BibSLEIGH — data stem

Used together with:

base (864)
system (671)
use (638)
mine (634)
model (630)

Stem data$ (all stems)

7142 papers:

CBSE-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.
CBSE-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.
QoSA-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.
WICSA-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.
CASE-2015-BoH #clustering #fault #process: Qualitative trend clustering of process data for fault diagnosis (ZB, YH), pp. 1584–1588.
CASE-2015-DobslawGZ #challenge #industrial #network: Challenges for the use of data aggregation in industrial Wireless Sensor Networks (FD, MG, TZ), pp. 138–144.
CASE-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.
CASE-2015-LeeC #big data: Aggregate production planning with small data in TFT-LCD manufacturing (CYL, MCC), pp. 647–648.
CASE-2015-LinZW #predict #realtime #using: Using real-time sensing data for predicting future state of building fires (CCL, GZ, LLW), pp. 1313–1318.
CASE-2015-NouaouriSA #data mining #mining #predict #problem: Evidential data mining for length of stay (LOS) prediction problem (IN, AS, HA), pp. 1415–1420.
CASE-2015-SunWWL #data-driven #energy #runtime: Data driven production runtime energy control of manufacturing systems (ZS, DW, LW, LL), pp. 243–248.
CASE-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.
DAC-2015-ChenSZDJ #optimisation: Optimizing data placement for reducing shift operations on domain wall memories (XC, EHMS, QZ, PD, WJ), p. 6.
DAC-2015-KoJKLS #design #guidelines: Guidelines to design parity protected write-back L1 data cache (YK, RJ, YK, KL, AS), p. 6.
DAC-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.
DAC-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.
DAC-2015-RajendranVK #detection: Detecting malicious modifications of data in third-party intellectual property cores (JR, VV, RK), p. 6.
DAC-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.
DAC-2015-WasicekLKGIA #simulation: System simulation from operational data (AW, EAL, HK, LG, AI, IA), p. 6.
DAC-2015-YangCK #design: Virtual flash chips: rethinking the layer design of flash devices to improve data recoverability (MCY, YHC, TWK), p. 6.
DATE-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.
DATE-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.
DATE-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.
DATE-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.
DATE-2015-FarkashHS #data mining #debugging #locality #mining: Data mining diagnostics and bug MRIs for HW bug localization (MF, BGH, BS), pp. 79–84.
DATE-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.
DATE-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.
DATE-2015-KomalanTPFC: System level exploration of a STT-MRAM based level 1 data-cache (MPK, CT, JIGP, FTF, FC), pp. 1311–1316.
DATE-2015-KunduBK #design #fault #testing: Fault diagnosis in designs with extreme low pin test data compressors (SK, PB, RK), pp. 1285–1288.
DATE-2015-LiuHFRQR #power management: Power minimization for data center with guaranteed QoS (SL, SH, MF, SR, GQ, SR), pp. 1347–1352.
DATE-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.
DATE-2015-SonghoriMLK #automation #data analysis #framework #hardware #named: AHEAD: automated framework for hardware accelerated iterative data analysis (EMS, AM, XL, FK), pp. 942–947.
DATE-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.
DATE-2015-WangLZ #big data #named: SODA: software defined FPGA based accelerators for big data (CW, XL, XZ), pp. 884–887.
DocEng-2015-AtenciaDG #linked data #open data #question #what: What Is This Thing Called Linked Data? (MA, JD, PG), pp. 233–234.
DocEng-2015-LesnikovaDE #rdf #using: Interlinking English and Chinese RDF Data Using BabelNet (TL, JD, JE), pp. 39–42.
DocEng-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.
DRR-2015-XuS: Missing value imputation: with application to handwriting data (ZX, SNS).
HT-2015-Smyth #big data: From Small Sensors to Big Data (BS), p. 101.
PODS-2015-FanGCDL #big data #query: Querying Big Data by Accessing Small Data (WF, FG, YC, TD, PL), pp. 173–184.
PODS-2015-GrahneMO: Recovering Exchanged Data (GG, AM, AO), pp. 105–116.
PODS-2015-Jordan #big data: Computational Thinking, Inferential Thinking and “Big Data” (MIJ), p. 1.
PODS-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.
PODS-2015-MunroNV #data type #documentation #graph: Dynamic Data Structures for Document Collections and Graphs (JIM, YN, JSV), pp. 277–289.
SIGMOD-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.
SIGMOD-2015-BabarinsaI #database #named: JAFAR: Near-Data Processing for Databases (OOB, SI), pp. 2069–2070.
