smarttech
Protecting Data on Smartphones and Tablets from Memory Attacks (PC, JZ, JG, SS, EdL, HR, SS, AW), pp. 177–189.
ASPLOSASPLOS-2015-DavidGT #concurrent #data type #scalability
Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures (TD, RG, VT), pp. 631–644.
ASPLOSASPLOS-2015-Gidra0SSN #big data #garbage collection #named
NumaGiC: a Garbage Collector for Big Data on Big NUMA Machines (LG, GT, JS, MS, NN), pp. 661–673.
ASPLOSASPLOS-2015-NguyenWBFHX #big data #bound #compilation #named #runtime
FACADE: A Compiler and Runtime for (Almost) Object-Bounded Big Data Applications (KN, KW, YB, LF, JH, G(X), pp. 675–690.
CCCC-2015-DarteI #approximate #optimisation #parametricity
Exact and Approximated Data-Reuse Optimizations for Tiling with Parametric Sizes (AD, AI), pp. 151–170.
CGOCGO-2015-ArthurMDA #control flow
Getting in control of your control flow with control-data isolation (WA, BM, RD, TMA), pp. 79–90.
CGOCGO-2015-FauziaPS #memory management
Characterizing and enhancing global memory data coalescing on GPUs (NF, LNP, PS), pp. 12–22.
CGOCGO-2015-LiYLZ #automation #gpu #memory management
Automatic data placement into GPU on-chip memory resources (CL, YY, ZL, HZ), pp. 23–33.
CGOCGO-2015-LuciaC #concurrent #source code
Data provenance tracking for concurrent programs (BL, LC), pp. 146–156.
HPCAHPCA-2015-BeckmannTS #distributed #scalability
Scaling distributed cache hierarchies through computation and data co-scheduling (NB, PAT, DS), pp. 538–550.
HPCAHPCA-2015-CaiLHMM #memory management #optimisation
Data retention in MLC NAND flash memory: Characterization, optimization, and recovery (YC, YL, EFH, KM, OM), pp. 551–563.
HPCAHPCA-2015-IslamMRW #low cost
Paying to save: Reducing cost of colocation data center via rewards (MAI, AHM, SR, XW), pp. 235–245.
HPDCHPDC-2015-BerrocalBDLC #data analysis #detection #lightweight #runtime
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications (EB, LABG, SD, ZL, FC), pp. 275–278.
HPDCHPDC-2015-ChengIGB #data analysis #in the cloud #named
CAST: Tiering Storage for Data Analytics in the Cloud (YC, MSI, AG, ARB), pp. 45–56.
HPDCHPDC-2015-SuWA #data analysis #generative #performance
In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps (YS, YW, GA), pp. 61–72.
ISMMISMM-2015-CohenP #data type #garbage collection
Data structure aware garbage collector (NC, EP), pp. 28–40.
LCTESLCTES-2015-BardizbanyanSWL #data access #performance #using
Improving Data Access Efficiency by Using Context-Aware Loads and Stores (AB, MS, DBW, PLE), p. 10.
PPoPPPPoPP-2015-MajoG #composition #library #locality #optimisation
A library for portable and composable data locality optimizations for NUMA systems (ZM, TRG), pp. 227–238.
PPoPPPPoPP-2015-McPhersonNSC #detection #legacy #source code
Fence placement for legacy data-race-free programs via synchronization read detection (AJM, VN, SS, MC), pp. 249–250.
SOSPSOSP-2015-FangNXDL #memory management #scalability #source code
Interruptible tasks: treating memory pressure as interrupts for highly scalable data-parallel programs (LF, KN, G(X, BD, SL), pp. 394–409.
CAVCAV-2015-FisherKPW #execution #network
Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data (JF, ASK, NP, SW), pp. 544–560.
ICLPICLP-2015-CruzRG #data-driven #logic programming #parallel #source code #thread
Thread-Aware Logic Programming for Data-Driven Parallel Programs (FC, RR, SCG).
ICLPICLP-2015-Hallen #data mining #higher-order #logic #mining #specification
Higher Order Support in Logic Specification Languages for Data Mining Applications (MvdH).
ICLPICLP-J-2015-MannaRT #consistency #query #scalability
Taming primary key violations to query large inconsistent data via ASP (MM, FR, GT), pp. 696–710.
ICSTICST-2015-LiEGO #big data #framework #scalability
A Scalable Big Data Test Framework (NL, AE, YG, JO), pp. 1–2.
ICSTICST-2015-NardoPB #analysis #generative #modelling #mutation testing #testing
Generating Complex and Faulty Test Data through Model-Based Mutation Analysis (DDN, FP, LCB), pp. 1–10.
ICSTICST-2015-PouldingF #generative #testing
Re-Using Generators of Complex Test Data (SMP, RF), pp. 1–10.
ICSTICST-2015-Salloum #data transformation #development #information management #integration #process
Seamless Integration of Test Information Management and Calibration Data Management in the Overall Automotive Development Process (CES), pp. 1–3.
ISSTAISSTA-2015-MusluBM #fault #testing
Preventing data errors with continuous testing (KM, YB, AM), pp. 373–384.
LICSLICS-2015-Kifer #privacy
Privacy and the Price of Data (DK), p. 16.
RTARTA-2015-Kirchner #data analysis #graph
Port Graphs, Rules and Strategies for Dynamic Data Analytics — Extended Abstract (Invited Talk) (HK), pp. 1–4.
ICSTSAT-2015-IvriiRS #incremental #mining #satisfiability
Mining Backbone Literals in Incremental SAT — A New Kind of Incremental Data (AI, VR, OS), pp. 88–103.
VMCAIVMCAI-2015-MukundRS #bound #data type #implementation
Bounded Implementations of Replicated Data Types (MM, GSR, SPS), pp. 355–372.
QoSAQoSA-2014-BuhnovaCF #bibliography #modelling #predict #reliability
Failure data collection for reliability prediction models: a survey (BB, SC, LF), pp. 83–92.
WICSAWICSA-2014-HarperD #agile #architecture #data analysis
Agile Software Architecture in Advanced Data Analytics (KEH, AD), pp. 243–246.
ASEASE-2014-HamidiAL #adaptation #using
Constructing adaptive configuration dialogs using crowd data (SH, PA, SL), pp. 485–490.
ASEASE-2014-LiC #runtime #validation
Symbolic state validation through runtime data (YL, SCC), pp. 187–198.
ASEASE-2014-LinYSM #agile #project management #tool support
Studying task allocation decisions of novice agile teams with data from agile project management tools (JL, HY, ZS, CM), pp. 689–694.
ASEASE-2014-StephenSSE #big data #program analysis
Program analysis for secure big data processing (JJS, SS, RS, PTE), pp. 277–288.
CASECASE-2014-HungCYDYW #behaviour #data mining #mining
Data mining for analysing kiosk usage behavior patterns (YSH, KLBC, CTY, GFD, YHY, NCW), pp. 1115–1120.
CASECASE-2014-LinW
Applications of data assimilation to forecasting indoor environment (CCL, LW), pp. 1097–1102.
CASECASE-2014-MahlerKLSMKPWFAG #learning #process #using
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (JM, SK, ML, SS, AM, BK, SP, JW, MF, PA, KYG), pp. 532–539.
CASECASE-2014-YuM #approach #data-driven #detection #statistics
Data-driven bottleneck detection in manufacturing systems: A statistical approach (CY, AM), pp. 710–715.
DACDAC-2014-AmaruGM #algorithm #graph #logic #novel #optimisation #performance
Majority-Inverter Graph: A Novel Data-Structure and Algorithms for Efficient Logic Optimization (LGA, PEG, GDM), p. 6.
DACDAC-2014-CongLXZ #architecture #clustering #reuse
An Optimal Microarchitecture for Stencil Computation Acceleration Based on Non-Uniform Partitioning of Data Reuse Buffers (JC, PL, BX, PZ), p. 6.
DACDAC-2014-LinWC #data mining #design #logic #mining #named #power management #synthesis
C-Mine: Data Mining of Logic Common Cases for Low Power Synthesis of Better-Than-Worst-Case Designs (CHL, LW, DC), p. 6.
DACDAC-2014-MukherjeeL
Leveraging pre-silicon data to diagnose out-of-specification failures in mixed-signal circuits (PM, PL), p. 6.
DACDAC-2014-SarmaVD #distributed #middleware #mobile #perspective
Sense-making from Distributed and Mobile Sensing Data: A Middleware Perspective (SS, NV, ND), p. 6.
DACDAC-2014-TsaiCYYHCCC #energy #using
Leveraging Data Lifetime for Energy-Aware Last Level Non-Volatile SRAM Caches using Redundant Store Elimination (HJT, CCC, KHY, TCY, LYH, CHC, MFC, TFC), p. 6.
DACDAC-2014-WangA #constraints #data mining #mining
Data Mining In EDA — Basic Principles, Promises, and Constraints (LCW, MSA), p. 6.
DACDAC-2014-YounGK #debugging #locality #probability #statistics
Probabilistic Bug Localization via Statistical Inference based on Partially Observed Data (SY, CG, JK), p. 6.
DATEDATE-2014-0002LLCXY #big data #data analysis #energy #network #performance
Energy efficient neural networks for big data analytics (YW, BL, RL, YC, NX, HY), pp. 1–2.
DATEDATE-2014-AksanliR #data transformation
Providing regulation services and managing data center peak power budgets (BA, TR), pp. 1–4.
DATEDATE-2014-BardizbanyanSWL #data flow #dependence #detection #energy
Reducing set-associative L1 data cache energy by early load data dependence detection (ELD3) (AB, MS, DBW, PLE), pp. 1–4.
DATEDATE-2014-DelvauxV
Key-recovery attacks on various RO PUF constructions via helper data manipulation (JD, IV), pp. 1–6.
DATEDATE-2014-Fu0PJZ #data flow #detection #fault #parallel #thread
A fault detection mechanism in a Data-flow scheduled Multithreaded processor (JF, QY, RP, CRJ, CZ), pp. 1–4.
DATEDATE-2014-HillerS #performance
Increasing the efficiency of syndrome coding for PUFs with helper data compression (MH, GS), pp. 1–6.
DATEDATE-2014-KeramidasMKN #predict
Spatial pattern prediction based management of faulty data caches (GK, MM, AK, DN), pp. 1–6.
DATEDATE-2014-LagraaTP #data mining #mining #scalability #simulation #using
Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces (SL, AT, FP), pp. 1–6.
DATEDATE-2014-MeeusS #automation #reuse #synthesis
Automating data reuse in High-Level Synthesis (WM, DS), pp. 1–4.
DATEDATE-2014-RoyJ #named #optimisation #thread
ALLARM: Optimizing sparse directories for thread-local data (AR, TMJ), pp. 1–6.
DATEDATE-2014-SharmaPLAC #composition #data flow #energy #performance
Energy efficient data flow transformation for Givens Rotation based QR Decomposition (NS, PRP, ML, PA, FC), pp. 1–4.
DATEDATE-2014-TsaiCCC #3d #configuration management #memory management #multi
Scenario-aware data placement and memory area allocation for Multi-Processor System-on-Chips with reconfigurable 3D-stacked SRAMs (MLT, YJC, YTC, RHC), pp. 1–6.
DocEngDocEng-2014-SchmitzP #big data #tool support
Humanist-centric tools for big data: berkeley prosopography services (PS, LP), pp. 179–188.
DRRDRR-2014-TaghvaA #fault #identification #web
Utilizing web data in identification and correction of OCR errors (KT, SA), pp. 902109–6.
HTHT-2014-AbbasiTL #learning #scalability #using
Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.
HTHT-2014-ChengKWT #architecture #distributed #memory management #performance #rdf #scalability
A two-tier index architecture for fast processing large RDF data over distributed memory (LC, SK, TEW, GT), pp. 300–302.
HTHT-2014-Hidalgo #big data #comprehension #development #network #social #visualisation
Big data visualization engines for understanding the development of countries, social networks, culture and cities (CAH), p. 3.
HTHT-2014-KotoulasLSSTA #approach #coordination #linked data #open data
A linked data approach to care coordination (SK, VL, MLS, MS, PT, PMA), pp. 77–87.
HTHT-2014-Santos-NetoPAR #data flow #on the #optimisation
On the choice of data sources to improve content discoverability via textual feature optimization (ESN, TP, JMA, MR), pp. 273–278.
HTHT-2014-SubercazeG #named #recognition
FoP: never-ending face recognition and data lifting (JS, CG), pp. 321–323.
HTHT-2014-ThomeeM #automation #equivalence
Automatic discovery of global and local equivalence relationships in labeled geo-spatial data (BT, GDFM), pp. 158–168.
PODSPODS-2014-FanGL #big data #independence #on the #query
On scale independence for querying big data (WF, FG, LL), pp. 51–62.
PODSPODS-2014-Haas #challenge #ecosystem #roadmap #tool support
Model-data Ecosystems: challenges, tools, and trends (PJH), pp. 76–87.
PODSPODS-2014-Libkin #how #semistructured data #what
Incomplete data: what went wrong, and how to fix it (LL), pp. 1–13.
SIGMODSIGMOD-2014-0001SW #data flow #named #source code
BabbleFlow: a translator for analytic data flow programs (PJ, AS, KW), pp. 713–716.
SIGMODSIGMOD-2014-AlarabiEAM #named #web #web service
TAREEG: a MapReduce-based web service for extracting spatial data from OpenStreetMap (LA, AE, RA, MFM), pp. 897–900.
SIGMODSIGMOD-2014-ArasuEKR #query
Querying encrypted data (AA, KE, RK, RR), pp. 1259–1261.
SIGMODSIGMOD-2014-BlanasWBDS #data analysis #parallel
Parallel data analysis directly on scientific file formats (SB, KW, SB, BD, AS), pp. 385–396.
SIGMODSIGMOD-2014-ChalamallaIOP
Descriptive and prescriptive data cleaning (AC, IFI, MO, PP), pp. 445–456.
SIGMODSIGMOD-2014-ChengR #parallel
Parallel in-situ data processing with speculative loading (YC, FR), pp. 1287–1298.
SIGMODSIGMOD-2014-DimitriadouPD #automation #data analysis #framework #interactive #named #query
Explore-by-example: an automatic query steering framework for interactive data exploration (KD, OP, YD), pp. 517–528.
SIGMODSIGMOD-2014-ElmeleegyOR #distributed #memory management #named #pipes and filters #using
SpongeFiles: mitigating data skew in mapreduce using distributed memory (KE, CO, BR), pp. 551–562.
SIGMODSIGMOD-2014-EmrichFKNRZ #framework #nondeterminism
An extendable framework for managing uncertain spatio-temporal data (TE, MF, HPK, JN, MR, AZ), pp. 1087–1090.
SIGMODSIGMOD-2014-GaoJLO #named
DSH: data sensitive hashing for high-dimensional k-nnsearch (JG, HVJ, WL, BCO), pp. 1127–1138.
SIGMODSIGMOD-2014-GulwaniM #data analysis #interactive #named #natural language #programming #spreadsheet
NLyze: interactive programming by natural language for spreadsheet data analysis and manipulation (SG, MM), pp. 803–814.
SIGMODSIGMOD-2014-HalperinACCKMORWWXBHS #big data #data transformation
Demonstration of the Myria big data management service (DH, VTdA, LLC, SC, PK, DM, JO, VR, JW, AW, SX, MB, BH, DS), pp. 881–884.
SIGMODSIGMOD-2014-HanW #mining
Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.
SIGMODSIGMOD-2014-HoweFFFKR #database #education #question
Should we all be teaching “intro to data science” instead of “intro to databases”? (BH, MJF, JF, JF, TK, RR), pp. 917–918.
SIGMODSIGMOD-2014-HuangCCLXWBH #generative
The next generation operational data historian for IoT based on informix (SH, YC, XC, KL, XX, CW, KB, IH), pp. 169–176.
SIGMODSIGMOD-2014-IstvanWA #big data #data flow
Histograms as a side effect of data movement for big data (ZI, LW, GA), pp. 1567–1578.
SIGMODSIGMOD-2014-KalininCZ #data analysis #interactive #semantics #using
Interactive data exploration using semantic windows (AK, , SBZ), pp. 505–516.
SIGMODSIGMOD-2014-KaoudiM #data transformation #rdf
Cloud-based RDF data management (ZK, IM), pp. 725–729.
SIGMODSIGMOD-2014-KaranasosBKOEXJ #optimisation #query #scalability
Dynamically optimizing queries over large scale data platforms (KK, AB, MK, , VE, CX, JJ), pp. 943–954.
SIGMODSIGMOD-2014-Kroetsch #database #in memory #multi #statistics
Multi-dimensional data statistics for columnar in-memory databases (CK), pp. 1605–1606.
SIGMODSIGMOD-2014-LeFevreSHTPC #big data #data analysis #design #physics
Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
SIGMODSIGMOD-2014-LeFevreSHTPC14a #big data #multi #named #query
MISO: souping up big data query processing with a multistore system (JL, JS, HH, JT, NP, MJC), pp. 1591–1602.
SIGMODSIGMOD-2014-LiLGZFH #estimation #reliability #semistructured data
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation (QL, YL, JG, BZ, WF, JH), pp. 1187–1198.
SIGMODSIGMOD-2014-LiuH #cost analysis #online #optimisation
Online optimization and fair costing for dynamic data sharing in a cloud data market (ZL, HH), pp. 1359–1370.
SIGMODSIGMOD-2014-LiuHM #data transformation #development
JSON data management: supporting schema-less development in RDBMS (ZHL, BCH, DM), pp. 1247–1258.
SIGMODSIGMOD-2014-OzcanTAKMRW #big data #question
Are we experiencing a big data bubble? (, NT, DJA, MK, CM, KR, JLW), pp. 1407–1408.
SIGMODSIGMOD-2014-PapailiouTKKK #data transformation #graph #performance #rdf
H2RDF+: an efficient data management system for big RDF graphs (NP, DT, IK, PK, NK), pp. 909–912.
SIGMODSIGMOD-2014-ParameswaranTGW #named #tool support
DataSift: a crowd-powered search toolkit (AGP, MHT, HGM, JW), pp. 885–888.
SIGMODSIGMOD-2014-ParkW #named
CrowdFill: collecting structured data from the crowd (HP, JW), pp. 577–588.
SIGMODSIGMOD-2014-PochampallySDMS #correlation
Fusing data with correlations (RP, ADS, XLD, AM, DS), pp. 433–444.
SIGMODSIGMOD-2014-RekatsinasDS #data flow
Characterizing and selecting fresh data sources (TR, XLD, DS), pp. 919–930.
SIGMODSIGMOD-2014-RheinlanderBKHSL #data flow #optimisation
Versatile optimization of UDF-heavy data flows with sofa (AR, MB, AK, AH, TS, UL), pp. 685–688.
SIGMODSIGMOD-2014-ShiCDO #ad hoc #towards
Towards unified ad-hoc data processing (XS, BC, GD, BCO), pp. 1263–1274.
SIGMODSIGMOD-2014-SolimanAREGSCGRPWNKB #architecture #big data #composition #named #query
Orca: a modular query optimizer architecture for big data (MAS, LA, VR, AEH, ZG, ES, GCC, CGA, FR, MP, FW, SN, KK, RB), pp. 337–348.
SIGMODSIGMOD-2014-SunFKX #clustering #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
SIGMODSIGMOD-2014-TaharaDA #multi #named #sql
Sinew: a SQL system for multi-structured data (DT, TD, DJA), pp. 815–826.
SIGMODSIGMOD-2014-TranNST #approach #clustering #named
JECB: a join-extension, code-based approach to OLTP data partitioning (KQT, JFN, BS, DT), pp. 39–50.
SIGMODSIGMOD-2014-WangKFGKM #framework #performance #query
A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
SIGMODSIGMOD-2014-WangT #program repair #towards
Towards dependable data repairing with fixing rules (JW, NT), pp. 457–468.
SIGMODSIGMOD-2014-WesleyT
Leveraging compression in the tableau data engine (RMGW, PT), pp. 563–573.
SIGMODSIGMOD-2014-WongKCLY #database #query
Secure query processing with data interoperability in a cloud database environment (WKW, BK, DWLC, RL, SMY), pp. 1395–1406.
SIGMODSIGMOD-2014-XiongHN #approach #distributed #network #performance #query
A software-defined networking based approach for performance management of analytical queries on distributed data stores (PX, HH, JFN), pp. 955–966.
SIGMODSIGMOD-2014-XuKM #framework #multi #nondeterminism #performance #summary
Efficient summarization framework for multi-attribute uncertain data (JX, DVK, SM), pp. 421–432.
SIGMODSIGMOD-2014-YamamotoIF #approximate #data type #mining
Resource-oriented approximation for frequent itemset mining from bursty data streams (YY, KI, SF), pp. 205–216.
SIGMODSIGMOD-2014-YangTLRMG #named #realtime
Druid: a real-time analytical data store (FY, ET, XL, NR, GM, DG), pp. 157–168.
SIGMODSIGMOD-2014-ZhangCPSX #named #network
PrivBayes: private data release via bayesian networks (JZ, GC, CMP, DS, XX), pp. 1423–1434.
SIGMODSIGMOD-2014-ZhangYFLY #named #realtime #scalability
OceanRT: real-time analytics over large temporal data (SZ, YY, WF, LL, MY), pp. 1099–1102.
SIGMODSIGMOD-2014-ZhuSL0Z
Matching heterogeneous event data (XZ, SS, XL, JW, LZ), pp. 1211–1222.
SIGMODSIGMOD-2014-ZouHWYHZ #approach #data-driven #graph #natural language #rdf
Natural language question answering over RDF: a graph data driven approach (LZ, RH, HW, JXY, WH, DZ), pp. 313–324.
SIGMODSIGMOD-2014-ZoumpatianosIP #big data #interactive
Indexing for interactive exploration of big data series (KZ, SI, TP), pp. 1555–1566.
VLDBVLDB-2014-AnciauxBDIKMP #named
Folk-IS: Opportunistic Data Services in Least Developed Countries (NA, LB, TD, SI, LK, NM, PP), pp. 425–428.
VLDBVLDB-2014-ArenasDFKS #approach #graph
A Principled Approach to Bridging the Gap between Graph Data and their Schemas (MA, GID, AF, AK, KS), pp. 601–612.
VLDBVLDB-2014-BenediktLT #named #query
PDQ: Proof-driven Query Answering over Web-based Data (MB, JL, ET), pp. 1553–1556.
VLDBVLDB-2014-BressHSKMS #hardware #named
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware (SB, MH, MS, BK, VM, GS), pp. 1609–1612.
VLDBVLDB-2014-CaoWR #big data #data type #interactive
Interactive Outlier Exploration in Big Data Streams (LC, QW, EAR), pp. 1621–1624.
VLDBVLDB-2014-DeutchMT #analysis #framework #process
A Provenance Framework for Data-Dependent Process Analysis (DD, YM, VT), pp. 457–468.
VLDBVLDB-2014-DongGHHMSZ #data fusion
From Data Fusion to Knowledge Fusion (XLD, EG, GH, WH, KM, SS, WZ), pp. 881–892.
VLDBVLDB-2014-Duggan #data-driven
The Case for Personal Data-Driven Decision Making (JD), pp. 943–946.
VLDBVLDB-2014-EldawyLL #database
Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database (AE, JJL, PÅL), pp. 931–942.
VLDBVLDB-2014-FloratouBPL #design #towards
Towards Building Wind Tunnels for Data Center Design (AF, FB, JMP, GL), pp. 781–784.
VLDBVLDB-2014-FuOPZ #component #declarative #javascript #named #using
FORWARD: Data-Centric UIs using Declarative Templates that Efficiently Wrap Third-Party JavaScript Components (YF, KWO, YP, EZ), pp. 1649–1652.
VLDBVLDB-2014-GankidiTPHD
Indexing HDFS Data in PDW: Splitting the data from the index (VRG, NT, JMP, AH, DJD), pp. 1520–1528.
VLDBVLDB-2014-GhashamiPL #approximate #distributed #matrix
Continuous Matrix Approximation on Distributed Data (MG, JMP, FL), pp. 809–820.
VLDBVLDB-2014-GoncalvesP #named #nondeterminism
Υ-DB: Managing scientific hypotheses as uncertain data (BG, FP), pp. 959–962.
VLDBVLDB-2014-GuptaYGKCLWDKABHCSJSGVA #named #realtime #scalability
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-HassanSWZLYY #automation #monitoring
Data In, Fact Out: Automated Monitoring of Facts by FactWatcher (NH, AS, YW, GZ, CL, JY, CY), pp. 1557–1560.
VLDBVLDB-2014-He #approximate #challenge #data transformation #hardware
When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities (BH), pp. 877–880.
VLDBVLDB-2014-JacobKS #analysis
A System for Management and Analysis of Preference Data (MJ, BK, JS), pp. 1255–1258.
VLDBVLDB-2014-Jiang0OTW #big data #named #scalability
epiC: an Extensible and Scalable System for Processing Big Data (DJ, GC, BCO, KLT, SW), pp. 541–552.
VLDBVLDB-2014-JugelJM #named #visualisation
M4: A Visualization-Oriented Time Series Data Aggregation (UJ, ZJ, GH, VM), pp. 797–808.
VLDBVLDB-2014-KarpathiotakisBAA #adaptation #query
Adaptive Query Processing on RAW Data (MK, MB, IA, AA), pp. 1119–1130.
VLDBVLDB-2014-KonstantinidisA #constraints #integration #optimisation #scalability
Optimizing the Chase: Scalable Data Integration under Constraints (GK, JLA), pp. 1869–1880.
VLDBVLDB-2014-LeeABCDHI0LLMMPQRSSSZ
Joins on Encoded and Partitioned Data (JGL, GKA, RB, NC, OD, FH, SI, MSK, SL, GML, KM, KM, IP, LQ, VR, VKS, RS, KS, LZ), pp. 1355–1366.
VLDBVLDB-2014-LeiZRE #big data #framework #query
Redoop Infrastructure for Recurring Big Data Queries (CL, ZZ, EAR, MYE), pp. 1589–1592.
VLDBVLDB-2014-LiagourisMBT #effectiveness #encoding #rdf
An Effective Encoding Scheme for Spatial RDF Data (JL, NM, PB, MT), pp. 1271–1282.
VLDBVLDB-2014-LiHMW #algorithm #difference #privacy #query
A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy (CL, MH, GM, YW), pp. 341–352.
VLDBVLDB-2014-LiLZ #big data #challenge #enterprise
Enterprise Search in the Big Data Era: Recent Developments and Open Challenges (YL, ZL, HZ), pp. 1717–1718.
VLDBVLDB-2014-LinK #on the #query
On Arbitrage-free Pricing for General Data Queries (BRL, DK), pp. 757–768.
VLDBVLDB-2014-LiP #named
WideTable: An Accelerator for Analytical Data Processing (YL, JMP), pp. 907–918.
VLDBVLDB-2014-LiXZJ #named #privacy
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing (HL, LX, LZ, XJ), pp. 1677–1680.
VLDBVLDB-2014-Markl #big data #data analysis #declarative #independence
Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era (VM), pp. 1730–1733.
VLDBVLDB-2014-MortonBGM #challenge
Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems (KM, MB, DG, JDM), pp. 453–456.
VLDBVLDB-2014-PetermannJMR #graph #integration
Graph-based Data Integration and Business Intelligence with BIIIG (AP, MJ, RM, ER), pp. 1577–1580.
VLDBVLDB-2014-PoessRC #benchmark #industrial #integration #metric #named
TPC-DI: The First Industry Benchmark for Data Integration (MP, TR, BC), pp. 1367–1378.
VLDBVLDB-2014-ProserpioGM #data analysis
Calibrating Data to Sensitivity in Private Data Analysis (DP, SG, FM), pp. 637–648.
VLDBVLDB-2014-SimmenSDHLMSTX #big data #graph #scalability
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-SuchanekW #big data #data analysis #knowledge base
Knowledge Bases in the Age of Big Data Analytics (FMS, GW), pp. 1713–1714.
VLDBVLDB-2014-SunKXF #clustering #framework
A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
VLDBVLDB-2014-SuSGOS #big data #java
Changing Engines in Midstream: A Java Stream Computational Model for Big Data Processing (XS, GS, BG, BO, PS), pp. 1343–1354.
VLDBVLDB-2014-SuZZHZ #named
STMaker — A System to Make Sense of Trajectory Data (HS, KZ, KZ, JH, XZ), pp. 1701–1704.
VLDBVLDB-2014-WangKLW #multi #named
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data (QW, MK, CL, RCWW), pp. 1645–1648.
VLDBVLDB-2014-WangMO #lightweight
Lightweight Indexing of Observational Data in Log-Structured Storage (SW, DM, BCO), pp. 529–540.
VLDBVLDB-2014-WuBM #visualisation
The Case for Data Visualization Management Systems (EW, LB, SRM), pp. 903–906.
VLDBVLDB-2014-WuC0SCB #big data #named
yzBigData: Provisioning Customizable Solution for Big Data (SW, GC, KC, LS, HC, HB), pp. 1778–1783.
VLDBVLDB-2014-WuLLH #mining
MoveMine 2.0: Mining Object Relationships from Movement Data (FW, TKHL, ZL, JH), pp. 1613–1616.
VLDBVLDB-2014-XiaLYMQ #benchmark #metric #named #query #social #social media
BSMA: A Benchmark for Analytical Queries over Social Media Data (FX, YL, CY, HM, WQ), pp. 1573–1576.
VLDBVLDB-2014-XiongH #distributed #named #network #performance #query
Pronto: A Software-Defined Networking based System for Performance Management of Analytical Queries on Distributed Data Stores (PX, HH), pp. 1661–1664.
VLDBVLDB-2014-YanCZ #bound
Error-bounded Sampling for Analytics on Big Sparse Data (YY, LJC, ZZ), pp. 1508–1519.
VLDBVLDB-2014-YuanDZLNHWDY #distributed #mobile #named #scalability
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-YuYWLC #big data #classification #design #detection #power management
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes (MCY, TY, SCW, CJL, EYC), pp. 1429–1440.
VLDBVLDB-2014-ZhangJSR #big data #recommendation #using
Getting Your Big Data Priorities Straight: A Demonstration of Priority-based QoS using Social-network-driven Stock Recommendation (RZ, RJ, PS, LR), pp. 1665–1668.
VLDBVLDB-2014-ZhangTCO #analysis #data transformation #in memory #performance
Efficient In-memory Data Management: An Analysis (HZ, BMT, GC, BCO), pp. 833–836.
VLDBVLDB-2014-ZhangYFW #design #implementation #interactive #realtime #scalability
Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data (SZ, YY, WF, MW), pp. 1754–1759.
VLDBVLDB-2014-ZhengBST #fuzzy #named
MESA: A Map Service to Support Fuzzy Type-ahead Search over Geo-Textual Data (YZ, ZB, LS, AKHT), pp. 1545–1548.
VLDBVLDB-2015-AlexeRT14 #integration
Preference-aware Integration of Temporal Data (BA, MR, WCT), pp. 365–376.
VLDBVLDB-2015-DallachiesaPI14 #nearest neighbour #nondeterminism
Top-k Nearest Neighbor Search In Uncertain Data Series (MD, TP, IFI), pp. 13–24.
VLDBVLDB-2015-GraefeVKKTLV14 #big data #in memory #performance
In-Memory Performance for Big Data (GG, HV, HK, HAK, JT, ML, ACV), pp. 37–48.
VLDBVLDB-2015-LiLGSZDFH14 #approach
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (QL, YL, JG, LS, BZ, MD, WF, JH), pp. 425–436.
VLDBVLDB-2015-WangZZLW14 #correlation #estimation #streaming #using
Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations (XW, YZ, WZ, XL, WW), pp. 101–112.
ITiCSEITiCSE-2014-Marttila-KontioKH #data analysis #education #student
Advanced data analytics education for students and companies (MMK, MK, VH), pp. 249–254.
ESOPESOP-2014-BenzakenCD #coq #formal method #relational
A Coq Formalization of the Relational Data Model (VB, EC, SD), pp. 189–208.
FASEFASE-2014-CavalcantiG #data flow #testing
Data Flow Coverage for Circus-Based Testing (AC, MCG), pp. 415–429.
SANERCSMR-WCRE-2014-GoeminneDM #co-evolution #data-driven
Co-evolving code-related and database-related changes in a data-intensive software system (MG, AD, TM), pp. 353–357.
ICPCICPC-2014-MaruyamaOH #comprehension #visualisation
A visualization tool recording historical data of program comprehension tasks (KM, TO, SH), pp. 207–211.
ICPCICPC-2014-White #data type #identification #named
dsOli: data structure operation location and identification (DHW), pp. 48–52.
ICSMEICSME-2014-SvajlenkoIKRM #benchmark #big data #metric #towards
Towards a Big Data Curated Benchmark of Inter-project Code Clones (JS, JFI, IK, CKR, MMM), pp. 476–480.
ICSMEICSME-2014-ZhouTGG #classification #data mining #debugging #mining
Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.
MSRMSR-2014-AndersonSD #effectiveness #mining #testing
Improving the effectiveness of test suite through mining historical data (JA, SS, HD), pp. 142–151.
MSRMSR-2014-BaldassariP #comprehension #evolution #set
Understanding software evolution: the maisqual ant data set (BB, PP), pp. 424–427.
MSRMSR-2014-GousiosVSZ #agile #git
Lean GHTorrent: GitHub data on demand (GG, BV, AS, AZ), pp. 384–387.
MSRMSR-2014-MertenMBP #natural language #semistructured data
Classifying unstructured data into natural language text and technical information (TM, BM, SB, BP), pp. 300–303.
MSRMSR-2014-Mockus #mining #repository
Is mining software repositories data science? (keynote) (AM), p. 1.
PLDIPLDI-2014-AlglaveMT #memory management #modelling #simulation #testing
Herding cats: modelling, simulation, testing, and data-mining for weak memory (JA, LM, MT), p. 7.
PLDIPLDI-2014-LeG #framework #named
FlashExtract: a framework for data extraction by examples (VL, SG), p. 55.
PLDIPLDI-2014-PekQM #c #data type #logic #proving #using
Natural proofs for data structure manipulation in C using separation logic (EP, XQ, PM), p. 46.
PLDIPLDI-2014-StockKGPRRS #framework #order #reuse
A framework for enhancing data reuse via associative reordering (KS, MK, TG, LNP, FR, JR, PS), p. 10.
PLDIPLDI-2014-SurendranRCMS #parallel #source code #testing
Test-driven repair of data races in structured parallel programs (RS, RR, SC, JMMC, VS), p. 3.
STOCSTOC-2014-Goodrich #algorithm #sorting
Zig-zag sort: a simple deterministic data-oblivious sorting algorithm running in O(n log n) time (MTG), pp. 684–693.
FLOPSFLOPS-2014-ClaessenDP #generative #random
Generating Constrained Random Data with Uniform Distribution (KC, JD, MHP), pp. 18–34.
DLTDLT-J-2013-TanV14 #graph #query #regular expression
Regular Expressions for Querying Data graphs (TT, DV), pp. 971–986.
AFLAFL-2014-CarapelleFGQ13 #game studies #word
Ehrenfeucht-Fraisse Games for TPTL and MTL over Non-monotonic Data Words (CC, SF, OFG, KQ), pp. 174–187.
ICALPICALP-v1-2014-CanonneR #probability #testing
Testing Probability Distributions Underlying Aggregated Data (CLC, RR), pp. 283–295.
ICALPICALP-v1-2014-ReingoldRW #data type #graph #pseudo
Pseudorandom Graphs in Data Structures (OR, RDR, UW), pp. 943–954.
ICALPICALP-v1-2014-WangY #data type
Certificates in Data Structures (YW, YY), pp. 1039–1050.
ICALPICALP-v2-2014-ChalopinJMW #energy #mobile
Data Delivery by Energy-Constrained Mobile Agents on a Line (JC, RJ, MM, PW), pp. 423–434.
LATALATA-2014-CarapelleFGQ #satisfiability #word
Satisfiability for MTL and TPTL over Non-monotonic Data Words (CC, SF, OFG, KQ), pp. 248–259.
LATALATA-2014-LiPT #probability #process #simulation
Probabilistic Simulation for Probabilistic Data-Aware Business Processes (HL, FP, FT), pp. 503–515.
FMFM-2014-ButinM #analysis
Log Analysis for Data Protection Accountability (DB, DLM), pp. 163–178.
IFMIFM-2014-CalvaneseKSVZ #analysis #data type
Shape and Content — A Database-Theoretic Perspective on the Analysis of Data Structures (DC, TK, MS, HV, FZ), pp. 3–17.
IFMIFM-2014-LaibinisBPTTP #in the cloud #modelling #simulation
Integrating Event-B Modelling and Discrete-Event Simulation to Analyse Resilience of Data Stores in the Cloud (LL, BB, IP, ET, KET, IP), pp. 103–119.
SEFMSEFM-2014-GrovO #analysis #consistency #formal method #multi
Increasing Consistency in Multi-site Data Stores: Megastore-CGC and Its Formal Analysis (JG, PCÖ), pp. 159–174.
ICFPICFP-2014-ChenAT #functional #programming #scalability #self
Functional programming for dynamic and large data with self-adjusting computation (YC, UAA, KT), pp. 227–240.
ICFPICFP-2014-MarlowBCP #abstraction #concurrent #data access #performance
There is no fork: an abstraction for efficient, concurrent, and concise data access (SM, LB, JC, JP), pp. 325–337.
IFLIFL-2014-KoopmanPJ #data type #encoding #functional #harmful #implementation
Church Encoding of Data Types Considered Harmful for Implementations: Functional Pearl (PWMK, RP, JMJ), p. 4.
CHICHI-2014-BrubakerDGKH #legacy
Stewarding a legacy: responsibilities and relationships in the management of post-mortem data (JRB, LD, AMG, NK, GRH), pp. 4157–4166.
CHICHI-2014-ChiltonKACLWDMZ #collaboration #data transformation #named
Frenzy: collaborative data organization for creating conference sessions (LBC, JK, PA, FC, JAL, DSW, SPD, RCM, HZ), pp. 1255–1264.
CHICHI-2014-ChoeLLPK #comprehension
Understanding quantified-selfers’ practices in collecting and exploring personal data (EKC, NBL, BL, WP, JAK), pp. 1143–1152.
CHICHI-2014-GlueckKW #exclamation #navigation #realtime #visualisation
Dive in!: enabling progressive loading for real-time navigation of data visualizations (MG, AK, DJW), pp. 561–570.
CHICHI-2014-LuiKAQS #simulation
Supporting learners in collecting and exploring data from immersive simulations in collective inquiry (ML, ACK, AA, CQ, JDS), pp. 2103–2112.
CHICHI-2014-RzeszotarskiK #multi #named #visualisation
Kinetica: naturalistic multi-touch data visualization (JMR, AK), pp. 897–906.
CHICHI-2014-ShelleyLMDSS #data analysis #design #student
Information-building applications: designing for data exploration and analysis by elementary school students (TS, LL, TM, CD, BLS, AS), pp. 2123–2132.
CHICHI-2014-SoloveyZPRM #performance #using
Classifying driver workload using physiological and driving performance data: two field studies (ETS, MZ, EAGP, BR, BM), pp. 4057–4066.
CHICHI-2014-TanLS #case study #experience #game studies #video
Combining think-aloud and physiological data to understand video game experiences (CTT, TWL, SS), pp. 381–390.
CHICHI-2014-YurutenZP #mobile #predict #process
Predictors of life satisfaction based on daily activities from mobile sensor data (OY, JZ, PHZP), pp. 497–500.
CHICHI-2014-ZaczynskiW #design #game studies #guidelines #interactive
Establishing design guidelines in interactive exercise gaming: preliminary data from two posing studies (MZ, ADW), pp. 1875–1884.
CSCWCSCW-2014-AndreKD #category theory #clustering #synthesis
Crowd synthesis: extracting categories and clusters from complex data (PA, AK, SPD), pp. 989–998.
CSCWCSCW-2014-ChoudhuryCHH #facebook #predict
Characterizing and predicting postpartum depression from shared facebook data (MDC, SC, EH, AH), pp. 626–638.
CSCWCSCW-2014-JohriS #framework
The role of data in aligning the “unique identity” infrastructure in India (AJ, JS), pp. 697–709.
CSCWCSCW-2014-SheppardWT #monitoring #quality #volunteer
Capturing quality: retaining provenance for curated volunteer monitoring data (SAS, AW, LGT), pp. 1234–1245.
HCIDUXU-DI-2014-AlomariM #towards
Towards Data Confidentiality and Portability in Cloud Storage (EAA, MMM), pp. 38–49.
HCIDUXU-DI-2014-Bockermann #approach #big data #data analysis #programming #visual notation
A Visual Programming Approach to Big Data Analytics (CB), pp. 393–404.
HCIDUXU-DI-2014-Davis #design #image #interactive #query #retrieval
Interfacing CBIR: Designing Interactive Widgets to Query Attribute Data in Face Image Retrieval (TD), pp. 425–434.
HCIDUXU-DP-2014-FarnsworthHHP #data-driven
Cool in Business: Developing a Data-Based Instrument Measuring “Cool” (CF, KH, TH, SP), pp. 232–243.
HCIDUXU-ELAS-2014-Cossio #case study #experience
Transforming Data into Information Experiences (MGdC), pp. 411–422.
HCIHCI-AIMT-2014-ReddyC #artificial reality #process #recognition #using
Human Activity Recognition from Kinect Captured Data Using Stick Model (VRR, TC), pp. 305–315.
HCIHCI-AIMT-2014-RoyC #artificial reality #detection #invariant #markov #using
View-Invariant Human Detection from RGB-D Data of Kinect Using Continuous Hidden Markov Model (SR, TC), pp. 325–336.
HCIHCI-AS-2014-Hussain #data mining #mining
Getting the Most from CRM Systems: Data Mining in SugarCRM, Finding Important Patterns (QH), pp. 693–699.
HCIHCI-AS-2014-LeeYJ #predict #using
Data Preloading Technique using Intention Prediction (SL, JY, DYJ), pp. 32–41.
HCIHCI-TMT-2014-AssilaOE #approach #evaluation #human-computer #integration #quality #towards
Towards Qualitative and Quantitative Data Integration Approach for Enhancing HCI Quality Evaluation (AA, KMdO, HE), pp. 469–480.
HCIHCI-TMT-2014-BotegaBAN #data fusion #interactive
A Model to Promote Interaction between Humans and Data Fusion Intelligence to Enhance Situational Awareness (LCB, CBB, RBdA, VPdAN), pp. 399–410.
HCIHCI-TMT-2014-SousaB #recommendation #statistics
Recommender System to Support Chart Constructions with Statistical Data (TAFdS, SDJB), pp. 631–642.
HCIHIMI-AS-2014-Coelho #analysis
Association of CCR and BCC Efficiencies to Market Variables in a Retrospective Two Stage Data Envelope Analysis (DAC), pp. 151–159.
HCIHIMI-AS-2014-PandeyS #case study #data-driven #enterprise #user interface
Data Driven Enterprise UX: A Case Study of Enterprise Management Systems (SP, SS), pp. 205–216.
HCIHIMI-AS-2014-VolpiIPOM #open data #visualisation
Roma Crash Map: An Open Data Visualization Tool for the Municipalities of Rome (VV, AI, MP, AO, CMM), pp. 284–295.
HCIHIMI-DE-2014-BoscarioliVTR #clustering #human-computer #tool support
Analyzing HCI Issues in Data Clustering Tools (CB, JV, MFT, VHR), pp. 22–33.
HCIHIMI-DE-2014-MatsuyamaNKYI #crowdsourcing #development #mobile
Development of a Mobile Application for Crowdsourcing the Data Collection of Environmental Sounds (MM, RN, HK, JY, TI), pp. 514–524.
HCIHIMI-DE-2014-TavaresB #interactive #user interface #visualisation
A Step Beyond Visualization: Applying User Interface Techniques to Improve Satellite Data Interaction (TAT, HB), pp. 98–107.
HCIHIMI-DE-2014-XingGRK #visualisation
Google Analytics Spatial Data Visualization: Thinking Outside of the Box (WX, RG, BR, TRK), pp. 120–127.
HCILCT-TRE-2014-MorrealeGCHLLSB #design #integration #mobile #visual notation
Visual and Spatial Data Integration in Mobile Application Design (PM, AG, DC, SH, JL, NL, CS, JB), pp. 173–181.
HCISCSM-2014-Ahangama #detection #realtime #social #social media #twitter
Use of Twitter Stream Data for Trend Detection of Various Social Media Sites in Real Time (SA), pp. 151–159.
HCISCSM-2014-LeonardoFGPSSUWC #identification #social #social media #trust
Identifying Locations of Social Significance: Aggregating Social Media Content to Create a New Trust Model for Exploring Crowd Sourced Data and Information (ADL, SF, AG, FP, WS, TS, AU, DW, JBC), pp. 170–177.
CAiSECAiSE-2014-0001PBKLSFW #automation #process
Automating Data Exchange in Process Choreographies (AM, LP, KB, SK, TL, TS, DF, MW), pp. 316–331.
CAiSECAiSE-2014-KalamatianosK #independence #reduction #streaming
Schema Independent Reduction of Streaming Log Data (TK, KK), pp. 394–408.
EDOCEDOC-2014-Aalst #enterprise #mining #process
Process Mining as the Superglue Between Data Science and Enterprise Computing (WMPvdA), p. 1.
EDOCEDOC-2014-GrogerSM #integration
The Deep Data Warehouse: Link-Based Integration and Enrichment of Warehouse Data and Unstructured Content (CG, HS, BM), pp. 210–217.
EDOCEDOC-2014-Ludwig #big data #effectiveness #perspective
Managing Big Data Effectively — A Cloud Provider and a Cloud Consumer Perspective (HL), p. 91.
EDOCEDOC-2014-MukkamalaHV #analysis #sentiment #social
Fuzzy-Set Based Sentiment Analysis of Big Social Data (RRM, AH, RKV), pp. 71–80.
EDOCEDOC-2014-Pufahl0W #process
Batch Regions: Process Instance Synchronization Based on Data (LP, AM, MW), pp. 150–159.
EDOCEDOC-2014-SchutzS #modelling
Customization of Domain-Specific Reference Models for Data Warehouses (CGS, MS), pp. 61–70.
EDOCEDOC-2014-VenebergISB #architecture #enterprise
Enterprise Architecture Intelligence: Combining Enterprise Architecture and Operational Data (RKMV, MEI, MvS, LB), pp. 22–31.
ICEISICEIS-v1-2014-AmaralCRGTS #approach #data mining #framework #image #mining
The SITSMining Framework — A Data Mining Approach for Satellite Image Time Series (BFA, DYTC, LASR, RRdVG, AJMT, EPMdS), pp. 225–232.
ICEISICEIS-v1-2014-AntunesS #data mining #mining #roadmap
New Trends in Knowledge Driven Data Mining (CA, AS), pp. 346–351.
ICEISICEIS-v1-2014-CaetanoLC #approach #case study #data-driven #predict
A Data-driven Approach to Predict Hospital Length of Stay — A Portuguese Case Study (NC, RMSL, PC), pp. 407–414.
ICEISICEIS-v1-2014-DominguezAERLE #data mining #fuzzy #logic #mining #roadmap #using
Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques (MD, JA, JGE, IMR, JMLS, MJE), pp. 325–330.
ICEISICEIS-v1-2014-GuerineRP #data mining #metaheuristic #mining
Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain (MG, IR, AP), pp. 395–406.
ICEISICEIS-v1-2014-HayashiK #evaluation
Evaluation of Exclusive Data Allocation Between SSD Tier and SSD Cache in Storage Systems (SH, NK), pp. 144–151.
ICEISICEIS-v1-2014-KozievitchHNT #data fusion #image #retrieval
Exploring Data Fusion under the Image Retrieval Domain (NPK, CSH, JN, RdST), pp. 171–178.
ICEISICEIS-v1-2014-Lenz #detection
Data Fraud Detection (HJL), p. XV.
ICEISICEIS-v1-2014-LettnerZ #data analysis #framework #industrial #product line
A Data Analysis Framework for High-variety Product Lines in the Industrial Manufacturing Domain (CL, MZ), pp. 209–216.
ICEISICEIS-v1-2014-OliveiraB #independence #process #specification #towards
ETL Patterns on YAWL — Towards to the Specification of Platform-independent Data Warehousing Populating Processes (BCdSO, OB), pp. 299–307.
ICEISICEIS-v1-2014-PequenoG #integration #relational #specification
Specifying Complex Correspondences Between Relational Schemas in a Data Integration Environment (VMP, HG), pp. 18–29.
ICEISICEIS-v1-2014-PfaffK #benchmark #distributed #integration #metric #ontology #semantics #towards
Semantic Integration of Semi-Structured Distributed Data in the Domain of IT Benchmarking — Towards a Domain Specific Ontology (MP, HK), pp. 320–324.
ICEISICEIS-v1-2014-SilvaLS #clustering #integration #maintenance #semantics
A Proposal to Maintain the Semantic Balance in Cluster-based Data Integration Systems (ERdS, BFL, ACS), pp. 90–98.
ICEISICEIS-v1-2014-SilvaNMFMM #algorithm #detection #distributed #performance #pipes and filters #using
Efficient and Distributed DBScan Algorithm Using MapReduce to Detect Density Areas on Traffic Data (TLCdS, ACAN, RPM, VAEdF, JAFdM, JCM), pp. 52–59.
ICEISICEIS-v2-2014-GamaL #as a service #ecosystem #open data #towards
Towards Ecosystems based on Open Data as a Service (KG, BFL), pp. 659–664.
ICEISICEIS-v2-2014-GomesCLL #crawling #linked data #metadata #open data
A Metadata Focused Crawler for Linked Data (RdVAG, MAC, GRL, LAPPL), pp. 489–500.
ICEISICEIS-v2-2014-Hauer #state of the art
Data Leakage Prevention — A Position to State-of-the-Art Capabilities and Remaining Risk (BH), pp. 361–367.
ICEISICEIS-v2-2014-LiuDT #network #reliability
Auditing Data Reliability in International Logistics — An Application of Bayesian Networks (LL, HAMD, RT), pp. 707–712.
ICEISICEIS-v2-2014-SamejimaMK #flexibility #resource management
Flexible Peak Shaving in Data Center by Suppression of Application Resource Usage (MS, HTM, NK), pp. 355–360.
ICEISICEIS-v2-2014-ShamsuzzohaAKH #collaboration #internet #monitoring #process #realtime #repository
Smart Collaborative Processes Monitoring in Real-time Business Environment — Applications of Internet of Things and Cloud-data Repository (AS, SA, SK, PTH), pp. 556–563.