SIGMOD-2015-BergmanMNT #query: Query-Oriented Data Cleaning with Oracles (MB, TM, SN, WCT), pp. 1199–1214.
SIGMOD-2015-ChenGLJCZ #metric #nondeterminism #query: Indexing Metric Uncertain Data for Range Queries (LC, YG, XL, CSJ, GC, BZ), pp. 951–965.
SIGMOD-2015-ChenHX #authentication #integration #online: Authenticated Online Data Integration Services (QC, HH, JX), pp. 167–181.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2015-ClinkenbeardN #communication #scheduling: Job Scheduling with Minimizing Data Communication Costs (TC, AN), pp. 2071–2072.
SIGMOD-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.
SIGMOD-2015-DeshpandeRDA #approach #named: ShareInsights: An Unified Approach to Full-stack Data Processing (MD, DR, SD, AA), pp. 1925–1940.
SIGMOD-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.
SIGMOD-2015-El-RobyA #automation #linked data #named #open data: ALEX: Automatic Link Exploration in Linked Data (AER, AA), pp. 1839–1853.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2015-GuptaATKPSS: Amazon Redshift and the Case for Simpler Data Warehouses (AG, DA, DT, JK, RP, SS, VS), pp. 1917–1923.
SIGMOD-2015-Haas #data-driven #integration: The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery (LMH), p. 661.
SIGMOD-2015-HuangZYDLND0Z #big data #predict: Telco Churn Prediction with Big Data (YH, FZ, MY, KD, YL, BN, WD, QY, JZ), pp. 607–618.
SIGMOD-2015-IdreosPC #bibliography #data analysis: Overview of Data Exploration Techniques (SI, OP, SC), pp. 277–281.
SIGMOD-2015-JerglerSJ #distributed #framework #named #workflow: D2WORM: A Management Infrastructure for Distributed Data-centric Workflows (MJ, MS, HAJ), pp. 1427–1432.
SIGMOD-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.
SIGMOD-2015-KatsipoulakisTG #data type #named: CE-Storm: Confidential Elastic Processing of Data Streams (NRK, CT, EAG, AL, AJL, PKC), pp. 859–864.
SIGMOD-2015-KhayyatIJMOPQ0Y #big data #named: BigDansing: A System for Big Data Cleansing (ZK, IFI, AJ, SM, MO, PP, JAQR, NT, SY), pp. 1215–1230.
SIGMOD-2015-KumarNP #learning #linear #modelling #normalisation: Learning Generalized Linear Models Over Normalized Data (AK, JFN, JMP), pp. 1969–1984.
SIGMOD-2015-LiHDL #multi #performance #similarity: Efficient Similarity Join and Search on Multi-Attribute Data (GL, JH, DD, JL), pp. 1137–1151.
SIGMOD-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.
SIGMOD-2015-MeglerM: Demonstrating “Data Near Here”: Scientific Data Search (VMM, DM), pp. 1075–1080.
SIGMOD-2015-MorcosAIOPS #data transformation #interactive #named: DataXFormer: An Interactive Data Transformation Tool (JM, ZA, IFI, MO, PP, MS), pp. 883–888.
SIGMOD-2015-NawabAAA #commit #latency #transaction: Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores (FN, VA, DA, AEA), pp. 1279–1294.
SIGMOD-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.
SIGMOD-2015-Patel: From Data to Insights @ Bare Metal Speed (JMP), p. 1.
SIGMOD-2015-PengD #array #database #nondeterminism: Supporting Data Uncertainty in Array Databases (LP, YD), pp. 545–560.
SIGMOD-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.
SIGMOD-2015-RablDFSJ #big data: Just can’t get enough: Synthesizing Big Data (TR, MD, MF, SS, HAJ), pp. 1457–1462.
SIGMOD-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.
SIGMOD-2015-SakuraiMF #mining: Mining and Forecasting of Big Time-series Data (YS, YM, CF), pp. 919–922.
SIGMOD-2015-SalamaBKZ #cost analysis #fault tolerance #parallel: Cost-based Fault-tolerance for Parallel Data Processing (AS, CB, TK, EZ), pp. 285–297.
SIGMOD-2015-SongZWY #constraints #named: SCREEN: Stream Data Cleaning under Speed Constraints (SS, AZ, JW, PSY), pp. 827–841.
SIGMOD-2015-UpadhyayaBS #automation #policy: Automatic Enforcement of Data Use Policies with DataLawyer (PU, MB, DS), pp. 213–225.
SIGMOD-2015-Viglas #data transformation #memory management: Data Management in Non-Volatile Memory (SDV), pp. 1707–1711.