ICEISICEIS-v2-2014-ThorntonCPHM #detection #health
Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data (DT, GvC, MP, JvH, RMM), pp. 684–694.
ICEISICEIS-v3-2014-BoissierKWP #data transformation #enterprise
An Integrated Data Management for Enterprise Systems (MB, JK, JW, HP), pp. 410–418.
CIKMCIKM-2014-ArenasGKMZ #rdf
Faceted Search over Ontology-Enhanced RDF Data (MA, BCG, EK, SM, DZ), pp. 939–948.
CIKMCIKM-2014-BoghCSA #data type #named
Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression (KSB, SC, DS, IA), pp. 1767–1770.
CIKMCIKM-2014-ChatzistergiouV #clustering #data type #heuristic #performance
Fast Heuristics for Near-Optimal Task Allocation in Data Stream Processing over Clusters (AC, SDV), pp. 1579–1588.
CIKMCIKM-2014-ChenC #data type #incremental #matrix #named
GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams (XC, KSC), pp. 1119–1128.
CIKMCIKM-2014-DongLW #as a service #named #privacy
PraDa: Privacy-preserving Data-Deduplication-as-a-Service (BD, RL, WHW), pp. 1559–1568.
CIKMCIKM-2014-GressD #flexibility #framework #semistructured data
A Flexible Framework for Projecting Heterogeneous Data (AG, ID), pp. 1169–1178.
CIKMCIKM-2014-HsiehL #mining
Mining and Planning Time-aware Routes from Check-in Data (HPH, CTL), pp. 481–490.
CIKMCIKM-2014-KalyanakrishnanSK #on the #online #scalability
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (SK, DS, RK), pp. 669–678.
CIKMCIKM-2014-KangLSSK #coordination #distributed #probability
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression (DK, WL, KS, LS, UK), pp. 1269–1278.
CIKMCIKM-2014-LimCK #data type #performance
Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams (YL, JC, UK), pp. 1109–1118.
CIKMCIKM-2014-LiSWZJTLZZLTL #mining #named
iMiner: Mining Inventory Data for Intelligent Management (LL, CS, LW, LZ, YJ, LT, HL, LZ, CZ, TL, JT, DL), pp. 2057–2059.
CIKMCIKM-2014-MassS #graph #information management #keyword
Knowledge Management for Keyword Search over Data Graphs (YM, YS), pp. 2051–2053.
CIKMCIKM-2014-MeuselMB #crawling
Focused Crawling for Structured Data (RM, PM, RB), pp. 1039–1048.
CIKMCIKM-2014-QianZ #clustering #feature model #multi #web
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKMCIKM-2014-QinSFSC #internet #linked data #open data #performance #towards
Towards Efficient Dissemination of Linked Data in the Internet of Things (YQ, QZS, NJGF, AS, EC), pp. 1779–1782.
CIKMCIKM-2014-QinSFZW #3d #linked data #open data
Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves (YQ, QZS, NJGF, WEZ, HW), pp. 1775–1778.
CIKMCIKM-2014-ShangLCC #analysis #component #robust
Robust Principal Component Analysis with Missing Data (FS, YL, JC, HC), pp. 1149–1158.
CIKMCIKM-2014-SongG #difference #named #privacy #query
Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering (CS, TG), pp. 1569–1578.
CIKMCIKM-2014-TangHCL #interactive #predict
Predictability of Distrust with Interaction Data (JT, XH, YC, HL), pp. 181–190.
CIKMCIKM-2014-TangWPTL #approach #detection
An Appliance-Driven Approach to Detection of Corrupted Load Curve Data (GT, KW, JP, JT, JL), pp. 1429–1438.
CIKMCIKM-2014-VinzamuriLR #learning
Active Learning based Survival Regression for Censored Data (BV, YL, CKR), pp. 241–250.
CIKMCIKM-2014-WangGL #modelling #personalisation #recommendation #transaction
Modeling Retail Transaction Data for Personalized Shopping Recommendation (PW, JG, YL), pp. 1979–1982.
CIKMCIKM-2014-WangLBLGZ #big data #named
Cleanix: A Big Data Cleaning Parfait (HW, ML, YB, JL, HG, JZ), pp. 2024–2026.
CIKMCIKM-2014-WangLLZZSY #linked data #open data
Faceted Exploring for Domain Knowledge over Linked Open Data (MW, JL, WL, QZ, WZ, LS, SY), pp. 2009–2011.
CIKMCIKM-2014-XuHCWHBA #framework #performance
A Demonstration of SearchonTS: An Efficient Pattern Search Framework for Time Series Data (XX, SH, YC, CW, IH, KB, MA), pp. 2015–2017.
CIKMCIKM-2014-YangTZ #learning #streaming
Active Learning for Streaming Networked Data (ZY, JT, YZ), pp. 1129–1138.
CIKMCIKM-2014-YuanWYC #big data #database #grid #scalability #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-ZhangP #graph #nondeterminism #scalability
Scalable Vaccine Distribution in Large Graphs given Uncertain Data (YZ, BAP), pp. 1719–1728.
CIKMCIKM-2014-ZhaoCN #approach #data type #probability
Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach (ZZ, JC, WN), pp. 1589–1598.
ECIRECIR-2014-AngeliniFSS #interactive #visual notation
A Visual Interactive Environment for Making Sense of Experimental Data (MA, NF, GS, GS), pp. 767–770.
ECIRECIR-2014-NarducciPS #named #retrieval #semantics
CroSeR: Cross-language Semantic Retrieval of Open Government Data (FN, MP, GS), pp. 793–797.
ECIRECIR-2014-Qian #topic #web
Text-Image Topic Discovery for Web News Data (MQ), pp. 675–680.
ECIRECIR-2014-SchallerHE #detection #smarttech
Detecting Event Visits in Urban Areas via Smartphone GPS Data (RS, MH, DE), pp. 681–686.
ECIRECIR-2014-VoskaridesOTWR #streaming
Query-Dependent Contextualization of Streaming Data (NV, DO, MT, WW, MdR), pp. 706–712.
ICMLICML-c1-2014-ChazalGLM #convergence #data analysis #diagrams #estimation #persistent
Convergence rates for persistence diagram estimation in Topological Data Analysis (FC, MG, CL, BM), pp. 163–171.
ICMLICML-c1-2014-LethamSS #transaction
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data (BL, WS, AS), pp. 217–225.
ICMLICML-c1-2014-RajkumarA #algorithm #convergence #rank #statistics
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data (AR, SA), pp. 118–126.
ICMLICML-c2-2014-AziziAG #composition #learning #network
Learning Modular Structures from Network Data and Node Variables (EA, EA, JEG), pp. 1440–1448.
ICMLICML-c2-2014-Chen0 #big data #learning #modelling #topic #using
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data (ZC, BL), pp. 703–711.
ICMLICML-c2-2014-DefazioDC #big data #incremental #named #performance #problem
Finito: A faster, permutable incremental gradient method for big data problems (AD, JD, TSC), pp. 1125–1133.
ICMLICML-c2-2014-GaboardiAHRW #query
Dual Query: Practical Private Query Release for High Dimensional Data (MG, EJGA, JH, AR, ZSW), pp. 1170–1178.
ICMLICML-c2-2014-Hernandez-LobatoHG14a #matrix #probability
Probabilistic Matrix Factorization with Non-random Missing Data (JMHL, NH, ZG), pp. 1512–1520.
ICMLICML-c2-2014-LindermanA #network #process
Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICMLICML-c2-2014-LiZ0 #learning #multi
Bayesian Max-margin Multi-Task Learning with Data Augmentation (CL, JZ, JC), pp. 415–423.
ICMLICML-c2-2014-WangWY #reduction #scalability
Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
ICMLICML-c2-2014-WangY #crowdsourcing
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data (NW, DYY), pp. 1107–1115.
ICMLICML-c2-2014-Yi0WJJ #algorithm #clustering
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (JY, LZ, JW, RJ, AKJ), pp. 658–666.
ICPRICPR-2014-AlmogahedK #game studies #named #using
NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory (BAA, IAK), pp. 1371–1376.
ICPRICPR-2014-BargiXP #adaptation #classification #infinity #learning #online #segmentation #streaming
An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data (AB, RYDX, MP), pp. 3440–3445.
ICPRICPR-2014-BougueliaBB #classification #data type #detection #novel #performance
Efficient Active Novel Class Detection for Data Stream Classification (MRB, YB, AB), pp. 2826–2831.
ICPRICPR-2014-ChandrasekharTMLLL #clustering #graph #incremental #performance #retrieval #streaming #video
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data (VC, CT, WM, LL, XL, JHL), pp. 2631–2636.
ICPRICPR-2014-ChaudhariM #clustering #matrix #semistructured data #symmetry #using
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization (SC, MNM), pp. 1431–1436.
ICPRICPR-2014-FrinkenIIFU #recognition
Improving Point of View Scene Recognition by Considering Textual Data (VF, YI, RI, KF, SU), pp. 2966–2971.
ICPRICPR-2014-FuscoEM #data analysis #locality #network
Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks (FF, BE, SM), pp. 3642–3647.
ICPRICPR-2014-GiordanoPS #estimation #kernel #modelling #using
Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling (DG, SP, CS), pp. 4388–4393.
ICPRICPR-2014-GubarevaSSLM #linear
Finding the Largest Hypercavity in a Linear Data Space (AG, VS, OS, AL, VM), pp. 4406–4410.
ICPRICPR-2014-HsiaoLH #3d #re-engineering
Super-resolution Reconstruction for Binocular 3D Data (WTH, JJL, HHH), pp. 4206–4211.
ICPRICPR-2014-KapsourasN #approach #recognition #using
Action Recognition in Motion Capture Data Using a Bag of Postures Approach (IK, NN), pp. 2649–2654.
ICPRICPR-2014-KimBKC #multi #online #people
MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes (SWK, MB, KK, JYC), pp. 1212–1217.
ICPRICPR-2014-KimPZGZB #bibliography #process #recognition #smarttech
Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data (YK, FCP, FZ, AG, PCZ, MEBA), pp. 432–437.
ICPRICPR-2014-LiaoQZ #data-driven #database #visualisation
Visualization of Hyperspectral Imaging Data Based on Manifold Alignment (DL, YQ, JZ), pp. 70–75.
ICPRICPR-2014-LitvinovL #incremental #modelling #visual notation
Incremental Solid Modeling from Sparse Structure-from-Motion Data with Improved Visual Artifacts Removal (VL, ML), pp. 2745–2750.
ICPRICPR-2014-NguyenGVP #framework #parametricity #process #recognition #using
A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data (TN, SKG, SV, DQP), pp. 2017–2022.
ICPRICPR-2014-NilssonAGF #detection #using
Pedestrian Detection Using Augmented Training Data (JN, PA, IYHG, JF), pp. 4548–4553.
ICPRICPR-2014-OHarneyMRCSCBF #kernel #learning #multi #pseudo
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data (ADO, AM, KR, KC, ABS, AC, CB, MF), pp. 3185–3190.
ICPRICPR-2014-OskarssonAT #graph #multi #scalability
Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, , AT), pp. 750–755.
ICPRICPR-2014-PerinaKB #array #classification #kernel #using
Expression Microarray Data Classification Using Counting Grids and Fisher Kernel (AP, MK, MB), pp. 1770–1775.
ICPRICPR-2014-PohjankukkaNPHHSH #recognition
Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data (JP, PN, TP, PH, EH, RS, JH), pp. 1822–1827.
ICPRICPR-2014-ShivramRG #case study #comparative #identification #modelling #online
Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models (AS, CR, VG), pp. 3121–3125.
ICPRICPR-2014-SousaSB #case study #classification #set
Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study (CARdS, VMAdS, GEAPAB), pp. 3780–3785.
ICPRICPR-2014-TaoIWS #approximate #data transformation #rank #representation
Ensemble Manifold Structured Low Rank Approximation for Data Representation (LT, HHSI, YW, XS), pp. 744–749.
ICPRICPR-2014-VellankiDVP #learning #parametricity
Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data (PV, TVD, SV, DQP), pp. 1828–1833.
ICPRICPR-2014-VilaltaGM #adaptation #classification
Domain Adaptation under Data Misalignment: An Application to Cepheid Variable Star Classification (RV, KDG, LM), pp. 3660–3665.
ICPRICPR-2014-WangZH #approach #data-driven #health #named
DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records (FW, JZ, JH), pp. 2763–2768.
ICPRICPR-2014-WuTS #3d #learning #rank
Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data (JW, RT, LGS), pp. 460–464.
ICPRICPR-2014-XieUKG #incremental #learning
Incremental Learning with Support Vector Data Description (WX, SU, SK, MG), pp. 3904–3909.
ICPRICPR-2014-YangN #integration #learning #multi
Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration (YY, SN), pp. 4062–4067.
ICPRICPR-2014-YoonYYK #realtime #visual notation
Real-Time Visual Target Tracking in RGB-D Data for Person-Following Robots (YY, WhY, HSY, JK), pp. 2227–2232.
ICPRICPR-2014-ZhaiSDJ #multi
Covariance-Based PCA for Multi-size Data (MZ, FS, DD, NJ), pp. 1603–1608.
ICPRICPR-2014-ZhaoF #algorithm #re-engineering #reduction
A Dictionary-Based Algorithm for Dimensionality Reduction and Data Reconstruction (ZZ, GF), pp. 1556–1561.
KDDKDD-2014-AnagnostopoulosT #big data #scalability
Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDDKDD-2014-BadanidiyuruMKK #on the fly #streaming #summary
Streaming submodular maximization: massive data summarization on the fly (AB, BM, AK, AK), pp. 671–680.
KDDKDD-2014-Chen0 #big data #documentation #mining #topic
Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.
KDDKDD-2014-ChenC #incremental #named #rank #set
LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets (XC, KSC), pp. 987–996.
KDDKDD-2014-ChenC14a #spreadsheet
Integrating spreadsheet data via accurate and low-effort extraction (ZC, MJC), pp. 1126–1135.
KDDKDD-2014-ChengB0 #approach #dependence #effectiveness #named
FBLG: a simple and effective approach for temporal dependence discovery from time series data (DC, MTB, YL), pp. 382–391.
KDDKDD-2014-Cohen #distance #performance #query
Distance queries from sampled data: accurate and efficient (EC), pp. 681–690.
KDDKDD-2014-Conway #lens #social
Data science through the lens of social science (DC), p. 1520.
KDDKDD-2014-CormodeD #big data #tutorial
Sampling for big data: a tutorial (GC, NGD), p. 1975.
KDDKDD-2014-Eagle #big data #social
Big data for social good (NE), p. 1522.
KDDKDD-2014-Etzioni #data mining #future of #mining
The battle for the future of data mining (OE), p. 1.
KDDKDD-2014-FengGBEHM #big data #database #experience #in memory #query
Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data (MF, MG, TB, JE, IH, RM), p. 1970.
KDDKDD-2014-GohR #learning
Box drawings for learning with imbalanced data (STG, CR), pp. 333–342.
KDDKDD-2014-GunnemannGF #detection #evolution #probability #rating #robust
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution (SG, NG, CF), pp. 841–850.
KDDKDD-2014-HeFKMP #category theory #clustering
Relevant overlapping subspace clusters on categorical data (XH, JF, BK, STM, CP), pp. 213–222.
KDDKDD-2014-HerodotouDBOF #locality #network #realtime #scalability
Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDDKDD-2014-Horvitz #people #predict
Data, predictions, and decisions in support of people and society (EH), p. 2.
KDDKDD-2014-LichmanS #kernel #modelling
Modeling human location data with mixtures of kernel densities (ML, PS), pp. 35–44.
KDDKDD-2014-LiuZXJ0 #categorisation #visualisation
Temporal skeletonization on sequential data: patterns, categorization, and visualization (CL, KZ, HX, GJ, QY), pp. 1336–1345.
KDDKDD-2014-Munro
Bringing data science to the speakers of every language (RM), p. 1523.
KDDKDD-2014-ParkG #algorithm #health #named #rank #re-engineering
LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data (YP, JG), pp. 55–64.
KDDKDD-2014-PolozovG #automation #named #web
LaSEWeb: automating search strategies over semi-structured web data (OP, SG), pp. 741–750.
KDDKDD-2014-Schadt #approach #data-driven
A data driven approach to diagnosing and treating disease (EES), p. 3.
KDDKDD-2014-ShaoAK #concept #data type #learning #prototype
Prototype-based learning on concept-drifting data streams (JS, ZA, SK), pp. 412–421.
KDDKDD-2014-TangL #probability #scalability
Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
KDDKDD-2014-TongCC #named #performance #topic
TCS: efficient topic discovery over crowd-oriented service data (YT, CCC, LC), pp. 861–870.
KDDKDD-2014-XiaoCT #network
Differentially private network data release via structural inference (QX, RC, KLT), pp. 911–920.
KDDKDD-2014-XuWCGSKDL #data mining #mining #network #social
Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (JX, TLW, NVC, EKG, KS, RPK, JMD, DML), pp. 1699–1708.
KDDKDD-2014-ZhengZLJXLSZLTLDLW #data mining #mining #optimisation #process
Applying data mining techniques to address critical process optimization needs in advanced manufacturing (LZ, CZ, LL, YJ, WX, JL, CS, WZ, HL, LT, TL, BD, ML, PW), pp. 1739–1748.
KDDKDD-2014-ZhouWHY #data-driven #metaprogramming
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records (JZ, FW, JH, JY), pp. 135–144.
KDDKDD-2014-ZufleESMZR #clustering #nondeterminism
Representative clustering of uncertain data (AZ, TE, KAS, NM, AZ, MR), pp. 243–252.
KDIRKDIR-2014-HubwieserM #education #mining #scalability #set
Competency Mining in Large Data Sets — Preparing Large Scale Investigations in Computer Science Education (PH, AM), pp. 315–322.
KDIRKDIR-2014-KurasEAH #data mining #mining #security
The GDR Through the Eyes of the Stasi — Data Mining on the Secret Reports of the State Security Service of the former German Democratic Republic (CK, TE, CA, GH), pp. 360–365.
KDIRKDIR-2014-LinDDG #data analysis
Data Analytics for Power Utility Storm Planning (LL, AD, DD, SSG), pp. 308–314.
KDIRKDIR-2014-MojahedI #approach #distance #semistructured data
A Fusion Approach to Computing Distance for Heterogeneous Data (AM, BdlI), pp. 269–276.
KDIRKDIR-2014-MorenoGV #data mining #mining #recognition #using #word
Violence Recognition in Spanish Words using Data Mining (AFM, SBGB, JGVR), pp. 210–216.
KDIRKDIR-2014-NebotL #linked data #open data #towards
Towards Analytical MD Stars from Linked Data (VN, RBL), pp. 117–125.
KDIRKDIR-2014-SatoNS #classification #kernel #using
A Simple Classification Method for Class Imbalanced Data using the Kernel Mean (YS, KN, AS), pp. 327–334.
KDIRKDIR-2014-TisserantRP #classification #mining #semantics #statistics #twitter
Mining Tweet Data — Statistic and Semantic Information for Political Tweet Classification (GT, MR, VP), pp. 523–529.
KDIRKDIR-2014-VazquezJ
Handling Missing Data in a Tree Species Catalog Proposed for Reforesting Mexico City (HJV, MJM), pp. 457–464.
KEODKEOD-2014-AliG #integration
Ontology-Driven Mediated Data Integration in Open Environment (IA, HG), pp. 230–239.
KEODKEOD-2014-AzaiezA #analysis #how #question #towards
How to Guarantee Analysis Results Coherence after Data Warehouse Schema Changes Propagation towards Data Marts? (NA, JA), pp. 428–435.
KEODKEOD-2014-Bergamaschi #big data #challenge #integration #state of the art
Big Data Integration — State of the Art & Challenges (SB), pp. 1–7.
KEODKEOD-2014-HlomaniS #category theory #data-driven #evaluation #framework #metric #ontology
Data-driven Diachronic and Categorical Evaluation of Ontologies — Framework, Measure, and Metrics (HH, DAS), pp. 56–66.
KEODKEOD-2014-SurynekS #big data #challenge #graph #information management #logic #perspective #reasoning
Theoretical Challenges in Knowledge Discovery in Big Data — A Logic Reasoning and a Graph Theoretical Point of View (PS, PS), pp. 327–332.
KEODKEOD-2014-Talia #big data #data mining #distributed #information management #mining
Big Data Mining Services and Distributed Knowledge Discovery Applications on Clouds (DT), pp. 1–5.
KMISKMIS-2014-Bures #aspect-oriented #case study #difference #xml
Technical Aspects of XML Format — Case Study — Differences between Saving Data into Element and Attribute (OB), pp. 354–359.
KMISKMIS-2014-EnglmeierR #capacity #data-driven #information management #self
Self-Service Data Discovery and Information Sharing — Fostering the Engineering Capacity of the Data-Driven Mindset (KE, HR), pp. 339–345.
KMISKMIS-2014-FredjLC #algorithm #guidelines
Characterizing Generalization Algorithms — First Guidelines for Data Publishers (FBF, NL, ICW), pp. 360–366.
KMISKMIS-2014-HeavinDA #big data #information management
Small Data to Big Data — The Information Systems (IS) Continuum (CH, MD, FA), pp. 289–297.
KMISKMIS-2014-Kaczmarek #architecture #documentation #music
The Application of the IODA Document Architecture to Music Data (ALK), pp. 268–273.
KMISKMIS-2014-VelosoPSSRA0 #data mining #mining #modelling #predict #realtime
Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units (RV, FP, MFS, ÁMS, FR, AA, JM), pp. 245–254.
KMISKMIS-2014-ZochollA #modelling #nondeterminism #ontology #parametricity #representation
Ontology-based Representation of Time Dependent Uncertainty Information for Parametric Product Data Models (MZ, RA), pp. 400–404.
KRKR-2014-HaririCD #bound
State-Boundedness in Data-Aware Dynamic Systems (BBH, DC, MM, AD).
MLDMMLDM-2014-AbdullahiCM #approach #identification #novel #using
A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores (FBA, FC, RM), pp. 58–72.
MLDMMLDM-2014-AnandWA #information management #scalability
A Method of Crowd-Sourced Information Extraction From Large Data Files (IMA, AW, PA), pp. 431–436.
MLDMMLDM-2014-BaroutiKKM #clustering #data type #distributed #monitoring
Monitoring Distributed Data Streams through Node Clustering (MB, DK, JK, YM), pp. 149–162.
MLDMMLDM-2014-KuleshovB #data mining #learning #mining
Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.
MLDMMLDM-2014-SandovalH #learning #network #using
Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks (JS, GH), pp. 408–421.
MLDMMLDM-2014-SharmaT #mining #social #social media
A Generalized Relationship Mining Method for Social Media Text Data (TS, DT), pp. 376–392.
MLDMMLDM-2014-UtkinZC #classification #data-driven #database #robust
A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy (LVU, YAZ, AIC), pp. 107–118.
MLDMMLDM-2014-WaiyamaiKSR #classification #concept #data type #named
ACCD: Associative Classification over Concept-Drifting Data Streams (KW, TK, BS, TR), pp. 78–90.
MLDMMLDM-2014-WangLK #concurrent #data mining #mining
Applications of Concurrent Sequential Patterns in Protein Data Mining (CW, JL, MK), pp. 243–257.
RecSysRecSys-2014-CremonesiQ #question #recommendation
Cross-domain recommendations without overlapping data: myth or reality? (PC, MQ), pp. 297–300.
RecSysRecSys-2014-JannachF #data mining #mining #modelling #process #recommendation
Recommendation-based modeling support for data mining processes (DJ, SF), pp. 337–340.
RecSysRecSys-2014-KimC #collaboration #predict
Bayesian binomial mixture model for collaborative prediction with non-random missing data (YDK, SC), pp. 201–208.
SEKESEKE-2014-AssoudiL #approach #multi #process
A Multi-Agent-Based Approach for Autonomic Data Exchange Processes (HA, HL), pp. 334–337.
SEKESEKE-2014-BarnesL #analysis #clustering
Text-Based Clustering and Analysis of Intelligent Argumentation Data (ECB, XFL), pp. 422–425.
SEKESEKE-2014-DaubalDDA #concept
Tracing Domain Data Concepts in Layered Applications (MD, ND, DBD, HUA), pp. 292–297.
SEKESEKE-2014-DingSZ #development #protocol
Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer (JD, YS, DZ), pp. 626–631.
SEKESEKE-2014-El-KharboutlyGF #analysis #security
Industry-wise Analysis of Security Breaches in Data Loss Incidents (REK, SSG, LF), pp. 615–619.
SEKESEKE-2014-JuniorCMS #data analysis #gpu #repository
Exploratory Data Analysis of Software Repositories via GPU Processing (JRDSJ, EC, LM, AS), pp. 495–500.
SEKESEKE-2014-NetoASFM #architecture #behaviour #data transformation #framework #modelling #named #using
CoMoVi: a Framework for Data Transformation in Credit Behavioral Scoring Applications Using Model Driven Architecture (RFON, PJLA, ACS, DRdCF, GRM), pp. 286–291.
SEKESEKE-2014-Saito0TO #approach #constraints #generative #knowledge-based #testing #web
Test Data Generation for Web Applications: A Constraint and Knowledge-based Approach (HS, ST, HT, MO), pp. 110–114.
SEKESEKE-2014-SouzaRS #empirical #predict #using
A Proposal for the Improvement of Project’s Cost Predictability using Earned Value Management and Historical Data of Cost — An Empirical Study (ADdS, ARR, DCSdS), pp. 729–734.
SIGIRSIGIR-2014-NiuLGCG #data analysis #learning #rank #robust #what
What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.
SIGIRSIGIR-2014-ThomasL #composition #data analysis #distance #information retrieval
Compositional data analysis (CoDA) approaches to distance in information retrieval (PT, DL), pp. 991–994.
SIGIRSIGIR-2014-VulicZM #e-commerce #formal method #learning
Learning to bridge colloquial and formal language applied to linking and search of E-Commerce data (IV, SZ, MFM), pp. 1195–1198.
SIGIRSIGIR-2014-WangSZZ
Active hashing with joint data example and tag selection (QW, LS, ZZ, NZ), pp. 405–414.
SIGIRSIGIR-2014-WangWLC #perspective #re-engineering
Influential nodes selection: a data reconstruction perspective (ZW, HW, QL, EC), pp. 879–882.
SIGIRSIGIR-2014-Williams #big data #how
The data revolution: how companies are transforming with big data (HEW), pp. 525–526.
SIGIRSIGIR-2014-WuH #data fusion
Search result diversification via data fusion (SW, CH), pp. 827–830.
SIGIRSIGIR-2014-Zhang #graph #rdf #scalability
Graph-based large scale RDF data compression (WEZ), p. 1276.
ECMFAECMFA-2014-LogreMCR #approach #variability #visualisation
Sensor Data Visualisation: A Composition-Based Approach to Support Domain Variability (IL, SM, PC, MR), pp. 101–116.
ICMTICMT-2014-GonzalezC #analysis #constraints #generative #model transformation #testing
Test Data Generation for Model Transformations Combining Partition and Constraint Analysis (CAG, JC), pp. 25–41.
ICMTICMT-2014-JilaniIK #approach #generative #model transformation #testing
A Search Based Test Data Generation Approach for Model Transformations (AAJ, MZI, MUK), pp. 17–24.
MODELSMoDELS-2014-BousseCB14a #scalability
Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MODELSMoDELS-2014-ShahWKRPB #benchmark #framework #metric #persistent #scalability
A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence (SMS, RW, DSK, LMR, RFP, KB), pp. 586–601.
MODELSMoDELS-2014-BousseCB14a #scalability
Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MODELSMoDELS-2014-ShahWKRPB #benchmark #framework #metric #persistent #scalability
A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence (SMS, RW, DSK, LMR, RFP, KB), pp. 586–601.
ECOOPECOOP-2014-GramoliG #concurrent #data type #reuse
Reusable Concurrent Data Types (VG, RG), pp. 182–206.
ECOOPECOOP-2014-PintoDG #abstraction #logic #named
TaDA: A Logic for Time and Data Abstraction (PdRP, TDY, PG), pp. 207–231.
OnwardOnward-2014-TaeumelPSLH #data-driven #development
Interleaving of Modification and Use in Data-driven Tool Development (MT, MP, BS, JL, RH), pp. 185–200.
OnwardOnward-2014-WalkingshawKEAB #data type #trade-off #variability
Variational Data Structures: Exploring Tradeoffs in Computing with Variability (EW, CK, ME, SA, EB), pp. 213–226.
OOPSLAOOPSLA-2014-BarowyGB #debugging #named #spreadsheet
CheckCell: data debugging for spreadsheets (DWB, DG, EDB), pp. 507–523.
OOPSLAOOPSLA-2014-BellK #data flow #named
Phosphor: illuminating dynamic data flow in commodity jvms (JB, GEK), pp. 83–101.
OOPSLAOOPSLA-2014-HolkNSL #data type #gpu #memory management #programming language
Region-based memory management for GPU programming languages: enabling rich data structures on a spartan host (EH, RN, JGS, AL), pp. 141–155.
OOPSLAOOPSLA-2014-JonnalageddaCSRO #combinator #parsing #performance #staged
Staged parser combinators for efficient data processing (MJ, TC, SS, TR, MO), pp. 637–653.
OOPSLAOOPSLA-2014-MitschkeEKMS #named
i3QL: language-integrated live data views (RM, SE, MK, MM, GS), pp. 417–432.
OOPSLAOOPSLA-2014-UrecheBO #data transformation #layout #representation
Late data layout: unifying data representation transformations (VU, EB, MO), pp. 397–416.
OOPSLAOOPSLA-2014-WangCC #abstraction #compilation #verification
Compiler verification meets cross-language linking via data abstraction (PW, SC, AC), pp. 675–690.
OOPSLAOOPSLA-2014-XiaoGZZZYWLCZ #named #reduction #source code
Cybertron: pushing the limit on I/O reduction in data-parallel programs (TX, ZG, HZ, JZ, XZ, CY, XW, WL, WC, LZ), pp. 895–908.
PLATEAUPLATEAU-2014-SadowskiY #concurrent #detection #developer #how #tool support
How Developers Use Data Race Detection Tools (CS, JY), pp. 43–51.
GPCEGPCE-2014-SmeltzerEM #approach #visualisation
A transformational approach to data visualization (KS, ME, RAM), pp. 53–62.
POPLPOPL-2014-BurckhardtGYZ #data type #specification #verification
Replicated data types: specification, verification, optimality (SB, AG, HY, MZ), pp. 271–284.
POPLPOPL-2014-MillerHKS #authentication #data type
Authenticated data structures, generically (AM, MH, JK, ES), pp. 411–424.
SACSAC-2014-AnderssonDA #artificial reality #identification #using
Anthropometric and human gait identification using skeleton data from Kinect sensor (VOA, RD, RMdA), pp. 60–61.
SACSAC-2014-ArapovBO #named #web #wiki
WikiNEXT: a wiki for exploiting the web of data (PA, MB, ABO), pp. 727–734.
SACSAC-2014-BaeCPJKC #clustering #effectiveness #memory management
An effective data clustering method based on expected update time in flash memory environment (DHB, JWC, SMP, BSJ, SWK, SjC), pp. 1492–1497.
SACSAC-2014-BarbosaBAC #lightweight #privacy
Lightweight privacy for smart metering data by adding noise (PB, AB, HA, SC), pp. 531–538.
SACSAC-2014-EvermannA #algorithm #big data #implementation #mining #process
Big data meets process mining: implementing the alpha algorithm with map-reduce (JE, GA), pp. 1414–1416.
SACSAC-2014-GomesE #adaptation #classification #data type #named #social
SAE2: advances on the social adaptive ensemble classifier for data streams (HMG, FE), pp. 798–804.
SACSAC-2014-HamerW #scalability
Large scale processing of landsat data on various software platforms (GH, JW), pp. 1547–1549.
SACSAC-2014-HuergoPD #approach #identification #modelling #using
A method to identify services using master data and artifact-centric modeling approach (RSH, PFP, FCD), pp. 1225–1230.
SACSAC-2014-IencoBPP #category theory #data type #detection #evolution
Change detection in categorical evolving data streams (DI, AB, BP, PP), pp. 792–797.
SACSAC-2014-LabdaMS #modelling #privacy #process
Modeling of privacy-aware business processes in BPMN to protect personal data (WL, NM, PS), pp. 1399–1405.
SACSAC-2014-LeeJB #design #file system #memory management #named #similarity
DTFS: exploiting the similarity of data versions to design a write-efficient file system in phase-change memory (EL, JEJ, HB), pp. 1535–1540.
SACSAC-2014-LiMZ #using #visualisation
Visualization of oceanographic applications using a common data model (JL, ZPM, KZ), pp. 933–938.
SACSAC-2014-LiWL #learning #mobile #online #recognition
Online learning with mobile sensor data for user recognition (HGL, XW, ZL), pp. 64–70.
SACSAC-2014-Moin #approach #collaboration #visualisation
A unified approach to collaborative data visualization (AM), pp. 280–286.
SACSAC-2014-OmatuY #classification #smell #using
Smell classification using weakly responding data (SO, MY), pp. 213–214.
SACSAC-2014-SwamyIG #2d #image
Two level reversible data hiding in 2D images (NRS, SI, PG), pp. 58–59.
SACSAC-2014-TinK #clustering #distributed #performance
Method for fast clustering of data distributed on a sphere surface (TT, SRK), pp. 1735–1736.
FSEFSE-2014-SunZLZWZK #query #re-engineering
Querying sequential software engineering data (CS, HZ, JGL, HZ, QW, DZ, SCK), pp. 700–710.
FSEFSE-2014-ZhouM #mining
Mining micro-practices from operational data (MZ, AM), pp. 845–848.
FSEFSE-2014-Zimmermann
Data hard with a vengeance (invited talk) (TZ), p. 6.
ICSEICSE-2014-ArztB #analysis #data flow #incremental #named
Reviser: efficiently updating IDE-/IFDS-based data-flow analyses in response to incremental program changes (SA, EB), pp. 288–298.
ICSEICSE-2014-BegelZ #exclamation #re-engineering
Analyze this! 145 questions for data scientists in software engineering (AB, TZ), pp. 12–13.
ICSEICSE-2014-BocicB #induction #invariant #verification #web
Inductive verification of data model invariants for web applications (IB, TB), pp. 620–631.
ICSEICSE-2014-GopinathKSC #data-driven
Data-guided repair of selection statements (DG, SK, DS, SC), pp. 243–253.
ICSEICSE-2014-MinkuY #estimation #how #question
How to make best use of cross-company data in software effort estimation? (LLM, XY), pp. 446–456.
ICSEICSE-2014-NguyenNNN #interprocedural #javascript #mining #web
Mining interprocedural, data-oriented usage patterns in JavaScript web applications (HVN, HAN, ATN, TNN), pp. 791–802.
ICSEICSE-2014-YuSR #automation #framework #named #testing
SimRT: an automated framework to support regression testing for data races (TY, WSa, GR), pp. 48–59.
SLESLE-2014-HarkesV #modelling #navigation
Unifying and Generalizing Relations in Role-Based Data Modeling and Navigation (DH, EV), pp. 241–260.
SLESLE-2014-HartelHL #generative #testing #xtext
Test-Data Generation for Xtext — Tool Paper (JH, LH, RL), pp. 342–351.
SPLCSPLC-2014-Bosch #named #towards
ESAO: towards data- and ecosystem-driven R&D (JB), p. 363.
ASPLOSASPLOS-2014-AgrawalPPTTL #hardware #named #parallel
Rhythm: harnessing data parallel hardware for server workloads (SRA, VP, JP, JT, DT, ARL), pp. 19–34.
ASPLOSASPLOS-2014-BornholtMM #first-order #named #nondeterminism
Uncertain: a first-order type for uncertain data (JB, TM, KSM), pp. 51–66.
ASPLOSASPLOS-2014-MytkowiczMS #finite #state machine
Data-parallel finite-state machines (TM, MM, WS), pp. 529–542.
ASPLOSASPLOS-2014-SamadiJLM #approximate #named #parallel
Paraprox: pattern-based approximation for data parallel applications (MS, DAJ, JL, SAM), pp. 35–50.
ASPLOSASPLOS-2014-WoodCG #detection #low level
Low-level detection of language-level data races with LARD (BPW, LC, DG), pp. 671–686.
HPCAHPCA-2014-HuangHFS #concurrent #data transformation #detection #metadata #runtime
Low-overhead and high coverage run-time race detection through selective meta-data management (RCH, EH, AF, GES), pp. 96–107.
HPCAHPCA-2014-KurianDK #replication
Locality-aware data replication in the Last-Level Cache (GK, SD, OK), pp. 1–12.
HPCAHPCA-2014-PeraisS
Practical data value speculation for future high-end processors (AP, AS), pp. 428–439.
HPCAHPCA-2014-QiMAT #detection
Dynamically detecting and tolerating IF-Condition Data Races (SQ, AM, WA, JT), pp. 120–131.
HPCAHPCA-2014-TsengT #named #thread
CDTT: Compiler-generated data-triggered threads (HWT, DMT), pp. 650–661.
HPCAHPCA-2014-WangZLZYHGJSZZLZLQ #benchmark #big data #internet #metric #named
BigDataBench: A big data benchmark suite from internet services (LW, JZ, CL, YZ, QY, YH, WG, ZJ, YS, SZ, CZ, GL, KZ, XL, BQ), pp. 488–499.
HPCAHPCA-2014-ZhengMW #energy
Exploiting thermal energy storage to reduce data center capital and operating expenses (WZ, KM, XW), pp. 132–141.
HPDCHPDC-2014-BakerXDLNMEVW #simulation
A methodology for evaluating the impact of data compression on climate simulation data (AHB, HX, JMD, MNL, DN, SAM, JE, MV, AW), pp. 203–214.
HPDCHPDC-2014-TangMEL0G #manycore #scalability
Data filtering for scalable high-dimensional k-NN search on multicore systems (XT, SM, DME, KCL, ZH, MG), pp. 305–310.
ISMMISMM-2014-LiDL #liveness #modelling #using
Modeling heap data growth using average liveness (PL, CD, HL), pp. 71–82.
LCTESLCTES-2014-ChandramohanO #clustering #design #energy #source code
Partitioning data-parallel programs for heterogeneous MPSoCs: time and energy design space exploration (KC, MFPO), pp. 73–82.
LCTESLCTES-2014-Guo #co-evolution #data access #design #energy #performance
Energy efficient data access and storage through HW/SW co-design (MG), p. 83.
LCTESLCTES-2014-Whalley #data access #energy #performance
Energy efficient data access techniques (DBW), p. 1.
OSDIOSDI-2014-BalakrishnanBDEGHLOPR #named
Pelican: A Building Block for Exascale Cold Data Storage (SB, RB, AD, PE, AG, DH, SL, AO, EP, AITR), pp. 351–365.
OSDIOSDI-2014-BangertZ #generative #named #parsing
Nail: A Practical Tool for Parsing and Generating Data Formats (JB, NZ), pp. 615–628.
OSDIOSDI-2014-SpahnBLBGK #abstraction #data transformation #fine-grained #named #operating system
Pebbles: Fine-Grained Data Management Abstractions for Modern Operating Systems (RS, JB, ML, SB, RG, GEK), pp. 113–129.
OSDIOSDI-2014-VenkataramanPAFS #clustering #power of #scheduling
The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
OSDIOSDI-2014-YuanLZRZZJS #analysis #data-driven #distributed #testing
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems (DY, YL, XZ, GRR, XZ, YZ, PJ, MS), pp. 249–265.
PPoPPPPoPP-2014-0003VTCT #data type #scheduling
Data structures for task-based priority scheduling (MW, FV, JLT, DC, PT), pp. 379–380.
PPoPPPPoPP-2014-AgrawalFSSU #data type #parallel #scheduling #source code
Provably good scheduling for parallel programs that use data structures through implicit batching (KA, JTF, BS, JS, RU), pp. 389–390.
PPoPPPPoPP-2014-Bautista-GomezC #detection #monitoring
Detecting silent data corruption through data dynamic monitoring for scientific applications (LABG, FC), pp. 381–382.
PPoPPPPoPP-2014-TimnatP #data type #simulation
A practical wait-free simulation for lock-free data structures (ST, EP), pp. 357–368.
CAVCAV-2014-LesaniMP #automation #concurrent #data type #verification
Automatic Atomicity Verification for Clients of Concurrent Data Structures (ML, TDM, JP), pp. 550–567.
CAVCAV-2014-PiskacWZ #automation #logic
Automating Separation Logic with Trees and Data (RP, TW, DZ), pp. 711–728.
ICLPICLP-J-2014-TachmazidisAF #big data #performance #semantics
Efficient Computation of the Well-Founded Semantics over Big Data (IT, GA, WF), pp. 445–459.
ICSTICST-2014-AraujoC #data flow #in the large #testing
Data-Flow Testing in the Large (RPAdA, MLC), pp. 81–90.
ICSTICST-2014-DenaroPV #data flow #on the #testing
On the Right Objectives of Data Flow Testing (GD, MP, MV), pp. 71–80.
ICSTICST-2014-Marin #approach #automation #database #multi #testing
A Data-Agnostic Approach to Automatic Testing of Multi-dimensional Databases (MM), pp. 133–142.
ISSTAISSTA-2014-LoyolaSKR #automation #named #set
Dodona: automated oracle data set selection (PL, MS, IYK, GR), pp. 193–203.
ISSTAISSTA-2014-MarianiPRS #named #testing #web
Link: exploiting the web of data to generate test inputs (LM, MP, OR, MS), pp. 373–384.
ISSTAISSTA-2014-ShachamYGABSV #independence #verification
Verifying atomicity via data independence (OS, EY, GGG, AA, NGB, MS, MTV), pp. 26–36.
TAPTAP-2014-KurthSW #constraints #generative #interface #process #testing #theorem proving #uml #using
Generating Test Data from a UML Activity Using the AMPL Interface for Constraint Solvers (FK, SS, SW), pp. 169–186.
CBSECBSE-2013-BurtonS #correctness #data type #mixin #using
Correctness of intrusive data structures using mixins (EB, ES), pp. 53–58.
CBSECBSE-2013-KarveS #component #mining #online #towards
Towards mining informal online data to guide component-reuse decisions (SK, CS), pp. 65–74.
ECSAECSA-2013-CuestaMF #architecture #realtime #semantics #towards
Towards an Architecture for Managing Big Semantic Data in Real-Time (CEC, MAMP, JDF), pp. 45–53.
ECSAECSA-2013-VenB #architecture #design
Making the Right Decision: Supporting Architects with Design Decision Data (JSvdV, JB), pp. 176–183.
ASEASE-2013-Ganai #incremental #performance #predict #reasoning
Efficient data race prediction with incremental reasoning on time-stamped lock history (MKG), pp. 37–47.
ASEASE-2013-LiRSDC #data flow #generative #named #source code
SEDGE: Symbolic example data generation for dataflow programs (KL, CR, YS, YD, CC), pp. 235–245.
ASEASE-2013-NardoABFNM #modelling #validation
Model based test validation and oracles for data acquisition systems (DDN, NA, LCB, EF, TNA, VM), pp. 540–550.
ASEASE-2013-OsterlundL #data type
Dynamically transforming data structures (, WL), pp. 410–420.
ASEASE-2013-Wu0LD #analysis #automation #component #dependence #using
Automatically partition software into least privilege components using dynamic data dependency analysis (YW, JS, YL, JSD), pp. 323–333.
ASEASE-2013-ZhangCW #concurrent #data type #named #runtime
Round-up: Runtime checking quasi linearizability of concurrent data structures (LZ, AC, CW), pp. 4–14.
CASECASE-2013-DanishvarMSA #clustering #modelling #realtime
Event-clustering for real-time data modeling (MD, AM, PAMdS, RA), pp. 362–367.
CASECASE-2013-LiSZL #assessment #automation #difference #quality #simulation
Sensor data quality assessment for building simulation model calibration based on automatic differentiation (SL, ZS, MZ, YL), pp. 752–757.
CASECASE-2013-LiuZZ #approach #data-driven #modelling
Data driven modeling of human welder intelligence: A neuro-fuzzy approach (YL, WZ, YZ), pp. 663–668.
CASECASE-2013-QiaoMG #algorithm #data-driven #scheduling
Attribute selection algorithm of data-based scheduling strategy for semiconductor manufacturing (FQ, YM, XG), pp. 410–415.
DACDAC-2013-BenazouzKHB #data flow #evaluation #graph #liveness
Liveness evaluation of a cyclo-static DataFlow graph (MB, AMK, TH, BB), p. 7.
DACDAC-2013-ChandrikakuttyUTW #hardware #monitoring #network
High-performance hardware monitors to protect network processors from data plane attacks (HC, DU, RT, TW), p. 6.
DACDAC-2013-LuBS #data transformation #multi #named #stack
SSDM: smart stack data management for software managed multicores (SMMs) (JL, KB, AS), p. 8.
DACDAC-2013-WangZSLG #modelling #performance #reuse #scalability
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-ZhanR #energy
Techniques for energy-efficient power budgeting in data centers (XZ, SR), p. 7.
DATEDATE-2013-BaiS #architecture #automation #data transformation #manycore #memory management #performance
Automatic and efficient heap data management for limited local memory multicore architectures (KB, AS), pp. 593–598.
DATEDATE-2013-GhiribaldiBN #architecture #effectiveness #manycore
A transition-signaling bundled data NoC switch architecture for cost-effective GALS multicore systems (AG, DB, SMN), pp. 332–337.
DATEDATE-2013-GuoWLLLC #named
DA-RAID-5: a disturb aware data protection technique for NAND flash storage systems (JG, WW, YZ, SL, HL, YC), pp. 380–385.
DATEDATE-2013-KahngKP #power management #reduction
Active-mode leakage reduction with data-retained power gating (ABK, SK, BP), pp. 1209–1214.
DATEDATE-2013-LagraaTP #concurrent #data access #data mining #identification #memory management #mining #simulation
Data mining MPSoC simulation traces to identify concurrent memory access patterns (SL, AT, FP), pp. 755–760.
DATEDATE-2013-LorenteVSPCLD #power management #ram
Combining RAM technologies for hard-error recovery in L1 data caches working at very-low power modes (VL, AV, JS, SP, RC, PL, JD), pp. 83–88.
DATEDATE-2013-MalburgFF #analysis #comprehension #data flow #design
Tuning dynamic data flow analysis to support design understanding (JM, AF, GF), pp. 1179–1184.
DATEDATE-2013-TuHC
Co-synthesis of data paths and clock control paths for minimum-period clock gating (WPT, SHH, CHC), pp. 1831–1836.
DATEDATE-2013-ZapaterAMVGC #energy #performance
Leakage and temperature aware server control for improving energy efficiency in data centers (MZ, JLA, JMM, KV, KCG, AKC), pp. 266–269.
DATEDATE-2013-ZordanBDGTVB #fault #power management
Test solution for data retention faults in low-power SRAMs (LBZ, AB, LD, PG, AT, AV, NB), pp. 442–447.
DRRDRR-2013-ChristiansenB
Data acquisition from cemetery headstones (CSC, WAB).
HTHT-2013-LopezKSL #integration
Guided exploration and integration of urban data (VL, SK, MLS, RL), pp. 242–247.
HTHT-2013-Luczak-RoschT #on the #web
On the topology of the web of data (MLR, RT), pp. 253–257.
HTHT-2013-MarieCGR #linked data #on the fly #open data
Composite interests’ exploration thanks to on-the-fly linked data spreading activation (NM, OC, FG, MR), pp. 31–40.
HTHT-2013-StolzH #linked data #open data #rdf
From RDF to RSS and atom: content syndication with linked data (AS, MH), pp. 236–241.
HTHT-2013-WolffMC #data flow #named #using
Storyscope: using theme and setting to guide story enrichment from external data sources (AW, PM, TDC), pp. 79–88.
ICDARICDAR-2013-ChengSAT #classification #data fusion #image #using #visual notation
Graphical Figure Classification Using Data Fusion for Integrating Text and Image Features (BC, RJS, SA, GRT), pp. 693–697.
ICDARICDAR-2013-ChenPCN #detection
Detecting OOV Names in Arabic Handwritten Data (JC, RP, HC, PN), pp. 994–998.
ICDARICDAR-2013-HassaineAB #contest
ICDAR 2013 Competition on Handwriting Stroke Recovery from Offline Data (AH, SAM, AB), pp. 1412–1416.
ICDARICDAR-2013-KleberFDS #database #identification #named #retrieval #word
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting (FK, SF, MD, RS), pp. 560–564.
PODSPODS-2013-AbiteboulV #collaboration #data-driven #workflow
Collaborative data-driven workflows: think global, act local (SA, VV), pp. 91–102.
PODSPODS-2013-BienvenuCLW #case study #csp #data access #datalog #ontology
Ontology-based data access: a study through disjunctive datalog, CSP, and MMSNP (MB, BtC, CL, FW), pp. 213–224.
PODSPODS-2013-CalvaneseGM #analysis #database #perspective #process
Foundations of data-aware process analysis: a database theory perspective (DC, GDG, MM), pp. 1–12.
PODSPODS-2013-Figueira #on the #testing #transitive #xpath
On XPath with transitive axes and data tests (DF), pp. 249–260.
PODSPODS-2013-HaririCGDM #relational #verification
Verification of relational data-centric dynamic systems with external services (BBH, DC, GDG, AD, MM), pp. 163–174.
PODSPODS-2013-LibkinRV #adaptation #graph #query #rdf
Trial for RDF: adapting graph query languages for RDF data (LL, JLR, DV), pp. 201–212.
PODSPODS-2013-RudolphK #data access #query
Flag & check: data access with monadically defined queries (SR, MK), pp. 151–162.
SIGMODSIGMOD-2013-AboulnagaB #big data #data analysis
Workload management for big data analytics (AA, SB), pp. 929–932.
SIGMODSIGMOD-2013-AchtertKSZ #3d #coordination #data mining #interactive #mining
Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.
SIGMODSIGMOD-2013-AnanthanarayananBDGJQRRSV #data type #fault tolerance #named #scalability
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-ArenasDNUBV #xml
Discovering XSD keys from XML data (MA, JD, FN, MU, JVdB, SV), pp. 61–72.
SIGMODSIGMOD-2013-ArocenaGM
Value invention in data exchange (PCA, BG, RJM), pp. 157–168.
SIGMODSIGMOD-2013-BailisVFHS #consistency #data transformation #metric
PBS at work: advancing data management with consistency metrics (PB, SV, MJF, JMH, IS), pp. 1113–1116.