SIGMOD-2015-VulimiriCGJKPV #data-driven #named: WANalytics: Geo-Distributed Analytics for a Data Intensive World (AV, CC, PBG, TJ, KK, JP, GV), pp. 1087–1092.
SIGMOD-2015-WangDM #fault: Data X-Ray: A Diagnostic Tool for Data Errors (XW, XLD, AM), pp. 1231–1245.
SIGMOD-2015-WangZZS #in memory #named: SharkDB: An In-Memory Storage System for Massive Trajectory Data (HW, KZ, XZ, SWS), pp. 1099–1104.
SIGMOD-2015-WeiLYDW #persistent #sketching: Persistent Data Sketching (ZW, GL, KY, XD, JRW), pp. 795–810.
SIGMOD-2015-YangSN #correlation #difference #privacy: Bayesian Differential Privacy on Correlated Data (BY, IS, HN), pp. 747–762.
SIGMOD-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.
SIGMOD-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.
VLDB-2015-AbdelazizHSKM #data analysis #framework #named #rdf: SPARTex: A Vertex-Centric Framework for RDF Data Analytics (IA, RH, SS, PK, NM), pp. 1880–1891.
VLDB-2015-AkidauBCCFLMMPS #approach #bound #correctness #data flow #latency: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing (TA, RB, CC, SC, RFM, RL, SM, DM, FP, ES, SW), pp. 1792–1803.
VLDB-2015-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.
VLDB-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.
VLDB-2015-Balazinska15a #big data #data analysis #industrial #problem #question: Big Data Research: Will Industry Solve all the Problems? (MB), pp. 2053–2064.
VLDB-2015-BergmanMNT #named #query: QOCO: A Query Oriented Data Cleaning System with Oracles (MB, TM, SN, WCT), pp. 1900–1911.
VLDB-2015-BhardwajDEKMPS0 #collaboration #data analysis: Collaborative Data Analytics with DataHub (APB, AD, AJE, DRK, SM, AGP, HS, EW, RZ), pp. 1916–1927.
VLDB-2015-ChatzistergiouCV #in memory #named: REWIND: Recovery Write-Ahead System for In-Memory Non-Volatile Data-Structures (AC, MC, SDV), pp. 497–508.
VLDB-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.
VLDB-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.
VLDB-2015-DingWDFZZ #clustering #named #performance #scalability: YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDB-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.
VLDB-2015-FinisBK0MF: Indexing Highly Dynamic Hierarchical Data (JF, RB, AK, TN, NM, FF), pp. 986–997.
VLDB-2015-HaasAGM #crowdsourcing #named: Argonaut: Macrotask Crowdsourcing for Complex Data Processing (DH, JA, LG, AM), pp. 1642–1653.
VLDB-2015-HaasKWF0 #framework #named #scalability: Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
VLDB-2015-HeWKCLYL #named #query: SDB: A Secure Query Processing System with Data Interoperability (ZH, WKW, BK, DWLC, RL, SMY, EL), pp. 1876–1887.
VLDB-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.
VLDB-2015-JoglekarGP #data analysis: Smart Drill-Down: A New Data Exploration Operator (MJ, HGM, AGP), pp. 1928–1939.
VLDB-2015-KalininCZ #multi #named #scalability: Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, UÇ, SBZ), pp. 1094–1105.
VLDB-2015-KumarJYNP #machine learning #normalisation #optimisation: Demonstration of Santoku: Optimizing Machine Learning over Normalized Data (AK, MJ, BY, JFN, JMP), pp. 1864–1875.
VLDB-2015-LiCM #approach #data-driven #query: Query From Examples: An Iterative, Data-Driven Approach to Query Construction (HL, CYC, DM), pp. 2158–2169.
VLDB-2015-Liroz-GistauAV #execution #named #parallel #performance: FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data (MLG, RA, PV), pp. 1856–1867.
VLDB-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.
VLDB-2015-LoghinTZOT #big data #performance: A Performance Study of Big Data on Small Nodes (DL, BMT, HZ, BCO, YMT), pp. 762–773.
VLDB-2015-OrtonaOBF #named #program repair: WADaR: Joint Wrapper and Data Repair (SO, GO, MB, TF), pp. 1996–2007.
VLDB-2015-PapenbrockBFZN #profiling: Data Profiling with Metanome (TP, TB, MF, JZ, FN), pp. 1860–1871.
VLDB-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.
VLDB-2015-QiaoLTLVTDBSDB #named: Gobblin: Unifying Data Ingestion for Hadoop (LQ, YL, ST, ZL, NV, MT, YD, IB, KS, SD, CB), pp. 1764–1775.