SIGMODSIGMOD-2013-BarnettCDDFGMP #big data #exclamation #interactive
Stat!: an interactive analytics environment for big data (MB, BC, RD, SMD, DF, JG, PM, JCP), pp. 1013–1016.
SIGMODSIGMOD-2013-BykauRV #evolution #query
A query answering system for data with evolution relationships (SB, FR, YV), pp. 989–992.
SIGMODSIGMOD-2013-ChenCC #performance #query
An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.
SIGMODSIGMOD-2013-ChristensenL #adaptation
Adaptive log compression for massive log data (RC, FL), pp. 1283–1284.
SIGMODSIGMOD-2013-CondieMPW #big data #machine learning
Machine learning for big data (TC, PM, NP, MW), pp. 939–942.
SIGMODSIGMOD-2013-DallachiesaEEEIOT #named
NADEEF: a commodity data cleaning system (MD, AE, AE, AKE, IFI, MO, NT), pp. 541–552.
SIGMODSIGMOD-2013-EwenSTWM #parallel
Iterative parallel data processing with stratosphere: an inside look (SE, SS, KT, DW, VM), pp. 1053–1056.
SIGMODSIGMOD-2013-FinisBK0FM #named #performance #version control
DeltaNI: an efficient labeling scheme for versioned hierarchical data (JF, RB, AK, TN, FF, NM), pp. 905–916.
SIGMODSIGMOD-2013-GeorgiadisKGPTM #algorithm #data type #detection #framework #state of the art
Continuous outlier detection in data streams: an extensible framework and state-of-the-art algorithms (DG, MK, AG, ANP, KT, YM), pp. 1061–1064.
SIGMODSIGMOD-2013-GhazalRHRPCJ #benchmark #big data #data analysis #industrial #metric #named #standard #towards
BigBench: towards an industry standard benchmark for big data analytics (AG, TR, MH, FR, MP, AC, HAJ), pp. 1197–1208.
SIGMODSIGMOD-2013-GolabJ #data type
Data stream warehousing (LG, TJ), pp. 949–952.
SIGMODSIGMOD-2013-Hartig #execution #linked data #named #open data #query #traversal #web
SQUIN: a traversal based query execution system for the web of linked data (OH), pp. 1081–1084.
SIGMODSIGMOD-2013-Horikawa #data type #design #evaluation #implementation
Latch-free data structures for DBMS: design, implementation, and evaluation (TH), pp. 409–420.
SIGMODSIGMOD-2013-HuangB0 #data analysis #in the cloud #named #optimisation #statistics
Cumulon: optimizing statistical data analysis in the cloud (BH, SB, JY), pp. 1–12.
SIGMODSIGMOD-2013-HuangZ #natural language #rdf
Natural language question answering over RDF data (RH, LZ), pp. 1289–1290.
SIGMODSIGMOD-2013-HullSV #bibliography #data transformation #perspective #process #tutorial
Data management perspectives on business process management: tutorial overview (RH, JS, RV), pp. 943–948.
SIGMODSIGMOD-2013-KaufmannMVFKFM #data type #query #timeline
Timeline index: a unified data structure for processing queries on temporal data in SAP HANA (MK, AAM, PV, PMF, DK, FF, NM), pp. 1173–1184.
SIGMODSIGMOD-2013-KonstantinouTMK #distributed #named
DBalancer: distributed load balancing for NoSQL data-stores (IK, DT, IM, NK), pp. 1037–1040.
SIGMODSIGMOD-2013-LapeineHHG #data analysis #interactive #mobile #query
Mobile interaction and query optimizationin a protein-ligand data analysis system (ML, KGH, EH, NMG), pp. 1291–1292.
SIGMODSIGMOD-2013-LiP #in memory #memory management #named #performance
BitWeaving: fast scans for main memory data processing (YL, JMP), pp. 289–300.
SIGMODSIGMOD-2013-LuoT0N
Finding time period-based most frequent path in big trajectory data (WL, HT, LC, LMN), pp. 713–724.
SIGMODSIGMOD-2013-MishneDLSL #architecture #big data #performance #query #realtime #twitter
Fast data in the era of big data: Twitter’s real-time related query suggestion architecture (GM, JD, ZL, AS, JL), pp. 1147–1158.
SIGMODSIGMOD-2013-MullerKLM #named #what
WOW: what the world of (data) warehousing can learn from the World of Warcraft (RM, TK, GML, JM), pp. 961–964.
SIGMODSIGMOD-2013-NazarukR #big data
Big data in capital markets (AN, MR), pp. 917–918.
SIGMODSIGMOD-2013-NobariTHKBA #clustering #in memory #named
TOUCH: in-memory spatial join by hierarchical data-oriented partitioning (SN, FT, TH, PK, SB, AA), pp. 701–712.
SIGMODSIGMOD-2013-OrdonezGGCBQ #algorithm #as a service #data mining #database #in the cloud #mining #relational
Data mining algorithms as a service in the cloud exploiting relational database systems (CO, JGG, CGA, WC, VB, MSQ), pp. 1001–1004.
SIGMODSIGMOD-2013-PapadopoulosCDG #algebra #authentication #data type #lightweight #linear #query
Lightweight authentication of linear algebraic queries on data streams (SP, GC, AD, MNG), pp. 881–892.
SIGMODSIGMOD-2013-PhamSL #named #social
EBM: an entropy-based model to infer social strength from spatiotemporal data (HP, CS, YL), pp. 265–276.
SIGMODSIGMOD-2013-QiaoSDQSGCSZABBGGIJLPRSSSSTTWZ #distributed #framework #on the
On brewing fresh espresso: LinkedIn’s distributed data serving platform (LQ, KS, SD, TQ, BS, BG, AC, OS, ZZ, AA, CB, GB, MG, KG, WI, SJ, SL, AP, AR, AS, RS, SS, YS, ST, CT, JW, DZ), pp. 1135–1146.
SIGMODSIGMOD-2013-SimitsisW0 #data flow #framework #named
xPAD: a platform for analytic data flows (AS, KW, PJ), pp. 1109–1112.
SIGMODSIGMOD-2013-SongYYHS #data flow #retrieval #scalability #semistructured data
Inter-media hashing for large-scale retrieval from heterogeneous data sources (JS, YY, YY, ZH, HTS), pp. 785–796.
SIGMODSIGMOD-2013-StougiannisPTHA #data transformation #data-driven
Data-driven neuroscience: enabling breakthroughs via innovative data management (AS, MP, FT, TH, AA), pp. 953–956.
SIGMODSIGMOD-2013-SuchanekW #big data
Knowledge harvesting in the big-data era (FMS, GW), pp. 933–938.
SIGMODSIGMOD-2013-SumbalyKS #big data #ecosystem
The big data ecosystem at LinkedIn (RS, JK, SS), pp. 1125–1134.
SIGMODSIGMOD-2013-SuZWHZ #analysis #similarity
Calibrating trajectory data for similarity-based analysis (HS, KZ, HW, JH, XZ), pp. 833–844.
SIGMODSIGMOD-2013-TruongBDS #named #xml
MESSIAH: missing element-conscious SLCA nodes search in XML data (BQT, SSB, CED, AS), pp. 37–48.
SIGMODSIGMOD-2013-UpadhyayaABHKRS #power of
The power of data use management in action (PU, NRA, MB, BH, RK, RR, DS), pp. 1117–1120.
SIGMODSIGMOD-2013-WangLYC #case study #data type
Quantiles over data streams: an experimental study (LW, GL, KY, GC), pp. 737–748.
SIGMODSIGMOD-2013-WoodsTA #performance
Less watts, more performance: an intelligent storage engine for data appliances (LW, JT, GA), pp. 1073–1076.
SIGMODSIGMOD-2013-ZhangGBFRP #named #statistics #using
GeoDeepDive: statistical inference using familiar data-processing languages (CZ, VG, JB, TF, CR, SP), pp. 993–996.
SIGMODSIGMOD-2013-ZhangKM #array #named
SciQL: array data processing inside an RDBMS (YZ, MLK, SM), pp. 1049–1052.
SIGMODSIGMOD-2013-ZhengJPL #kernel #performance #quality #scalability
Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.
VLDBVLDB-2013-0007DSF #named
Mosquito: Another One Bites the Data Upload STream (SR, JD, SS, TF), pp. 1274–1277.
VLDBVLDB-2013-0007TR #effectiveness #graph #keyword #performance #probability #query
Probabilistic Query Rewriting for Efficient and Effective Keyword Search on Graph Data (LZ, TT, AR), pp. 1642–1653.
VLDBVLDB-2013-AbrahamABBCGMMRSWZ #facebook #named
Scuba: Diving into Data at Facebook (LA, JA, OB, VRB, BC, CG, DM, JM, DR, SS, JLW, OZ), pp. 1057–1067.
VLDBVLDB-2013-AdelfioS #grammar recovery #web
Schema Extraction for Tabular Data on the Web (MDA, HS), pp. 421–432.
VLDBVLDB-2013-AjiWVLL0S #named #performance #pipes and filters
Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce (AA, FW, HV, RL, QL, XZ, JHS), pp. 1009–1020.
VLDBVLDB-2013-AlexiouKL #adaptation
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia (KA, DK, PÅL), pp. 1714–1725.
VLDBVLDB-2013-AntonelliCCLT
Exploiting the Diversity, Mass and Speed of Territorial Data by TELCO Operator for Better User Services (FA, AC, CC, RL, GT), pp. 1164–1165.
VLDBVLDB-2013-BediniEV #big data #case study #framework #scalability
The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities (IB, BE, YV), pp. 1166–1167.
VLDBVLDB-2013-BellamkondaLJZLC #adaptation #big data #execution #parallel
Adaptive and Big Data Scale Parallel Execution in Oracle (SB, HGL, UJ, YZ, VL, TC), pp. 1102–1113.
VLDBVLDB-2013-BergamaschiGILV #data-driven #database #keyword #machine learning #named #relational #semantics
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques (SB, FG, MI, RTL, YV), pp. 1222–1225.
VLDBVLDB-2013-BotheKV #named #query
eSkyline: Processing Skyline Queries over Encrypted Data (SB, PK, AV), pp. 1338–1341.
VLDBVLDB-2013-BouquetM #ecosystem
A global Entity Name System (ENS) for data ecosystems (PB, AM), pp. 1182–1183.
VLDBVLDB-2013-ChandramouliGQ #big data #in the cloud #scalability
Scalable Progressive Analytics on Big Data in the Cloud (BC, JG, AQ), pp. 1726–1737.
VLDBVLDB-2013-ChirkovaY #question #what
Big and Useful: What’s in the Data for Me? (RC, JY), pp. 1390–1391.
VLDBVLDB-2013-CiviliCGLLLMPRRSS #data access #ontology
MASTRO STUDIO: Managing Ontology-Based Data Access applications (CC, MC, GDG, DL, ML, LL, RM, AP, RR, MR, VS, DFS), pp. 1314–1317.
VLDBVLDB-2013-DeutchMT #analysis #named #process
PROPOLIS: Provisioned Analysis of Data-Centric Processes (DD, YM, VT), pp. 1302–1305.
VLDBVLDB-2013-Dey #scalability #transaction
Scalable Transactions across Heterogeneous NoSQL Key-Value Data Stores (AD), pp. 1434–1439.
VLDBVLDB-2013-DongS #big data #integration
Big Data Integration (XLD, DS), pp. 1188–1189.
VLDBVLDB-2013-DuttaNB #approach #approximate #data type #detection #streaming
Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams (SD, AN, SKB), pp. 589–600.
VLDBVLDB-2013-EbaidEIOQ0Y #named
NADEEF: A Generalized Data Cleaning System (AE, AKE, IFI, MO, JAQR, NT, SY), pp. 1218–1221.
VLDBVLDB-2013-EftekharK #clustering #data flow #ranking
Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.
VLDBVLDB-2013-EldawyM #framework #performance #pipes and filters
A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data (AE, MFM), pp. 1230–1233.
VLDBVLDB-2013-ElmeleegyL0WWKDC #bibliography #data transformation #framework
Overview of Turn Data Management Platform for Digital Advertising (HE, YL, YQ, PW, MW, SK, AD, SC), pp. 1138–1149.
VLDBVLDB-2013-FanGN #big data #preprocessor #query
Making Queries Tractable on Big Data with Preprocessing (WF, FG, FN), pp. 685–696.
VLDBVLDB-2013-Franceschini #approach #big data #how #open source
How to maximize the value of big data with the open source SpagoBI suite through a comprehensive approach (MF), pp. 1170–1171.
VLDBVLDB-2013-FuhryZSNP #named
PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data (DF, YZ, VS, AN, SP), pp. 1318–1321.
VLDBVLDB-2013-FuKR #on the #scalability
On Scaling Up Sensitive Data Auditing (YF, RK, RR), pp. 313–324.
VLDBVLDB-2013-GeertsMPS #framework
The LLUNATIC Data-Cleaning Framework (FG, GM, PP, DS), pp. 625–636.
VLDBVLDB-2013-GrustSU #sql
Functions Are Data Too (Defunctionalization for PL/SQL) (TG, NS, AU), pp. 1214–1217.
VLDBVLDB-2013-GuptaRM #data flow #distributed #query
Ratio Threshold Queries over Distributed Data Sources (RG, KR, MKM), pp. 565–576.
VLDBVLDB-2013-HassanzadehKKKOP #data analysis #generative
Next Generation Data Analytics at IBM Research (OH, AK, BK, RK, , IP), pp. 1174–1175.
VLDBVLDB-2013-HassanzadehPYMPHH #web
Discovering Linkage Points over Web Data (OH, KQP, SHY, RJM, LP, MAH, HH), pp. 444–456.
VLDBVLDB-2013-Hoppe #automation #big data #learning #ontology #web
Automatic ontology-based User Profile Learning from heterogeneous Web Resources in a Big Data Context (AH), pp. 1428–1433.
VLDBVLDB-2013-KaraezIZMK #lazy evaluation
Lazy ETL in Action: ETL Technology Dates Scientific Data (YK, MI, YZ, SM, MLK), pp. 1286–1289.
VLDBVLDB-2013-Kaufmann #in memory #memory management
Storing and Processing Temporal Data in a Main Memory Column Store (MK), pp. 1444–1449.
VLDBVLDB-2013-KondaKRS #data analysis #enterprise #feature model #using
Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System (PK, AK, CR, VS), pp. 1306–1309.
VLDBVLDB-2013-KornSSY #on the #problem
On Repairing Structural Problems In Semi-structured Data (FK, BS, DS, SY), pp. 601–612.
VLDBVLDB-2013-LiWC #automation #framework #monitoring #social #topic #towards #twitter
Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream (RL, SW, KCCC), pp. 1966–1977.
VLDBVLDB-2013-MokbelS #data transformation #network #perspective #social
Mobility and Social Networking: A Data Management Perspective (MFM, MS), pp. 1196–1197.
VLDBVLDB-2013-Ngo
Getting Unique Solution in Data Exchange (NN), pp. 1440–1443.
VLDBVLDB-2013-OkcanRPF #analysis #named
Scolopax: Exploratory Analysis of Scientific Data (AO, MR, BP, DF), pp. 1298–1301.
VLDBVLDB-2013-ParkW #crowdsourcing #optimisation #query
Query Optimization over Crowdsourced Data (HP, JW), pp. 781–792.
VLDBVLDB-2013-PsaroudakisAA #concurrent #query
Sharing Data and Work Across Concurrent Analytical Queries (IP, MA, AA), pp. 637–648.
VLDBVLDB-2013-RamazzinaBS #framework
A New Service for Customer Care Based on the TrentoRise BigData Platform (SR, CLB, DS), pp. 1162–1163.
VLDBVLDB-2013-RekatsinasDM #clustering #multi
A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries (TR, AD, AM), pp. 1594–1605.
VLDBVLDB-2013-Rendle #relational #scalability
Scaling Factorization Machines to Relational Data (SR), pp. 337–348.
VLDBVLDB-2013-SatheO0A #framework #named #query
EnviroMeter: A Platform for Querying Community-Sensed Data (SS, AO, DC, KA), pp. 1294–1297.
VLDBVLDB-2013-SathiamoorthyAPDVCB #big data #novel
XORing Elephants: Novel Erasure Codes for Big Data (MS, MA, DSP, AGD, RV, SC, DB), pp. 325–336.
VLDBVLDB-2013-Sellam #performance
Fast Cartography for Data Explorers (TS), pp. 1456–1461.
VLDBVLDB-2013-SikkaFGL #enterprise #evolution #framework #in memory
SAP HANA: The Evolution from a Modern Main-Memory Data Platform to an Enterprise Application Platform (VS, FF, AKG, WL), pp. 1184–1185.
VLDBVLDB-2013-Thonangi0 #permutation
Permuting Data on Random-Access Block Storage (RT, JY), pp. 721–732.
VLDBVLDB-2013-TranBD #big data #design #problem #query
Designing Query Optimizers for Big Data Problems of The Future (NT, SB, JD), pp. 1168–1169.
VLDBVLDB-2013-TranDSL #nondeterminism
Supporting User-Defined Functions on Uncertain Data (TTLT, YD, CAS, AL), pp. 469–480.
VLDBVLDB-2013-TuKMZ #query
Processing Analytical Queries over Encrypted Data (ST, MFK, SM, NZ), pp. 289–300.
VLDBVLDB-2013-WangWPWH #adaptation #segmentation
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series (YW, PW, JP, WW, SH), pp. 793–804.
VLDBVLDB-2013-YangZHLRW #data type #mining
Mining and Linking Patterns across Live Data Streams and Stream Archives (DY, KZ, MH, HL, EAR, MOW), pp. 1346–1349.
VLDBVLDB-2013-YanZITY #feedback #integration #keyword #query #search-based
Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration (ZY, NZ, ZGI, PPT, CY), pp. 205–216.
VLDBVLDB-2013-YuanL0 #gpu #query
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices (YY, RL, XZ), pp. 817–828.
VLDBVLDB-2013-YuanLWJZL #named #performance #rdf #scalability
TripleBit: a Fast and Compact System for Large Scale RDF Data (PY, PL, BW, HJ, WZ, LL), pp. 517–528.
VLDBVLDB-2013-ZengYWSW #distributed #graph #rdf #web
A Distributed Graph Engine for Web Scale RDF Data (KZ, JY, HW, BS, ZW), pp. 265–276.
VLDBVLDB-2013-ZhangWYMC #integration #lightweight #peer-to-peer #privacy
Lightweight Privacy-Preserving Peer-to-Peer Data Integration (YZ, WKW, SMY, NM, DWC), pp. 157–168.
VLDBVLDB-2014-KaranasosKM13 #capacity #constraints #named #scalability
Delta: Scalable Data Dissemination under Capacity Constraints (KK, AK, IM), pp. 217–228.
VLDBVLDB-2014-SalloumDST13 #data flow #online
Online Ordering of Overlapping Data Sources (MS, XLD, DS, VJT), pp. 133–144.
ITiCSEITiCSE-2013-BryfczynskiPCKD #data type #education
Teaching data structures with beSocratic (SB, RPP, MC, MK, BCD), pp. 105–110.
ITiCSEITiCSE-2013-MedinaPGR #data mining #education #learning #mining #programming #using
Assistance in computer programming learning using educational data mining and learning analytics (CFM, JRPP, VMÁG, MdPPR), pp. 237–242.
ESOPESOP-2013-SharmaGHALN #algebra #approach #data-driven #invariant
A Data Driven Approach for Algebraic Loop Invariants (RS, SG, BH, AA, PL, AVN), pp. 574–592.
ESOPESOP-2013-SvendsenBP #composition #concurrent #data type #reasoning
Modular Reasoning about Separation of Concurrent Data Structures (KS, LB, MJP), pp. 169–188.
TACASTACAS-2013-AbdullaHHJR #concurrent #data type #specification #verification
An Integrated Specification and Verification Technique for Highly Concurrent Data Structures (PAA, FH, LH, BJ, AR), pp. 324–338.
TACASTACAS-2013-WhiteL #data type #evolution #identification #in memory #learning #memory management
Identifying Dynamic Data Structures by Learning Evolving Patterns in Memory (DHW, GL), pp. 354–369.
CSMRCSMR-2013-Nagy #data-driven #static analysis
Static Analysis of Data-Intensive Applications (CN), pp. 435–438.
ICSMEICSM-2013-StrouliaMRB #collaboration #interactive
Interactive Exploration of Collaborative Software-Development Data (ES, IM, FR, KB), pp. 504–507.
MSRMSR-2013-MukadamBR #android #bibliography #code review
Gerrit software code review data from Android (MM, CB, PCR), pp. 45–48.
MSRMSR-2013-RobbesR #developer #interactive #metric #using
Using developer interaction data to compare expertise metrics (RR, DR), pp. 297–300.
PASTEPASTE-2013-VitasekBH #java #named
ShadowData: shadowing heap objects in Java (MV, WB, MH), pp. 17–24.
WCREWCRE-2013-DucheneRRG #black box #data flow #detection #modelling #named
LigRE: Reverse-engineering of control and data flow models for black-box XSS detection (FD, SR, JLR, RG), pp. 252–261.
WCREWCRE-2013-HallerSB #c #c++ #data type #detection #named
MemPick: High-level data structure detection in C/C++ binaries (IH, AS, HB), pp. 32–41.
WCREWCRE-2013-HallerSB13a #data type #detection #named
MemPick: A tool for data structure detection (IH, AS, HB), pp. 479–480.
PLDIPLDI-2013-ElwazeerAKSB #data type #detection #scalability
Scalable variable and data type detection in a binary rewriter (KE, KA, AK, MS, RB), pp. 51–60.
PLDIPLDI-2013-GordonEG #alias #refinement
Rely-guarantee references for refinement types over aliased mutable data (CSG, MDE, DG), pp. 73–84.
PLDIPLDI-2013-Qiu0SM #proving
Natural proofs for structure, data, and separation (XQ, PG, AS, PM), pp. 231–242.
PLDIPLDI-2013-YuKL #data type #multi #thread
General data structure expansion for multi-threading (HY, HJK, ZL), pp. 243–252.
SASSAS-2013-0001MP #abstract domain #automaton #quantifier
Quantified Data Automata on Skinny Trees: An Abstract Domain for Lists (PG, PM, GP), pp. 172–193.
SASSAS-2013-DragoiES #analysis #data type
Local Shape Analysis for Overlaid Data Structures (CD, CE, MS), pp. 150–171.
STOCSTOC-2013-BitanskyCCT #composition #recursion
Recursive composition and bootstrapping for SNARKS and proof-carrying data (NB, RC, AC, ET), pp. 111–120.
DLTDLT-2013-LibkinTV #database #graph #query #regular expression #word
Regular Expressions with Binding over Data Words for Querying Graph Databases (LL, TT, DV), pp. 325–337.
ICALPICALP-v2-2013-BachrachP #big data #performance #pseudo #recommendation #sketching #using
Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints (YB, EP), pp. 459–471.
IFMIFM-2013-OlderogS #realtime
Structural Transformations for Data-Enriched Real-Time Systems (ERO, MS), pp. 378–393.
IFLIFL-2013-GrelckW #adaptation #array #functional #generative #performance
Next Generation Asynchronous Adaptive Specialization for Data-Parallel Functional Array Processing in SAC: Accelerating the Availability of Specialized High Performance Code (CG, HW), p. 117.
CHICHI-2013-BirnbaumBFDK #behaviour #identification #using
Using behavioral data to identify interviewer fabrication in surveys (BEB, GB, ADF, BD, ARK), pp. 2911–2920.
CHICHI-2013-CurmiFSW13a #named #network #social
HeartLink: open broadcast of live biometric data to social networks (FC, MAF, JS, JW), pp. 1749–1758.
CHICHI-2013-DruckerFSHs #case study #data analysis #interface #named
TouchViz: a case study comparing two interfaces for data analytics on tablets (SMD, DF, RS, JH, MMCS), pp. 2301–2310.
CHICHI-2013-FuchsFMBI #design #evaluation #multi
Evaluation of alternative glyph designs for time series data in a small multiple setting (JF, FF, FM, EB, PI), pp. 3237–3246.
CHICHI-2013-GulottaOFF #legacy
Digital artifacts as legacy: exploring the lifespan and value of digital data (RG, WO, JF, HF), pp. 1813–1822.
CHICHI-2013-HarpsteadMA #data analysis #education #game studies #learning
In search of learning: facilitating data analysis in educational games (EH, BAM, VA), pp. 79–88.
CHICHI-2013-JacobsBSGPG #what
A conversation between trees: what data feels like in the forest (RJ, SB, MS, MG, DP, GG), pp. 129–138.
CHICHI-2013-KatoSI #named #representation #source code
Picode: inline photos representing posture data in source code (JK, DS, TI), pp. 3097–3100.
CHICHI-2013-KleekSPSS #information management #integration
Carpé data: supporting serendipitous data integration in personal information management (MVK, DAS, HSP, JS, NRS), pp. 2339–2348.
CHICHI-2013-MarcuTCGRSDK #comprehension #education #why
Why do they still use paper?: understanding data collection and use in Autism education (GM, KT, QC, JG, GR, KJS, AKD, SBK), pp. 3177–3186.
CHICHI-2013-OgataSOI #communication #named
FlashTouch: data communication through touchscreens (MO, YS, HO, MI), pp. 2321–2324.
CHICHI-2013-RonenRJT #how #question
Taking data exposure into account: how does it affect the choice of sign-in accounts? (SR, OR, MJ, DT), pp. 3423–3426.
CHICHI-2013-SenJHBC
When the price is right: enabling time-dependent pricing of broadband data (SS, CJW, SH, JB, MC), pp. 2477–2486.
CSCWCSCW-2013-BrushJMM
Digital neighborhood watch: investigating the sharing of camera data amongst neighbors (AJBB, JJ, RM, FM), pp. 693–700.
CSCWCSCW-2013-KimMP #authoring #flexibility #framework #mobile #named #tool support
Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science (SK, JM, EP), pp. 1453–1462.
CSCWCSCW-2013-MinWHZ #mining #smarttech #social
Mining smartphone data to classify life-facets of social relationships (JKM, JW, JIH, JZ), pp. 285–294.
CSCWCSCW-2013-RollandL #collaboration #reliability #research #reuse #trust
Beyond trust and reliability: reusing data in collaborative cancer epidemiology research (BR, CPL), pp. 435–444.
HCIDUXU-NTE-2013-InoueHNNN #interactive #mobile
Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors (SI, KH, MN, YN, NN), pp. 280–289.
HCIDUXU-PMT-2013-CamposLNCS #process
The Conjunction Fallacy and Its Impacts in the User’s Data Acquisition Process (FC, DL, MN, WC, MMS), pp. 203–211.
HCIDUXU-PMT-2013-ChynalSS #data analysis #evaluation #eye tracking #usability #using
Remote Usability Evaluation Using Eye Tracking Enhanced with Intelligent Data Analysis (PC, JS, JMS), pp. 212–221.
HCIDUXU-WM-2013-Gould #network
Dot, Line, Network: Helping Individuals Make Sense of “New Data” (EWG), pp. 496–505.
HCIDUXU-WM-2013-LiuVMM #big data #design #experience #framework #interactive #mining #visualisation
Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform (QL, MV, KPCM, AFM), pp. 543–552.
HCIDUXU-WM-2013-SpiliotopoulosBKST #design #interface #retrieval #social #testing #usability #web
Usability Design and Testing of an Interface for Search and Retrieval of Social Web Data (DS, RB, GK, PS, DT), pp. 575–580.
HCIHCI-AMTE-2013-BorsciMB #assessment #data transformation
A Grounded Procedure for Managing Data and Sample Size of a Home Medical Device Assessment (SB, JLM, JB), pp. 166–175.
HCIHCI-AS-2013-KosnikH #data transformation #design #framework #health #interface #monitoring
Design and Interface Considerations for Web-Enabled Data Management in Civil Infrastructure Health Monitoring (DEK, LJH), pp. 107–116.
HCIHCI-UC-2013-EumanA #case study #experience #user interface #visualisation
Data Visualisation, User Experience and Context: A Case Study from Fantasy Sport (RE, JLAN), pp. 146–155.
HCIHCI-UC-2013-ParkG #case study #data-driven
An Exploratory Study to Understand Knowledge-Sharing in Data-Intensive Science (JP, JLG), pp. 217–226.
HCIHIMI-D-2013-ChamberlainCDGRTJ #community #design #named #ubiquitous
Placebooks: Participation, Community, Design, and Ubiquitous Data Aggregation “In the Wild” (AC, AC, MD, KG, SR, PT, MJ), pp. 411–420.
HCIHIMI-D-2013-HungCLC #human-computer #interface #novel #web
A Novel Human-Computer Interface for Browsing Web Data by Leaping Up Web Pages (CLH, CC, CCL, HCC), pp. 197–202.
HCIHIMI-D-2013-KlomannM #approach #interactive #named #prototype
Freiform: A SmartPen Based Approach for Creating Interactive Paper Prototypes for Collecting Data (MK, JTM), pp. 316–321.
HCIHIMI-HSM-2013-KimKL #design #standard #verification
Designing and Verifying Application Schema by Applying Standard Element for Managing Ocean Observation Data (STK, LKK, TYL), pp. 110–115.
HCIHIMI-HSM-2013-LeeJ #analysis #simulation #using
Task Analysis of Soft Control Operations Using Simulation Data in Nuclear Power Plants (SJL, WJ), pp. 524–529.
HCIHIMI-HSM-2013-Noda #analysis #industrial #monitoring #performance #statistics
Performance Monitoring of Industrial Plant Alarm Systems by Statistical Analysis of Plant Operation Data (MN), pp. 131–135.
HCIHIMI-HSM-2013-SaitohI #detection #learning #using #visualisation
Visualization of Anomaly Data Using Peculiarity Detection on Learning Vector Quantization (FS, SI), pp. 181–188.
CAiSECAiSE-2013-BarhamgiBOCCMT #execution #privacy
Secure and Privacy-Preserving Execution Model for Data Services (MB, DB, SO, NCB, FC, MM, HT), pp. 35–50.
CAiSECAiSE-2013-ChatzikonstantinouKA #data analysis #framework
A Goal Driven Framework for Software Project Data Analytics (GC, KK, IMA), pp. 546–561.
CAiSECAiSE-2013-MaurinoVV #case study
Coopetitive Data Warehouse: A Case Study (AM, CV, GV), pp. 482–497.
CAiSECAiSE-2013-RiemerSS #design #performance
A Methodology for Designing Events and Patterns in Fast Data Processing (DR, NS, LS), pp. 133–148.
CAiSECAiSE-2013-SenG #case study #data-driven #interactive #testing
Testing a Data-Intensive System with Generated Data Interactions — The Norwegian Customs and Excise Case Study (SS, AG), pp. 657–671.
EDOCEDOC-2013-0001W #modelling #process
Extracting Data Objects and Their States from Process Models (AM, MW), pp. 27–36.
EDOCEDOC-2013-BerryM #data type #health #legacy #monitoring #quality #realtime
Real-Time Analytics for Legacy Data Streams in Health: Monitoring Health Data Quality (AB, ZM), pp. 91–100.
ICEISICEIS-J-2013-BevacquaCFGP13a #data-driven #framework #monitoring #predict #process
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances (AB, MC, FF, MG, LP), pp. 100–117.
ICEISICEIS-J-2013-GiordanoTSAF13a #approach #architecture #case study #enterprise #ontology #semantics
Joining Data and Maps in the Government Enterprise Architecture by a Semantic Approach: Methodology, Ontology and Case Study (DG, AT, CS, SA, AF), pp. 506–519.
ICEISICEIS-v1-2013-al-KetbiC #data mining #integration #mining
Integration of Decision Support Systems and Data Mining for Improved Decision Making (OaK, MC), pp. 482–489.
ICEISICEIS-v1-2013-AndradeRYS #data-driven #database #novel #similarity
A Novel Method for Similarity Search over Meteorological Time Series Data based on the Coulomb’s Law (CGdA, MXR, CAY, MTPS), pp. 209–216.
ICEISICEIS-v1-2013-BevacquaCFGP #abstraction #adaptation #approach #predict #process
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances (AB, MC, FF, MG, LP), pp. 56–65.
ICEISICEIS-v1-2013-BudiM #communication #mobile #scheduling
Scheduling Data Communication based Services on the Personal Mobile Devices (SB, VM), pp. 401–408.
ICEISICEIS-v1-2013-CazzolatoRYS #algorithm #classification #data type #statistics
A Statistical Decision Tree Algorithm for Data Stream Classification (MTC, MXR, CAY, MTPS), pp. 217–223.
ICEISICEIS-v1-2013-GiordanoTACF #database #distributed #framework #semantics
Integrating Distributed Data Bases in a Semantic Framework — The K-Metropolis Project (DG, AT, SA, AC, AF), pp. 322–328.
ICEISICEIS-v1-2013-GrabisK #integration #on-demand
On-demand Data Integration for Decision-making Applications (JG, JK), pp. 201–208.
ICEISICEIS-v1-2013-HayashiK #optimisation #performance
Data Location Optimization Method to Improve Tiered Storage Performance (SH, NK), pp. 112–119.
ICEISICEIS-v1-2013-KozminaNG #concept #requirements
Deriving the Conceptual Model of a Data Warehouse from Information Requirements (NK, LN, MG), pp. 136–144.
ICEISICEIS-v1-2013-MagalhaesMVMMPC #distributed #linked data #named #open data #query
QEF-LD — A Query Engine for Distributed Query Processing on Linked Data (RPM, JMM, VMPV, JAFdM, MM, FP, MAC), pp. 185–192.
ICEISICEIS-v1-2013-Pankowski #knowledge base #relational #web
Data Exchange between Relational Knowledge Bases in the Web of Data (TP), pp. 304–309.
ICEISICEIS-v1-2013-PiazzaR #implementation #modelling #multi #problem
Bridging the Gap between Multidimensional Business Problem Formulation and the Implementation of Multidimensional Data Models (FP, FR), pp. 79–87.
ICEISICEIS-v1-2013-RodriguesAGSCS #case study #data flow #data transformation #semistructured data
Integrated Data Management — A Case Study in Heterogeneous Data Sources in Brazilian Government (SAR, MA, AFG, RTdS, MC, JMdS), pp. 316–321.
ICEISICEIS-v1-2013-ShamsuzzohaAH #adaptation #enterprise #process
Adaptive Virtual Enterprise Process Management — Perspective of Cloud-based Data Storage (AS, SA, PH), pp. 88–94.
ICEISICEIS-v1-2013-ZaamouneBPB #analysis #approach #multi #relational
A New Relational Spatial OLAP Approach for Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data (MZ, SB, FP, PB), pp. 145–152.
ICEISICEIS-v2-2013-CuzzocreaF #analysis #comparative #exclamation #metamodelling #power of #state of the art
Comparative Analysis of State-of-the-Art Spatial Data Warehouse Meta-models — Catching the Expressive Power of SDW Schemas! (AC, RdNF), pp. 302–309.
ICEISICEIS-v2-2013-DobsonSO #case study #ontology
Data, Ontologies and Decision Making — An Inter-disciplinary Case Study (SD, AS, TO), pp. 563–568.
ICEISICEIS-v2-2013-Milosz #case study #enterprise #legacy #performance #testing #using
Performance Testing of New Enterprise Applications using Legacy Load Data — A HIS Case Study (MM), pp. 151–156.
ICEISICEIS-v2-2013-OBrienSH #framework #quality
The Value of Good Data — A Quality Perspective — A Framework for Discussion (TO, AS, MH), pp. 555–562.
ICEISICEIS-v2-2013-RibeiroSFO #concept #constraints #ocl #validation
Extending OCL to Specify and Validate Integrity Constraints in UML-GeoFrame Conceptual Data Model (AAdAR, SMS, JLF, ILO), pp. 286–293.
ICEISICEIS-v2-2013-Vagale
ePortfolio Data Utilization in LMS Learner Model (VV), pp. 489–496.
ICEISICEIS-v2-2013-ZhangWSP #linked data #network #open data #recommendation #social
Event Recommendation in Social Networks with Linked Data Enablement (YZ, HW, VSS, VKP), pp. 371–379.
ICEISICEIS-v3-2013-GiordanoTSAF #approach #architecture #case study #enterprise #ontology
An Ontology based Approach to Integrate Data and Maps — In the Government Enterprise Architecture: A Case Study (DG, AT, CS, SA, AF), pp. 356–362.
CIKMCIKM-2013-BarahmandGY #comparison #design #interactive #network #physics #social
A comparison of two physical data designs for interactive social networking actions (SB, SG, JY), pp. 949–958.
CIKMCIKM-2013-ChengCLWAC #data type #learning #multi
Feedback-driven multiclass active learning for data streams (YC, ZC, LL, JW, AA, ANC), pp. 1311–1320.
CIKMCIKM-2013-ChristenV #flexibility #generative
Flexible and extensible generation and corruption of personal data (PC, DV), pp. 1165–1168.
CIKMCIKM-2013-DerakhshanSS #data type #performance #streaming
A new operator for efficient stream-relation join processing in data streaming engines (RD, AS, BS), pp. 793–798.
CIKMCIKM-2013-FinisRABKF #detection #flexibility #named #performance
RWS-Diff: flexible and efficient change detection in hierarchical data (JPF, MR, NA, RB, AK, FF), pp. 339–348.
CIKMCIKM-2013-Giles #big data #data mining #information management #mining
Scholarly big data: information extraction and data mining (CLG), pp. 1–2.
CIKMCIKM-2013-Halevy #web
Structured data in web search (AYH), pp. 7–8.
CIKMCIKM-2013-KharitonovMSO #using
Using historical click data to increase interleaving sensitivity (EK, CM, PS, IO), pp. 679–688.
CIKMCIKM-2013-KimCHZRD #feedback #mining #modelling #topic
Mining causal topics in text data: iterative topic modeling with time series feedback (HDK, MC, MH, CZ, TAR, DD), pp. 885–890.
CIKMCIKM-2013-ParameswaranKA #performance
Efficient parsing-based search over structured data (AGP, RK, AA), pp. 49–58.
CIKMCIKM-2013-RothK #modelling #quality
Feature-based models for improving the quality of noisy training data for relation extraction (BR, DK), pp. 1181–1184.
CIKMCIKM-2013-WangLZ #approach #graph #metric #multi #random #towards
Towards metric fusion on multi-view data: a cross-view based graph random walk approach (YW, XL, QZ), pp. 805–810.
CIKMCIKM-2013-XieSYPZ #correlation #detection #streaming
Local correlation detection with linearity enhancement in streaming data (QX, SS, BY, CP, XZ), pp. 309–318.
CIKMCIKM-2013-YahyaBEW #linked data #open data #robust #web
Robust question answering over the web of linked data (MY, KB, SE, GW), pp. 1107–1116.
CIKMCIKM-2013-ZhiltsovA #linked data #modelling #open data #semantics
Improving entity search over linked data by modeling latent semantics (NZ, EA), pp. 1253–1256.
ECIRECIR-2013-BronBR #web
Example Based Entity Search in the Web of Data (MB, KB, MdR), pp. 392–403.
ECIRECIR-2013-GaoDGG #modelling #relational
Latent Factor BlockModel for Modelling Relational Data (SG, LD, PG, JG), pp. 447–458.
ECIRECIR-2013-GligorovHOAS #evaluation #retrieval #video
An Evaluation of Labelling-Game Data for Video Retrieval (RG, MH, JvO, LA, GS), pp. 50–61.
ECIRECIR-2013-LiangRT #data fusion #microblog
Late Data Fusion for Microblog Search (SL, MdR, MT), pp. 743–746.
ECIRECIR-2013-MeloH #web
Searching the Web of Data (GdM, KH), pp. 869–873.
ECIRECIR-2013-NikoulinaC #adaptation #information retrieval #modelling #statistics
Domain Adaptation of Statistical Machine Translation Models with Monolingual Data for Cross Lingual Information Retrieval (VN, SC), pp. 768–771.
ICMLICML-c1-2013-ChenC13a
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery (YC, CC), pp. 383–391.
ICMLICML-c1-2013-HanL13a #analysis #component
Principal Component Analysis on non-Gaussian Dependent Data (FH, HL), pp. 240–248.
ICMLICML-c1-2013-OstingBO #ranking #statistics
Enhanced statistical rankings via targeted data collection (BO, CB, SO), pp. 489–497.
ICMLICML-c1-2013-Shin #design #future of #kernel
A New Frontier of Kernel Design for Structured Data (KS), pp. 401–409.
ICMLICML-c2-2013-MeentBWGW #learning #markov #modelling
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data (JWvdM, JEB, FW, RLG, CW), pp. 361–369.
ICMLICML-c3-2013-BalcanBM #learning #ontology
Exploiting Ontology Structures and Unlabeled Data for Learning (NB, AB, YM), pp. 1112–1120.
ICMLICML-c3-2013-DingRIS #random #topic
Topic Discovery through Data Dependent and Random Projections (WD, MHR, PI, VS), pp. 1202–1210.
ICMLICML-c3-2013-GuptaAM #image
Natural Image Bases to Represent Neuroimaging Data (AG, MA, AM), pp. 987–994.
ICMLICML-c3-2013-HuangS #learning #markov #modelling
Spectral Learning of Hidden Markov Models from Dynamic and Static Data (TKH, JGS), pp. 630–638.
ICMLICML-c3-2013-KolarLX #estimation #markov #multi #network
Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.
ICMLICML-c3-2013-KolmogorovT #algorithm #sequence
Inference algorithms for pattern-based CRFs on sequence data (RT, VK), pp. 145–153.
ICMLICML-c3-2013-XuZZ #matrix #performance
Fast Max-Margin Matrix Factorization with Data Augmentation (MX, JZ, BZ), pp. 978–986.
KDDKDD-2013-BakshyE #evaluation #nondeterminism #online
Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods (EB, DE), pp. 1303–1311.
KDDKDD-2013-CannyZ #big data #data analysis
Big data analytics with small footprint: squaring the cloud (JC, HZ), pp. 95–103.
KDDKDD-2013-ChandolaSS #information management
Knowledge discovery from massive healthcare claims data (VC, SRS, JCS), pp. 1312–1320.
KDDKDD-2013-CuiJYWZY #approach #data-driven #network #predict
Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDDKDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data #topic
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data (MD, CW, FT, SN, GC, ND, LW, JH), pp. 1458–1461.
KDDKDD-2013-DavidsonGCW #analysis #network
Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.
KDDKDD-2013-EmersonWN #data mining #mining #profiling
A data mining driven risk profiling method for road asset management (DE, JW, RN), pp. 1267–1275.
KDDKDD-2013-FeiKSNMH #detection #learning
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning (HF, YK, SS, MRN, SKM, JH), pp. 1330–1338.
KDDKDD-2013-GaneshapillaiG #data-driven
A data-driven method for in-game decision making in MLB: when to pull a starting pitcher (GG, JVG), pp. 973–979.
KDDKDD-2013-GetoorM #big data
Entity resolution for big data (LG, AM), p. 1527.
KDDKDD-2013-GundechaRFL #social #social media
A tool for collecting provenance data in social media (PG, SR, ZF, HL), pp. 1462–1465.
KDDKDD-2013-JohnsonS #data analysis #privacy
Privacy-preserving data exploration in genome-wide association studies (AJ, VS), pp. 1079–1087.
KDDKDD-2013-KermanyMBNM #analysis #framework
Analysis of advanced meter infrastructure data of water consumption in apartment buildings (EK, HM, DB, YN, HM), pp. 1159–1167.
KDDKDD-2013-LeeAC #realtime #twitter #using
Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.
KDDKDD-2013-LuceyOCRM #using
Assessing team strategy using spatiotemporal data (PL, DO, GPKC, JR, IM), pp. 1366–1374.
KDDKDD-2013-MorstatterKLM #comprehension #twitter
Understanding Twitter data with TweetXplorer (FM, SK, HL, RM), pp. 1482–1485.
KDDKDD-2013-NaganoITUA #modelling #parametricity
Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival data (SN, YI, NT, TU, MA), pp. 668–676.
KDDKDD-2013-Neumann #big data #problem #using
Using “big data” to solve “small data” problems (CN), p. 1140.
KDDKDD-2013-PapadimitriouE #bibliography #mining #mobile
Mining data from mobile devices: a survey of smart sensing and analytics (SP, TER), p. 1524.
KDDKDD-2013-RamanSGJ #big data #pipes and filters
Beyond myopic inference in big data pipelines (KR, AS, JG, TJ), pp. 86–94.
KDDKDD-2013-Schadt #mining #personalisation
Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.
KDDKDD-2013-SunR #big data #data analysis
Big data analytics for healthcare (JS, CKR), p. 1525.
KDDKDD-2013-TangYGHLP #cyber-physical #mining
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system (LAT, XY, QG, JH, AL, TFLP), pp. 410–418.
KDDKDD-2013-TaoLHZCDDDGJKKLLLLOSTWZZ #mining #multi #named
EventCube: multi-dimensional search and mining of structured and text data (FT, KHL, JH, CZ, XC, MD, ND, BD, JG, HJ, RK, AK, QL, YL, CXL, JL, NCO, ANS, RT, CW, DZ, BZ), pp. 1494–1497.
KDDKDD-2013-Varian #predict
Predicting the present with search engine data (HV), p. 4.
KDDKDD-2013-WangDYWCSI #clustering #data mining #framework #identification #mining #towards
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification (DW, WD, KY, XW, PC, DLS, SI), pp. 1285–1293.
KDDKDD-2013-Wright #data analysis #learning #optimisation
Optimization in learning and data analysis (SJW), p. 3.
KDDKDD-2013-WuNTWXX #framework #privacy
A privacy preserving framework for managing vehicle data in road pricing systems (HW, WSN, KLT, WW, SX, MX), pp. 1427–1435.
KDDKDD-2013-XiangYFWTY #learning #multi #predict
Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.
KDDKDD-2013-YangCA #social
Estimating sharer reputation via social data calibration (JY, BCC, DA), pp. 59–67.
KDDKDD-2013-ZengJZLLLSZLDLW #data mining #distributed #mining #named #performance
FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment (CZ, YJ, LZ, JL, LL, HL, CS, WZ, TL, BD, ML, PW), pp. 1506–1509.
KDDKDD-2013-ZhengLH #big data #named #quality
U-Air: when urban air quality inference meets big data (YZ, FL, HPH), pp. 1436–1444.
KDDKDD-2013-ZhouLSYWY #identification #named
FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
KDIRKDIR-KMIS-2013-DuarteFD #clustering #constraints #using #validation
Data Clustering Validation using Constraints (JMMD, ALNF, FJFD), pp. 17–27.
KDIRKDIR-KMIS-2013-Karacapilidis #collaboration #data-driven
Mastering Data-Intensive Collaboration and Decision Making (NIK), pp. 1–11.
KDIRKDIR-KMIS-2013-LlavoriLGNAS #analysis #framework #named #sentiment #towards
i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data (RBL, DML, LGM, VN, MJA, IS), pp. 214–219.
KDIRKDIR-KMIS-2013-PereiraRT #data mining #mining #source code #student
Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs (RTP, ACR, JJT), pp. 136–142.
KEODKEOD-2013-AlirezaieL #abduction #automation #data type #reasoning #using
Automatic Annotation of Sensor Data Streams using Abductive Reasoning (MA, AL), pp. 345–354.
KEODKEOD-2013-HlomaniS #data-driven #evaluation #ontology #perspective #workflow
Contributing Evidence to Data-driven Ontology Evaluation — Workflow Ontologies Perspective (HH, DAS), pp. 207–213.
KEODKEOD-2013-TodescoBZTG #data analysis
Linked Open Government Data Research Panorama (BT, BB, AZ, JLT, FOG), pp. 278–285.
MLDMMLDM-2013-CarvalhoR #bibliography #nondeterminism #perspective
Discovering Frequent Itemsets on Uncertain Data: A Systematic Review (JVdC, DDR), pp. 390–404.
MLDMMLDM-2013-GaoD #data mining #distributed #mining #performance #using
Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow (JG, JD), pp. 69–83.
MLDMMLDM-2013-HuSAD #network #performance #statistics
Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data (KH, AS, DA, CD), pp. 601–615.
MLDMMLDM-2013-NikovskiWESSMT #data analysis #detection
Smart Meter Data Analysis for Power Theft Detection (DNN, ZW, AE, HS, KS, TM, KT), pp. 379–389.
MLDMMLDM-2013-Suthaharan #big data #classification #network
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.
MLDMMLDM-2013-ValencioKMSM #3d #data mining #mining #visualisation
3D Geovisualisation Techniques Applied in Spatial Data Mining (CRV, TK, CAdM, RCGdS, JMM), pp. 57–68.
RecSysRecSys-2013-ChowJKS #data analysis #difference #recommendation
Differential data analysis for recommender systems (RC, HJ, BPK, GS), pp. 323–326.
RecSysRecSys-2013-Guo #recommendation #similarity #trust
Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems (GG), pp. 451–454.
RecSysRecSys-2013-KhroufT #hybrid #linked data #open data #recommendation #using
Hybrid event recommendation using linked data and user diversity (HK, RT), pp. 185–192.
RecSysRecSys-2013-OstuniNSM #feedback #linked data #open data #recommendation
Top-N recommendations from implicit feedback leveraging linked open data (VCO, TDN, EDS, RM), pp. 85–92.
RecSysRecSys-2013-ShiKBLH #multi #named #optimisation #rank
xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance (YS, AK, LB, ML, AH), pp. 431–434.
RecSysRecSys-2013-ZhengI #effectiveness
Effectiveness of the data generated on different time in latent factor model (QZ, HHSI), pp. 327–330.
SEKESEKE-2013-GaoKN #estimation #preprocessor #quality
Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation (KG, TMK, AN), pp. 612–617.
SEKESEKE-2013-Khoshgoftaar #big data #challenge
Overcoming Big Data Challenges (TMK).
SEKESEKE-2013-Plante #web #web service
Synchronized Data Acquisition from Web Services Serving at Disparate Rates (DRP), pp. 542–547.
SEKESEKE-2013-StringfellowRVM #comparison #multi #set
Comparison of SRGMs and NNEs on Multiple Data Sets (CS, SR, RVT, SM), pp. 618–623.
SEKESEKE-2013-WangKWN #case study #feature model #first-order #metric #statistics
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data (HW, TMK, RW, AN), pp. 467–472.
SIGIRSIGIR-2013-AgeevLA #behaviour #summary #using
Improving search result summaries by using searcher behavior data (MA, DL, EA), pp. 13–22.
SIGIRSIGIR-2013-BuccioNS #linked data #open data #web
A geolinguistic web application based on linked open data (EDB, GMDN, GS), pp. 1101–1102.
SIGIRSIGIR-2013-DemidovaZN #performance #query #scalability
Efficient query construction for large scale data (ED, XZ, WN), pp. 573–582.
SIGIRSIGIR-2013-FreitasFOC #approach #graph #linked data #natural language #open data #query #semantics
Answering natural language queries over linked data graphs: a distributional semantics approach (AF, FFdF, SO, EC), pp. 1107–1108.
SIGIRSIGIR-2013-GuoJLYA #interactive #mining #mobile #predict #web
Mining touch interaction data on mobile devices to predict web search result relevance (QG, HJ, DL, SY, EA), pp. 153–162.
SIGIRSIGIR-2013-Hauff #case study
A study on the accuracy of Flickr’s geotag data (CH), pp. 1037–1040.
SIGIRSIGIR-2013-Smith #big data #multi
Riding the multimedia big data wave (JRS), pp. 1–2.
BXBX-2013-RajkumarFLC #lens #web
Lenses for Web Data (RR, NF, SL, JC), pp. 90–110.
MODELSMoDELS-2013-SaadB #analysis #data flow
Data-Flow Based Model Analysis and Its Applications (CS, BB), pp. 707–723.
MODELSMoDELS-2013-SaadB #analysis #data flow
Data-Flow Based Model Analysis and Its Applications (CS, BB), pp. 707–723.
OOPSLAOOPSLA-2013-ChongDKKQ #abstraction #analysis #gpu #invariant #kernel
Barrier invariants: a shared state abstraction for the analysis of data-dependent GPU kernels (NC, AFD, PHJK, JK, SQ), pp. 605–622.
OOPSLAOOPSLA-2013-NorrisD #c #c++ #concurrent #data type #named
CDSchecker: checking concurrent data structures written with C/C++ atomics (BN, BD), pp. 131–150.
OOPSLAOOPSLA-2013-SharmaSCA #data-driven #equivalence
Data-driven equivalence checking (RS, ES, BRC, AA), pp. 391–406.
OOPSLAOOPSLA-2013-TreichlerBA #clustering
Language support for dynamic, hierarchical data partitioning (ST, MB, AA), pp. 495–514.
GPCEGPCE-2013-KurilovaR #data type #linked data #on the #open data
On the simplicity of synthesizing linked data structure operations (DK, DR), pp. 155–158.
PPDPPPDP-2013-StewartBN #data flow #data type #dependent type #policy #semistructured data
Dependent types for enforcement of information flow and erasure policies in heterogeneous data structures (GS, AB, AN), pp. 145–156.
POPLPOPL-2013-FarzanKP #data flow #graph #induction
Inductive data flow graphs (AF, ZK, AP), pp. 129–142.
POPLPOPL-2013-HenzingerKPSS #concurrent #data type
Quantitative relaxation of concurrent data structures (TAH, CMK, HP, AS, AS), pp. 317–328.
POPLPOPL-2013-HoborV #data type
The ramifications of sharing in data structures (AH, JV), pp. 523–536.
POPLPOPL-2013-RompfSABJLJOO #compilation #data type #optimisation #source code #staging
Optimizing data structures in high-level programs: new directions for extensible compilers based on staging (TR, AKS, NA, KJB, VJ, HL, MJ, KO, MO), pp. 497–510.
SACSAC-2013-AlmeidaKG #data type #random
Random rules from data streams (EA, PK, JG), pp. 813–814.
SACSAC-2013-AnielloQB #data transformation
Input data organization for batch processing in time window based computations (LA, LQ, RB), pp. 363–370.
SACSAC-2013-BellatrecheBCM #algorithm #clustering #incremental #query
Horizontal partitioning of very-large data warehouses under dynamically-changing query workloads via incremental algorithms (LB, RB, AC, SM), pp. 208–210.
SACSAC-2013-BerralGT #automation #machine learning
Empowering automatic data-center management with machine learning (JLB, RG, JT), pp. 170–172.
SACSAC-2013-BifetPRH #adaptation #classification #data type #performance #probability
Efficient data stream classification via probabilistic adaptive windows (AB, BP, JR, GH), pp. 801–806.
SACSAC-2013-BurtiniFL #adaptation #data transfer #web
Reducing data transfer for charts on adaptive web sites (GB, SF, RL), pp. 865–867.
SACSAC-2013-FariaGC #algorithm #data type #detection #multi #problem
Novelty detection algorithm for data streams multi-class problems (ERF, JG, ACPLFC), pp. 795–800.
SACSAC-2013-FerreiraM
Estimating the size of data mart projects (WGF, HTMN), pp. 1147–1148.
SACSAC-2013-GholipourHB #adaptation #data type
An adaptive regression tree for non-stationary data streams (AG, MJH, HB), pp. 815–817.
SACSAC-2013-GouwBJW #case study #industrial #java #runtime #source code
Run-time checking of data- and protocol-oriented properties of Java programs: an industrial case study (SdG, FSdB, EBJ, PYHW), pp. 1573–1578.
SACSAC-2013-GrootGYNK #data-driven #distributed #modelling
Modeling I/O interference for data intensive distributed applications (SG, KG, DY, MN, MK), pp. 343–350.
SACSAC-2013-KawakamiIYT #communication #data type
A delivery method considering communication loads for sensor data stream with different collection cycles (TK, YI, TY, YT), pp. 611–618.
SACSAC-2013-KhaniHAB #algorithm #clustering #semistructured data #set
An algorithm for discovering clusters of different densities or shapes in noisy data sets (FK, MJH, AAA, HB), pp. 144–149.
SACSAC-2013-KolbR #abstraction #adaptation #data flow #process
Data flow abstractions and adaptations through updatable process views (JK, MR), pp. 1447–1453.
SACSAC-2013-KumarR #algorithm #data type #identification #online
Online identification of frequently executed acyclic paths by leveraging data stream algorithms (GK, SR), pp. 1694–1695.
SACSAC-2013-LeoniA #mining #process #using
Data-aware process mining: discovering decisions in processes using alignments (MdL, WMPvdA), pp. 1454–1461.
SACSAC-2013-LinCLG #approach #data-driven #distributed #learning #predict
Distributed dynamic data driven prediction based on reinforcement learning approach (SYL, KMC, CCL, NG), pp. 779–784.
SACSAC-2013-LommatzschKA #hybrid #learning #modelling #recommendation #semantics
Learning hybrid recommender models for heterogeneous semantic data (AL, BK, SA), pp. 275–276.
SACSAC-2013-MaiaB #modelling #network #performance #predict #query
Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks (JEBM, AB), pp. 554–559.
SACSAC-2013-Markovski #communication #coordination #probability #process #reliability
Reliable supervisory coordination of stochastic communicating processes with data (JM), pp. 1347–1354.
SACSAC-2013-MontaliCMM #constraints #towards
Towards data-aware constraints in declare (MM, FC, PM, FMM), pp. 1391–1396.
SACSAC-2013-MottaLNRJO #algorithm #clustering #relational
Comparing relational and non-relational algorithms for clustering propositional data (RM, AdAL, BMN, SOR, AMJ, MCFdO), pp. 150–155.
SACSAC-2013-PerazzoWM #framework
A data warehouse as an infrastructure to mine molecular descriptors for virtual screening (GXP, ATW, KSM), pp. 1335–1336.
SACSAC-2013-RubackPMOSC #linked data #open data #statistics
A mediator for statistical linked data (LR, MP, SM, SO, PERS, MAC), pp. 339–341.
SACSAC-2013-SaitoRFSG #approach #image #performance #reduction
A data reduction and organization approach for efficient image annotation (PTMS, PJdR, AXF, CTNS, JFG), pp. 53–57.
SACSAC-2013-TheodouliG #adaptation #data-driven #query #web #web service
Adaptive memory-aware chunk sizing techniques for data-intensive queries over web services (AT, AG), pp. 826–831.
SACSAC-2013-TripletB #benchmark #biology #framework #metric #named
BenchDW: a generic framework for biological data warehouse benchmarking (TT, GB), pp. 1328–1334.
SACSAC-2013-YeLZ #correlation #named
GCplace: geo-cloud based correlation aware data replica placement (ZY, SL, XZ), pp. 371–376.
SACSAC-2013-ZagareseCZAPB #data-driven #interactive #performance
Efficient data-intensive event-driven interaction in SOA (QZ, GC, EZ, IA, LP, FB), pp. 1907–1912.
SACSAC-2013-ZarembaBVH #as a service #in the cloud #linked data #open data
Matchmaking of IaaS cloud computing offers leveraging linked data (MZ, SB, TV, MH), pp. 383–388.
SACSAC-2013-ZengC #data fusion #matrix #recommendation #semistructured data
Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations (WZ, LC), pp. 237–244.
SACSAC-2013-ZhangHMZMM #data type #mining
Mining frequent itemsets over tuple-evolving data streams (CZ, YH, MM, CZ, HM, FM), pp. 267–274.
ESEC-FSEESEC-FSE-2013-ClaretRNGB #analysis #data flow #using
Bayesian inference using data flow analysis (GC, SKR, AVN, ADG, JB), pp. 92–102.
ESEC-FSEESEC-FSE-2013-LoharAZC #composition #data-driven
Improving trace accuracy through data-driven configuration and composition of tracing features (SL, SA, AZ, JCH), pp. 378–388.
ESEC-FSEESEC-FSE-2013-MusluBM #debugging #testing
Data debugging with continuous testing (KM, YB, AM), pp. 631–634.
ESEC-FSEESEC-FSE-2013-NguyenX #detection #named
Cachetor: detecting cacheable data to remove bloat (KN, G(X), pp. 268–278.
ESEC-FSEESEC-FSE-2013-PhamW #abstraction #algebra #data type #named #reasoning
RADA: a tool for reasoning about algebraic data types with abstractions (THP, MWW), pp. 611–614.
ICSEICSE-2013-BartensteinL #data-driven
Green streams for data-intensive software (TB, YDL), pp. 532–541.
ICSEICSE-2013-Baysal #development
Informing development decisions: from data to information (OB), pp. 1407–1410.
ICSEICSE-2013-Dagnino
Estimating software-intensive projects in the absence of historical data (AD), pp. 941–950.
ICSEICSE-2013-HermansSPD #clone detection #detection #spreadsheet #visualisation
Data clone detection and visualization in spreadsheets (FH, BS, MP, AvD), pp. 292–301.
ICSEICSE-2013-LiZLXLLX #distributed #source code
A characteristic study on failures of production distributed data-parallel programs (SL, HZ, HL, TX, HL, WL, TX), pp. 963–972.
ICSEICSE-2013-MarinoHDVTV #concurrent #detection #source code
Detecting deadlock in programs with data-centric synchronization (DM, CH, JD, MV, FT, JV), pp. 322–331.
ICSEICSE-2013-MenziesKPTM #re-engineering
Data science for software engineering (TM, EK, FP, BT, LLM), pp. 1484–1486.
ICSEICSE-2013-ShangJHAHM #big data #data analysis #developer
Assisting developers of big data analytics applications when deploying on hadoop clouds (WS, ZMJ, HH, BA, AEH, PM), pp. 402–411.
ICSEICSE-2013-Souza #predict #using
A proposal for the improvement of project’s cost predictability using EVM and historical data of cost (ADdS), pp. 1447–1449.
LDTALDTA-J-2009-LammelTK #fault #programming #source code #traversal
Programming errors in traversal programs over structured data (RL, SJT, MK), pp. 1770–1808.
ASPLOSASPLOS-2013-WesterDCFN #concurrent #detection
Parallelizing data race detection (BW, DD, PMC, JF, SN), pp. 27–38.
CGOCGO-2013-BardizbanyanGWSLMS #data access #performance #using
Improving data access efficiency by using a tagless access buffer (TAB) (AB, PG, DBW, MS, PLE, SAM, PS), p. 11.
CGOCGO-2013-GreweWO #parallel #source code
Portable mapping of data parallel programs to OpenCL for heterogeneous systems (DG, ZW, MFPO), p. 10.
CGOCGO-2013-LeeKGKA #architecture #convergence
Convergence and scalarization for data-parallel architectures (YL, RK, VG, SWK, KA), p. 11.
CGOCGO-2013-RenALMPS #data type #parallel
SIMD parallelization of applications that traverse irregular data structures (BR, GA, JRL, TM, TP, WS), p. 10.
CGOCGO-2013-ZhangM #named #parallel
Hidp: A hierarchical data parallel language (YZ, FM), p. 11.
HPCAHPCA-2013-CragoALP #energy #hybrid #latency #parallel #robust
Hybrid latency tolerance for robust energy-efficiency on 1000-core data parallel processors (NCC, OA, SSL, SJP), pp. 294–305.
HPCAHPCA-2013-FarooqKJ #branch #compilation #predict
Store-Load-Branch (SLB) predictor: A compiler assisted branch prediction for data dependent branches (MUF, K, LKJ), pp. 59–70.
HPCAHPCA-2013-HouJZQDWGZ #effectiveness
Cost effective data center servers (RH, TJ, LZ, PQ, JD, HW, XG, SZ), pp. 179–187.
HPCAHPCA-2013-LiZL #distributed #generative
Enabling distributed generation powered sustainable high-performance data center (CL, RZ, TL), pp. 35–46.
HPCAHPCA-2013-WangCWMZLN #architecture #execution #parallel
A multiple SIMD, multiple data (MSMD) architecture: Parallel execution of dynamic and static SIMD fragments (YW, SC, JW, JM, KZ, WL, XN), pp. 603–614.
HPDCHPDC-2013-LakshminarasimhanBPZJVPS #encoding #query #scalability
Scalable in situ scientific data encoding for analytical query processing (SL, DABI, SVP, XZ, JJ, VV, MEP, NFS), pp. 1–12.
HPDCHPDC-2013-SuAWMWA #dataset #distributed #using
Taming massive distributed datasets: data sampling using bitmap indices (YS, GA, JW, KM, JW, JPA), pp. 13–24.
HPDCHPDC-2013-XuS0 #big data #named
IBIS: interposed big-data I/O scheduler (YX, AS, MZ), pp. 109–110.
ISMMISMM-2013-BuBXC #big data #design
A bloat-aware design for big data applications (YB, VRB, G(X, MJC), pp. 119–130.
PPoPPPPoPP-2013-BergstromFRRRS #parallel
Data-only flattening for nested data parallelism (LB, MF, MR, JHR, SR, AS), pp. 81–92.
PPoPPPPoPP-2013-LiuDJK #architecture #layout #optimisation
Data layout optimization for GPGPU architectures (JL, WD, OJ, MTK), pp. 283–284.
PPoPPPPoPP-2013-ParkSI #concurrent #detection #scalability #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 #scalability
Swift/T: scalable data flow programming for many-task applications (JMW, TGA, MW, DSK, ELL, ITF), pp. 309–310.
PPoPPPPoPP-2013-WuZZJS #algorithm #analysis #complexity #design #gpu #memory management
Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU (BW, ZZ, EZZ, YJ, XS), pp. 57–68.
PPoPPPPoPP-2013-XiangS #compilation #concurrent #data type #performance
Compiler aided manual speculation for high performance concurrent data structures (LX, MLS), pp. 47–56.
SOSPSOSP-2013-BalakrishnanMWWPWDRZZ #data type #distributed #named
Tango: distributed data structures over a shared log (MB, DM, TW, MW, VP, MW, JDD, SR, TZ, AZ), pp. 325–340.
SOSPSOSP-2013-KasikciZC #concurrent #crowdsourcing #detection #named
RaceMob: crowdsourced data race detection (BK, CZ, GC), pp. 406–422.
CADECADE-2013-BaaderBL #data access #ontology
Temporalizing Ontology-Based Data Access (FB, SB, ML), pp. 330–344.
CAVCAV-2013-0001LMN #data type #invariant #learning #linear #quantifier
Learning Universally Quantified Invariants of Linear Data Structures (PG, CL, PM, DN), pp. 813–829.
CAVCAV-2013-ItzhakyBINS #data type #effectiveness #linked data #open data #reachability #reasoning
Effectively-Propositional Reasoning about Reachability in Linked Data Structures (SI, AB, NI, AN, MS), pp. 756–772.
ICSTICST-2013-BagnaraCGG #float #generative #source code #testing
Symbolic Path-Oriented Test Data Generation for Floating-Point Programs (RB, MC, RG, AG), pp. 1–10.
ICSTICST-2013-NetterGB #composition #framework #modelling #simulation #validation
Real-Data Validation of Simulation Models in a Function-Based Modular Framework (FN, FG, BB), pp. 41–47.
ISSTAISSTA-2013-Ghaith #analysis #performance #testing #transaction
Analysis of performance regression testing data by transaction profiles (SG), pp. 370–373.
ISSTAISSTA-2013-NijjarB
Data model property inference and repair (JN, TB), pp. 202–212.
LICSLICS-2013-DemriFP #reasoning
Reasoning about Data Repetitions with Counter Systems (SD, DF, MP), pp. 33–42.
LICSLICS-2013-GhaniMFS #data type
Fibred Data Types (NG, LM, FNF, AS), pp. 243–252.
WICSA-ECSAWICSA-ECSA-2012-BegoliH #big data #design #effectiveness #information management
Design Principles for Effective Knowledge Discovery from Big Data (EB, JLH), pp. 215–218.
ASEASE-2012-IbrahimGHA #ambiguity #analysis #kernel #operating system #points-to #using
Supporting operating system kernel data disambiguation using points-to analysis (ASI, JG, JHHH, MA), pp. 234–237.
ASEASE-2012-LuciaLJB #evolution #named #source code #testing
kbe-anonymity: test data anonymization for evolving programs (L, DL, LJ, AB), pp. 262–265.
ASEASE-2012-NijjarB #bound #smt #using #verification
Unbounded data model verification using SMT solvers (JN, TB), pp. 210–219.
CASECASE-2012-CostantinoDEFS #analysis #evaluation #fuzzy #novel #performance
A novel fuzzy Data Envelopment Analysis methodology for performance evaluation in a two-stage supply chain (NC, MD, NE, MF, FS), pp. 974–979.
CASECASE-2012-EndoNH #energy #estimation
Simplified Factory Energy Management System based on operational condition estimation by sensor data (ME, HN, YH), pp. 14–19.
CASECASE-2012-HoSY #data mining #mining #modelling
Data Mining of Life Log for Developing a User model-based Service Application (YH, ESS, TY), pp. 757–760.
CASECASE-2012-NganYY #modelling #process
Modeling of traffic data characteristics by Dirichlet Process Mixtures (HYTN, NHCY, AGOY), pp. 224–229.
CASECASE-2012-SchmidtH #automation #data transformation #fault
Managing data for a zero defect production — the contribution of manufacturing automation to a corporate strategy (GS, TH), pp. 70–73.
CASECASE-2012-YamaguchiIS #data-driven #database #fault #network
Data based construction of Bayesian Network for fault diagnosis of event-driven systems (TY, SI, TS), pp. 508–514.
CASECASE-2012-YangTCHC
A dual-forecast scheme for production output with paired/unpaired WIP data (HCY, THT, CYC, MHH, FTC), pp. 581–586.
CASECASE-2012-ZhaoLKH #data fusion #locality #simulation #using
A simulation study of sensor data fusion using UKF for bucket wheel reclaimer localization (SZ, TFL, BK, AH), pp. 1192–1197.
DACDAC-2012-Gester0NPSV #algorithm #data type #performance
Algorithms and data structures for fast and good VLSI routing (MG, DM, TN, CP, CS, JV), pp. 459–464.
DACDAC-2012-KahngLN #estimation #modelling
Explicit modeling of control and data for improved NoC router estimation (ABK, BL, SN), pp. 392–397.
DACDAC-2012-WangPYLKB #optimisation #testing
Test-data volume optimization for diagnosis (HW, OP, XY, SL, IK, RDB), pp. 567–572.
DACDAC-2012-WardDP #automation #evaluation #learning #named
PADE: a high-performance placer with automatic datapath extraction and evaluation through high dimensional data learning (SIW, DD, DZP), pp. 756–761.
DATEDATE-2012-AksanliRM #energy #network
Benefits of green energy and proportionality in high speed wide area networks connecting data centers (BA, TSR, IM), pp. 175–180.
DATEDATE-2012-DangWTLYW #energy #named #performance
S/DC: A storage and energy efficient data prefetcher (XD, XW, DT, JL, JY, KW), pp. 461–466.
DATEDATE-2012-FradetGP #data flow #named #parametricity
SPDF: A schedulable parametric data-flow MoC (PF, AG, PP), pp. 769–774.
DATEDATE-2012-MillerVG #automation #cyber-physical #mockup #named #testing #using
MEDS: Mockup Electronic Data Sheets for automated testing of cyber-physical systems using digital mockups (BM, FV, TG), pp. 1417–1420.
DATEDATE-2012-StattelmannGCBR #hybrid #modelling #simulation #using
Hybrid source-level simulation of data caches using abstract cache models (SS, GG, CC, OB, WR), pp. 376–381.
DATEDATE-2012-StipicTZCUV #data access #hardware #metadata #named #performance
TagTM — accelerating STMs with hardware tags for fast meta-data access (SS, ST, FZ, AC, OSÜ, MV), pp. 39–44.
DATEDATE-2012-WalravensD #architecture #design #energy
Design of a low-energy data processing architecture for WSN nodes (CW, WD), pp. 570–573.
DATEDATE-2012-YangCJTZ #multi #protocol #smarttech
A multi-parameter bio-electric ASIC sensor with integrated 2-wire data transmission protocol for wearable healthcare system (GY, JC, FJ, HT, LRZ), pp. 443–448.
HTHT-2012-ChairunnandaFD #graph #modelling #network #online #social
Graph data partition models for online social networks (PC, SF, KD), pp. 175–180.
HTHT-2012-CostabelloVDG #data access #framework #mobile #named #web
SHI3LD: an access control framework for the mobile web of data (LC, SV, ND, FG), pp. 311–312.
HTHT-2012-HartigF #execution #linked data #open data #query #traversal
Foundations of traversal based query execution over linked data (OH, JCF), pp. 43–52.
HTHT-2012-HartigH #linked data #modelling #open data #predict #query
Query prediction with context models for populating personal linked data caches (OH, TH), pp. 325–326.
HTHT-2012-JainHVYS #detection #linked data #open data
Moving beyond SameAs with PLATO: partonomy detection for linked data (PJ, PH, KV, PZY, APS), pp. 33–42.
PODSPODS-2012-Chaudhuri #big data #data transformation #research #what
What next?: a half-dozen data management research goals for big data and the cloud (SC), pp. 1–4.
PODSPODS-2012-KoutrisUBHS
Query-based data pricing (PK, PU, MB, BH, DS), pp. 167–178.
PODSPODS-2012-Mahoney #approximate #data analysis #scalability
Approximate computation and implicit regularization for very large-scale data analysis (MWM), pp. 143–154.
PODSPODS-2012-Nekrich #category theory
Space-efficient range reporting for categorical data (YN), pp. 113–120.
PODSPODS-2012-TirthapuraW #data type
Rectangle-efficient aggregation in spatial data streams (ST, DPW), pp. 283–294.
SIGMODSIGMOD-2012-AlagiannisBBIA #execution #named #performance #query
NoDB: efficient query execution on raw data files (IA, RB, MB, SI, AA), pp. 241–252.
SIGMODSIGMOD-2012-BalminKT #named
Clydesdale: structured data processing on hadoop (AB, TK, ST), pp. 705–708.
SIGMODSIGMOD-2012-ChengQR #big data #data analysis #named
GLADE: big data analytics made easy (YC, CQ, FR), pp. 697–700.
SIGMODSIGMOD-2012-DeutchM
Mob data sourcing (DD, TM), pp. 581–584.
SIGMODSIGMOD-2012-EngleLXZFSS #data analysis #distributed #memory management #named #performance #using
Shark: fast data analysis using coarse-grained distributed memory (CE, AL, RX, MZ, MJF, SS, IS), pp. 689–692.
SIGMODSIGMOD-2012-GiatrakosDGSS #data type #distributed #geometry #monitoring #predict
Prediction-based geometric monitoring over distributed data streams (NG, AD, MNG, IS, AS), pp. 265–276.
SIGMODSIGMOD-2012-Hanrahan #database
Analytic database technologies for a new kind of user: the data enthusiast (PH), pp. 577–578.
SIGMODSIGMOD-2012-HarthHS #data transformation #database #linked data #open data
Database techniques for linked data management (AH, KH, RS), pp. 597–600.
SIGMODSIGMOD-2012-KanneE #data-driven #declarative #fault #robust
Declarative error management for robust data-intensive applications (CCK, VE), pp. 205–216.
SIGMODSIGMOD-2012-MohanTSSC #data analysis #named #privacy
GUPT: privacy preserving data analysis made easy (PM, AT, ES, DS, DEC), pp. 349–360.
SIGMODSIGMOD-2012-MortonBMMS #integration
Dynamic workload driven data integration in tableau (KM, RB, JDM, RM, CS), pp. 807–816.
SIGMODSIGMOD-2012-ParameswaranGPPRW #algorithm #named
CrowdScreen: algorithms for filtering data with humans (AGP, HGM, HP, NP, AR, JW), pp. 361–372.
SIGMODSIGMOD-2012-PengYZWY #difference #multi #named #privacy
DP-tree: indexing multi-dimensional data under differential privacy (abstract only) (SP, YY, ZZ, MW, YY), p. 864.
SIGMODSIGMOD-2012-RosnerHGPB #correlation #performance #word
Fast sampling word correlations of high dimensional text data (abstract only) (FR, AH, MG, MP, AB), p. 866.
SIGMODSIGMOD-2012-SimitsisWCD #data flow #execution #multi #optimisation
Optimizing analytic data flows for multiple execution engines (AS, KW, MC, UD), pp. 829–840.
SIGMODSIGMOD-2012-Vahdat #data transformation #network
Symbiosis in scale out networking and data management (AV), pp. 579–580.
SIGMODSIGMOD-2012-Vaithyanathan #enterprise #social #social media
The value of social media data in enterprise applications (SV), pp. 755–756.
SIGMODSIGMOD-2012-YangZMWX #analysis #difference #privacy
Differential privacy in data publication and analysis (YY, ZZ, GM, MW, XX), pp. 601–606.
VLDBVLDB-2012-AbouziedHS #query #specification
Playful Query Specification with DataPlay (AA, JMH, AS), pp. 1938–1941.
VLDBVLDB-2012-AgarwalPMIMS #interactive #query #scalability
Blink and It’s Done: Interactive Queries on Very Large Data (SA, AP, BM, API, SM, IS), pp. 1902–1905.
VLDBVLDB-2012-AgrawalAW #in the cloud #perspective #privacy
Secure and Privacy-Preserving Data Services in the Cloud: A Data Centric View (DA, AEA, SW), pp. 2028–2029.
VLDBVLDB-2012-AlagiannisBBIA #adaptation #query
NoDB in Action: Adaptive Query Processing on Raw Data (IA, RB, MB, SI, AA), pp. 1942–1945.
VLDBVLDB-2012-AlexandrovTM #generative #named #scalability
Myriad: Scalable and Expressive Data Generation (AA, KT, VM), pp. 1890–1893.
VLDBVLDB-2012-AlsubaieeAABBBCGHKLOPVW #analysis #big data #data transformation #named #open source
ASTERIX: An Open Source System for “Big Data” Management and Analysis (SA, YA, HA, AB, VRB, YB, MJC, RG, ZH, YSK, CL, NO, PP, RV, JW), pp. 1898–1901.
VLDBVLDB-2012-ChenAK #big data #interactive #pipes and filters
Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads (YC, SA, RHK), pp. 1802–1813.
VLDBVLDB-2012-DalviMP #analysis #web
An Analysis of Structured Data on the Web (NND, AM, BP), pp. 680–691.
VLDBVLDB-2012-DasuL #statistics
Statistical Distortion: Consequences of Data Cleaning (TD, JML), pp. 1674–1683.
VLDBVLDB-2012-Dietrich #data analysis
Data Analytics Opportunities in a Smarter Planet (BD), p. 1697.
VLDBVLDB-2012-DittrichQ #big data #performance #pipes and filters
Efficient Big Data Processing in Hadoop MapReduce (JD, JAQR), pp. 2014–2015.
VLDBVLDB-2012-EberiusTBL #named #open data #web
DrillBeyond: Enabling Business Analysts to Explore the Web of Open Data (JE, MT, KB, WL), pp. 1978–1981.
VLDBVLDB-2012-EwenTKM #data flow #performance
Spinning Fast Iterative Data Flows (SE, KT, MK, VM), pp. 1268–1279.
VLDBVLDB-2012-FunkeKN #database #hybrid #transaction
Compacting Transactional Data in Hybrid OLTP & OLAP Databases (FF, AK, TN), pp. 1424–1435.
VLDBVLDB-2012-GulloT #clustering #nondeterminism
Uncertain Centroid based Partitional Clustering of Uncertain Data (FG, AT), pp. 610–621.
VLDBVLDB-2012-HueskePSRBKT #black box #data flow #optimisation
Opening the Black Boxes in Data Flow Optimization (FH, MP, MS, AR, RB, AK, KT), pp. 1256–1267.
VLDBVLDB-2012-Jensen #data transformation #web
Data Management on the Spatial Web (CSJ), p. 1696.
VLDBVLDB-2012-JestesPLT #ranking #scalability
Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
VLDBVLDB-2012-KoutrisUBHS #online
QueryMarket Demonstration: Pricing for Online Data Markets (PK, PU, MB, BH, DS), pp. 1962–1965.
VLDBVLDB-2012-LabrinidisJ #big data #challenge
Challenges and Opportunities with Big Data (AL, HVJ), pp. 2032–2033.
VLDBVLDB-2012-LamLPRVD #named #performance
Muppet: MapReduce-Style Processing of Fast Data (WL, LL, SP, AR, ZV, AD), pp. 1814–1825.
VLDBVLDB-2012-LeeLLLR #data analysis #framework #twitter
The Unified Logging Infrastructure for Data Analytics at Twitter (GL, JL, CL, AL, DVR), pp. 1771–1780.
VLDBVLDB-2012-LiarouIMK #named #online #streaming
MonetDB/DataCell: Online Analytics in a Streaming Column-Store (EL, SI, SM, MLK), pp. 1910–1913.
VLDBVLDB-2012-LiuLOSWZ #crowdsourcing #data analysis #named
CDAS: A Crowdsourcing Data Analytics System (XL, ML, BCO, YS, SW, MZ), pp. 1040–1051.
VLDBVLDB-2012-LuoLMCZ #data transformation #hybrid #named
hStorage-DB: Heterogeneity-aware Data Management to Exploit the Full Capability of Hybrid Storage Systems (TL, RL, MPM, FC, XZ), pp. 1076–1087.
VLDBVLDB-2012-MankuM #approximate #data type
Approximate Frequency Counts over Data Streams (GSM, RM), p. 1699.
VLDBVLDB-2012-MihaylovIG #named #recursion
REX: Recursive, Delta-Based Data-Centric Computation (SRM, ZGI, SG), pp. 1280–1291.
VLDBVLDB-2012-MorishimaSMAF #crowdsourcing #declarative #framework #named
CyLog/Crowd4U: A Declarative Platform for Complex Data-centric Crowdsourcing (AM, NS, TM, HA, SF), pp. 1918–1921.
VLDBVLDB-2012-MurthyDDHMPRS #data transformation #semistructured data
Exploiting Evidence from Unstructured Data to Enhance Master Data Management (KM, PMD, AD, RH, MKM, DP, JR, SS), pp. 1862–1873.
VLDBVLDB-2012-PapapetrouGD #data type #distributed #query #sketching
Sketch-based Querying of Distributed Sliding-Window Data Streams (OP, MNG, AD), pp. 992–1003.
VLDBVLDB-2012-RablSJGMM #big data #challenge #enterprise #performance
Solving Big Data Challenges for Enterprise Application Performance Management (TR, MS, HAJ, SGV, VMM, SM), pp. 1724–1735.
VLDBVLDB-2012-RoyDMSW #analysis
Massive Genomic Data Processing and Deep Analysis (AR, YD, EM, YS, BLW), pp. 1906–1909.
VLDBVLDB-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.
VLDBVLDB-2012-Shim #algorithm #big data #data analysis #pipes and filters
MapReduce Algorithms for Big Data Analysis (KS), pp. 2016–2017.
VLDBVLDB-2012-SunHYY #analysis #approach #mining #network
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDBVLDB-2012-WangHLWZS #cpu #gpu #hybrid #image
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems (KW, YH, RL, FW, XZ, JHS), pp. 1543–1554.
VLDBVLDB-2012-XuLGC #analysis #big data #clustering #in the cloud #interactive #named #visual notation
CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud (HX, ZL, SG, KC), pp. 1886–1889.
VLDBVLDB-2012-ZengJZ #logic #query
Adding Logical Operators to Tree Pattern Queries on Graph-Structured Data (QZ, XJ, HZ), pp. 728–739.
VLDBVLDB-2012-ZhaoRGH #approach #integration
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration (BZ, BIPR, JG, JH), pp. 550–561.
CSEETCSEET-2012-Virseda #algebra #data type #implementation #specification #testing #verification
A Software Testing Tool for the Verification of Abstract Data Type Implementations from Formal Algebraic Specifications (RdVV), pp. 100–104.
ITiCSEITiCSE-2012-BaghdadiAR #case study #distance #learning #safety #tool support
Applying advanced technology tools in distance learning: case study: traffic data and road safety (MB, KA, JR), p. 389.
ITiCSEITiCSE-2012-Khalifa #data type
Intuitive thinking while dealing with abstract data types (WK), p. 391.
ITiCSEITiCSE-2012-Radenski #clustering #data-driven #in the cloud #multi
Integrating data-intensive cloud computing with multicores and clusters in an HPC course (AR), pp. 69–74.
FASEFASE-2012-MolRH #graph #java
Graph Transforming Java Data (MdM, AR, JJH), pp. 209–223.
FoSSaCSFoSSaCS-2012-BolligCGK #model checking #word
Model Checking Languages of Data Words (BB, AC, PG, KNK), pp. 391–405.
TACASTACAS-2012-DudkaMPV #contest #data type #linked data #named #open data #source code #verification
Predator: A Verification Tool for Programs with Dynamic Linked Data Structures — (Competition Contribution) (KD, PM, PP, TV), pp. 545–548.
TACASTACAS-2012-SonnexDE #automation #data type #named #proving #recursion
Zeno: An Automated Prover for Properties of Recursive Data Structures (WS, SD, SE), pp. 407–421.
TACASTACAS-2012-ZaeemGKM #data type #satisfiability #using
History-Aware Data Structure Repair Using SAT (RNZ, DG, SK, KSM), pp. 2–17.
CSMRCSMR-2012-KovacsD #data-driven #visual notation
Visual Modeler for Data Intensive Tasks (FK, ZD), pp. 509–512.
ICPCICPC-2012-IshioEI #data flow #interprocedural #lightweight #source code #visualisation
A lightweight visualization of interprocedural data-flow paths for source code reading (TI, SE, KI), pp. 37–46.
ICSMEICSM-2012-KuangMHGHJE #comprehension #dependence #question #requirements #source code #traceability
Do data dependencies in source code complement call dependencies for understanding requirements traceability? (HK, PM, HH, AG, LH, JL, AE), pp. 181–190.
ICSMEICSM-2012-Song0XS #api #data access
Inferring the data access from the clients of generic APIs (HS, GH, YX, YS), pp. 388–397.
MSRMSR-2012-BaysalHG #development #mining
Mining usage data and development artifacts (OB, RH, MWG), pp. 98–107.
MSRMSR-2012-GousiosS #git #named
GHTorrent: Github’s data from a firehose (GG, DS), pp. 12–21.
MSRMSR-2012-KeivanlooFHENPR #framework #linked data #mining #open data #repository
A Linked Data platform for mining software repositories (IK, CF, AH, ME, CN, GP, JR), pp. 32–35.
MSRMSR-2012-PosnettDF #correlation
MIC check: A correlation tactic for ESE data (DP, PTD, VF), pp. 22–31.
MSRMSR-2012-RotellaC #analysis #bibliography
Analysis of customer satisfaction survey data (PR, SC), pp. 88–97.
MSRMSR-2012-SadowskiYK #evolution
The evolution of data races (CS, JY, SK), pp. 171–174.
SCAMSCAM-2012-KargenS #analysis #comprehension #data flow #named
InputTracer: A Data-Flow Analysis Tool for Manual Program Comprehension of x86 Binaries (UK, NS), pp. 138–143.
SCAMSCAM-2012-LazarescuL #analysis #c #dependence #parallel #source code
Dynamic Trace-Based Data Dependency Analysis for Parallelization of C Programs (MTL, LL), pp. 126–131.
WCREWCRE-2012-ZiftciK #data mining #feature model #mining #using
Feature Location Using Data Mining on Existing Test-Cases (CZ, IK), pp. 155–164.
PEPMPEPM-2012-KobayashiMS #functional #source code
Functional programs as compressed data (NK, KM, AS), pp. 121–130.
PEPMPEPM-2012-MatsudaIN #cumulative #multi #polynomial #traversal
Polynomial-time inverse computation for accumulative functions with multiple data traversals (KM, KI, KN), pp. 5–14.
PLDIPLDI-2012-HawkinsAFRS #concurrent #data transformation #representation #synthesis
Concurrent data representation synthesis (PH, AA, KF, MCR, MS), pp. 417–428.
FLOPSFLOPS-2012-RoseVS #data flow #hybrid #programming language #query
A Data Flow Language for Hybrid Query and Programming Languages (KHR, LV, NS), pp. 228–242.
ICALPICALP-v2-2012-BojanczykP12a #towards
Toward Model Theory with Data Values (MB, TP), pp. 116–127.
ICALPICALP-v2-2012-KaneMSS #data type
Counting Arbitrary Subgraphs in Data Streams (DMK, KM, TS, HS), pp. 598–609.
LATALATA-2012-KaraST #automaton #logic #word
Feasible Automata for Two-Variable Logic with Successor on Data Words (AK, TS, TT), pp. 351–362.
ICFPICFP-2012-BergstromR #gpu
Nested data-parallelism on the gpu (LB, JHR), pp. 247–258.
CHICHI-2012-CorrellAFG
Comparing averages in time series data (MC, DA, SF, MG), pp. 1095–1104.
CHICHI-2012-FroehlichFORPWLFBPL #design #evaluation #prototype
The design and evaluation of prototype eco-feedback displays for fixture-level water usage data (JF, LF, MO, SR, JP, IW, ECL, FF, MB, SP, JAL), pp. 2367–2376.
CHICHI-2012-GoelFW #mobile #named #using
WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry (MG, LF, JOW), pp. 2687–2696.
CHICHI-2012-HartswoodPTBARS #problem #reuse
Problems of data mobility and reuse in the provision of computer-based training for screening mammography (MH, RP, PT, LB, SA, MR, RS), pp. 909–918.
CHICHI-2012-KanoR #experience
Interchangeability of computer and paper based questionnaires in gathering computer experience data from young children (AK, JCR), pp. 2397–2400.
CHICHI-2012-KuhnMSCLQD #how #multi #student
How students find, evaluate and utilize peer-collected annotated multimedia data in science inquiry with zydeco (AK, BM, SS, CC, WTL, CQ, ID), pp. 3061–3070.
CHICHI-2012-MetoyerLRC #comprehension #visualisation
Understanding the verbal language and structure of end-user descriptions of data visualizations (RAM, BL, NHR, MC), pp. 1659–1662.
CHICHI-2012-WallnerK #analysis #approach #visualisation
A spatiotemporal visualization approach for the analysis of gameplay data (GW, SK), pp. 1115–1124.
CHICHI-2012-WillettHA #crowdsourcing #data analysis #social
Strategies for crowdsourcing social data analysis (WW, JH, MA), pp. 227–236.
CSCWCSCW-2012-HarboeMIH #collaboration #data analysis #diagrams
Computer support for collaborative data analysis: augmenting paper affinity diagrams (GH, JM, II, EMH), pp. 1179–1182.
CSCWCSCW-2012-JuAL #game studies #low cost #using
Using low cost game controllers to capture data for 6th grade science labs (WJ, UA, SL), pp. 1115–1124.
CSCWCSCW-2012-OleksikMJ #collaboration #research
Beyond data sharing: artifact ecology of a collaborative nanophotonics research centre (GO, NMF, RJ), pp. 1165–1174.
HILTHILT-2012-OLearyS #automation #communication #development
FAA’s controller pilot automatic data communication (data comm) system software development (JO, AS), pp. 71–72.
CAiSECAiSE-2012-CastanoFM #data analysis #linked data #open data
Clouding Services for Linked Data Exploration (SC, AF, SM), pp. 486–501.
CAiSECAiSE-2012-LyIMR #data transformation #mining #process #semantics
Data Transformation and Semantic Log Purging for Process Mining (LTL, CI, JM, SRM), pp. 238–253.
ICEISICEIS-J-2012-StuckenschmidtNF12a #integration
User-Centric Data Integration with the MappingAssistant (HS, JN, FF), pp. 323–339.
ICEISICEIS-v1-2012-Ali #data flow #integration #optimisation #query #web
Optimizing Data Integration Queries over Web Data Sources (OPTIQ) (MIA), pp. 163–168.
ICEISICEIS-v1-2012-AndradeBS #retrieval
A Temporal Search Engine to Improve Geographic Data Retrieval in Spatial Data Infrastructures (FGdA, CdSB, US), pp. 56–65.
ICEISICEIS-v1-2012-GascuenaG #modelling
Data Processing Modeling in Decision Support Systems (CMG, RG), pp. 133–138.
ICEISICEIS-v1-2012-Torres-RiberoQ #adaptation #collaboration
Adaptive Data Distribution for Collaboration (LGTR, APQ), pp. 157–162.
ICEISICEIS-v2-2012-LukaszewskiJL #data mining #mining #ontology #semantics #using
Attribute Value Ontology — Using Semantics in Data Mining (TL, JJ, AL), pp. 329–334.
ICEISICEIS-v2-2012-ParreirasGW #approach #linked data #modelling #ontology #open data
An Ontology-based Approach for Enabling Linked Data Capabilities to MOF Compliant Models (FSP, GG, TW), pp. 126–131.
ICEISICEIS-v3-2012-StuckenschmidtNF #case study #integration
A Study in User-centric Data Integration (HS, JN, FF), pp. 5–14.
CIKMCIKM-2012-AbedjanLN #ontology #web
Reconciling ontologies and the web of data (ZA, JL, FN), pp. 1532–1536.
CIKMCIKM-2012-AkogluTVF #category theory #detection #performance #reliability
Fast and reliable anomaly detection in categorical data (LA, HT, JV, CF), pp. 415–424.
CIKMCIKM-2012-Aranda-AndujarBCCGKM #named #repository #web
AMADA: web data repositories in the amazon cloud (AAA, FB, JCR, DC, FG, ZK, IM), pp. 2749–2751.
CIKMCIKM-2012-BhuiyanMH #interactive #mining
Interactive pattern mining on hidden data: a sampling-based solution (MB, SM, MAH), pp. 95–104.
CIKMCIKM-2012-BohmKN #topic
Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.
CIKMCIKM-2012-BohmMNW #distributed #named
LINDA: distributed web-of-data-scale entity matching (CB, GdM, FN, GW), pp. 2104–2108.
CIKMCIKM-2012-BordinoDP
Extracting interesting association rules from toolbar data (IB, DD, BP), pp. 2543–2546.
CIKMCIKM-2012-CandanRSW #named #scalability #set #visualisation
STFMap: query- and feature-driven visualization of large time series data sets (KSC, RR, MLS, XW), pp. 2743–2745.
CIKMCIKM-2012-ChenW #automation #classification #naive bayes
Automated feature weighting in naive bayes for high-dimensional data classification (LC, SW), pp. 1243–1252.
CIKMCIKM-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.
CIKMCIKM-2012-Chung #using
Finding food entity relationships using user-generated data in recipe service (YjC), pp. 2611–2614.
CIKMCIKM-2012-DaiZLP #mining #web
Mining coherent anomaly collections on web data (HD, FZ, EPL, HP), pp. 1557–1561.
CIKMCIKM-2012-DragutOMMBS
Lonomics Atlas: a tool to explore interconnected ionomic, genomic and environmental data (ECD, MO, AM, NM, PB, DES), pp. 2680–2682.
CIKMCIKM-2012-DybalaRAS #analysis #comparative #generative #ranking
Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates (PD, RR, KA, KS), pp. 2587–2590.
CIKMCIKM-2012-EmrichKMRZ #nondeterminism
Indexing uncertain spatio-temporal data (TE, HPK, NM, MR, AZ), pp. 395–404.
CIKMCIKM-2012-FanZCCO #clustering
Maximum margin clustering on evolutionary data (XF, LZ, LC, XC, YSO), pp. 625–634.
CIKMCIKM-2012-FukumotoYMS #classification #documentation
Text classification with relatively small positive documents and unlabeled data (FF, TY, SM, YS), pp. 2315–2318.
CIKMCIKM-2012-GaoCK #graph #keyword #scalability
Information-complete and redundancy-free keyword search over large data graphs (BJG, ZC, QK), pp. 2639–2642.
CIKMCIKM-2012-GuoLA #fine-grained #interactive #predict #web
Predicting web search success with fine-grained interaction data (QG, DL, EA), pp. 2050–2054.
CIKMCIKM-2012-HanFJ #query
Schema-free structured querying of DBpedia data (LH, TF, AJ), pp. 2090–2093.
CIKMCIKM-2012-HasanMTK #query
Diversifying query results on semi-structured data (MH, AM, VJT, EJK), pp. 2099–2103.
CIKMCIKM-2012-HerschelE #comprehension #data transformation #debugging
The nautilus analyzer: understanding and debugging data transformations (MH, HE), pp. 2731–2733.
CIKMCIKM-2012-HofmannWR #comparison
Estimating interleaved comparison outcomes from historical click data (KH, SW, MdR), pp. 1779–1783.
CIKMCIKM-2012-JinCKLZ #protocol #query
A filter-based protocol for continuous queries over imprecise location data (YJ, RC, BK, KyL, YZ), pp. 365–374.
CIKMCIKM-2012-KimZRDHCL #mining #named #topic
InCaToMi: integrative causal topic miner between textual and non-textual time series data (HDK, CZ, TAR, DD, MH, MC, CCL), pp. 2689–2691.
CIKMCIKM-2012-KummamuruJD #generative #navigation
Generating facets for phone-based navigation of structured data (KK, AJ, MD), pp. 1283–1292.
CIKMCIKM-2012-LokocWSR #3d #similarity #video
Similarity search in 3D object-based video data (JL, JW, TS, AR), pp. 2655–2658.
CIKMCIKM-2012-LongCZZ #classification #named #using
TCSST: transfer classification of short & sparse text using external data (GL, LC, XZ, CZ), pp. 764–772.
CIKMCIKM-2012-MaRHMHZCL #performance
An efficient index for massive IOT data in cloud environment (YM, JR, WH, XM, XH, YZ, YC, CL), pp. 2129–2133.
CIKMCIKM-2012-MeccaPRS #data transformation #question #what
What is the IQ of your data transformation system? (GM, PP, SR, DS), pp. 872–881.
CIKMCIKM-2012-NiuRWY #effectiveness #mining #web
An effective rule miner for instance matching in a web of data (XN, SR, HW, YY), pp. 1085–1094.
CIKMCIKM-2012-OrangS #approach #correlation #nondeterminism #probability #query
A probabilistic approach to correlation queries in uncertain time series data (MO, NS), pp. 2229–2233.
CIKMCIKM-2012-PanZ #correlation #data type #graph #named #query
CGStream: continuous correlated graph query for data streams (SP, XZ), pp. 1183–1192.
CIKMCIKM-2012-QinZWWZH #migration #optimisation
Optimizing data migration for cloud-based key-value stores (XQ, WZ, WW, JW, XZ, TH), pp. 2204–2208.
CIKMCIKM-2012-SavkovicPPN #named
MAGIK: managing completeness of data (OS, PM, SP, WN), pp. 2725–2727.
CIKMCIKM-2012-SongKNCXB #network #social
Discretionary social network data revelation with a user-centric utility guarantee (YS, PK, SN, GC, MX, SB), pp. 1572–1576.
CIKMCIKM-2012-SunG #learning
Active learning for relation type extension with local and global data views (AS, RG), pp. 1105–1112.
CIKMCIKM-2012-TanLN #data analysis #named
CloST: a hadoop-based storage system for big spatio-temporal data analytics (HT, WL, LMN), pp. 2139–2143.
CIKMCIKM-2012-TranC #named #performance #sorting
SliceSort: efficient sorting of hierarchical data (QTT, CYC), pp. 2109–2113.
CIKMCIKM-2012-Vitter #data type
Compressed data structures with relevance (JSV), pp. 4–5.
CIKMCIKM-2012-VlachosWS #clustering
Right-protected data publishing with hierarchical clustering preservation (MV, AW, JS), pp. 654–663.
CIKMCIKM-2012-XieZSzP #data type #linear #multi #performance #representation
Efficient buffer management for piecewise linear representation of multiple data streams (QX, JZ, MAS, XZ, CP), pp. 2114–2118.
CIKMCIKM-2012-XueKRKP #network #random #social
Delineating social network data anonymization via random edge perturbation (MX, PK, CR, PK, HKP), pp. 475–484.
CIKMCIKM-2012-ZhaoN #approach #data type #modelling
A model-based approach for RFID data stream cleansing (ZZ, WN), pp. 862–871.
ECIRECIR-2012-LungleyKS #adaptation #domain model #interactive #learning #modelling #web
Learning Adaptive Domain Models from Click Data to Bootstrap Interactive Web Search (DL, UK, DS), pp. 527–530.
ECIRECIR-2012-NeumayerBN #ad hoc #modelling #on the #web
On the Modeling of Entities for Ad-Hoc Entity Search in the Web of Data (RN, KB, KN), pp. 133–145.
ICMLICML-2012-BiessmannPBH #canonical #detection #roadmap #web
Canonical Trends: Detecting Trend Setters in Web Data (FB, JMP, MLB, AH), p. 170.
ICMLICML-2012-KimKO #metric #parametricity #process #random #topic
Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data (DK, SK, AHO), p. 90.
ICMLICML-2012-KleinerTSJ #big data
The Big Data Bootstrap (AK, AT, PS, MIJ), p. 232.
ICMLICML-2012-KolarX #consistency
Consistent Covariance Selection From Data With Missing Values (MK, EPX), p. 85.
ICMLICML-2012-KumarTAK #data-driven #design #web
Data-driven Web Design (RK, JOT,