VLDB-2015-SchubertKEZSZ #clustering #framework #nondeterminism: A Framework for Clustering Uncertain Data (ES, AK, TE, AZ, KAS, AZ), pp. 1976–1987.
VLDB-2015-SH #approach #big data #named #testing: CODD: A Dataless Approach to Big Data Testing (AS, JRH), pp. 2008–2019.
VLDB-2015-ShinRC #knowledge base #named: Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction (JS, CR, MJC), pp. 1920–1931.
VLDB-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, FÖ), pp. 2110–2121.
VLDB-2015-SongZC0 #similarity: Enriching Data Imputation with Extensive Similarity Neighbors (SS, AZ, LC, JW), pp. 1286–1297.
VLDB-2015-TangCM #scalability #similarity: Scaling Similarity Joins over Tree-Structured Data (YT, YC, NM), pp. 1130–1141.
VLDB-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.
VLDB-2015-Walter #big data: Big Plateaus of Big Data on the Big Island (TW), pp. 2057–2068.
VLDB-2015-WangFWDM #fault #profiling: Error Diagnosis and Data Profiling with Data X-Ray (XW, MF, YW, XLD, AM), pp. 1984–1995.
VLDB-2015-WylotCG #query #web: A Demonstration of TripleProv: Tracking and Querying Provenance over Web Data (MW, PCM, PTG), pp. 1992–2003.
VLDB-2015-Xirogiannopoulos #graph #named #relational: GraphGen: Exploring Interesting Graphs in Relational Data (KX, UK, AD), pp. 2032–2043.
VLDB-2015-YingKSS #named: TreeScope: Finding Structural Anomalies In Semi-Structured Data (SY, FK, BS, DS), pp. 1904–1915.
VLDB-2015-ZoumpatianosIP #interactive #named: RINSE: Interactive Data Series Exploration with ADS+ (KZ, SI, TP), pp. 1912–1923.
ITiCSE-2015-AndersonNM #programming: Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine (PEA, TN, RAM), pp. 99–104.
ITiCSE-2015-KurkovskyM #realtime #student: Student Projects with Real-time Sensor Data (SK, MM), p. 344.
ITiCSE-2015-MishraI #data type #student: Question-Posing strategies used by students for exploring Data Structures (SM, SI), pp. 171–176.
ITiCSE-2015-Tudor #learning #optimisation #query #xml: Virtual Learning Laboratory about Query Optimization against XML Data (LNT), p. 348.
ESOP-2015-GotsmanY #data type: Composite Replicated Data Types (AG, HY), pp. 585–609.
ESOP-2015-Ricciotti #data type: Binding Structures as an Abstract Data Type (WR), pp. 762–786.
FASE-2015-AndriescuMI #automaton #data type #using: Composing Message Translators and Inferring Their Data Types Using Tree Automata (EA, TM, VI), pp. 35–50.
FASE-2015-DaniaC #modelling #reasoning: Model-Based Formal Reasoning about Data-Management Applications (CD, MC), pp. 218–232.
FASE-2015-LiuPL #energy #optimisation: Data-Oriented Characterization of Application-Level Energy Optimization (KL, GP, YDL), pp. 316–331.
FoSSaCS-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.
ICPC-2015-SchermannBPLG #commit: Discovering loners and phantoms in commit and issue data (GS, MB, SP, PL, HCG), pp. 4–14.
ICPC-2015-YanoKII #interactive #library #named #visualisation: VerXCombo: an interactive data visualization of popular library version combinations (YY, RGK, TI, KI), pp. 291–294.
ICSME-2015-BaloghABVGV #developer #identification #interactive: Identifying wasted effort in the field via developer interaction data (GB, GA, ÁB, LV, TG, AZV), pp. 391–400.
ICSME-2015-IloGABG #repository: Combining software interrelationship data across heterogeneous software repositories (NI, JG, TA, MB, TG), pp. 571–575.
MSR-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.
MSR-2015-PonzanelliML #development #mining #semistructured data: Summarizing Complex Development Artifacts by Mining Heterogeneous Data (LP, AM, ML), pp. 401–405.
MSR-2015-PonzanelliML15a #named #stack overflow: StORMeD: Stack Overflow Ready Made Data (LP, AM, ML), pp. 474–477.
MSR-2015-VasilescuSF #git #set #social: A Data Set for Social Diversity Studies of GitHub Teams (BV, AS, VF), pp. 514–517.
SANER-2015-BaoLXWZ #interactive #reverse engineering: Reverse engineering time-series interaction data from screen-captured videos (LB, JL, ZX, XW, BZ), pp. 399–408.
SANER-2015-SinghGN #data type #graph #memory management: MG++: Memory graphs for analyzing dynamic data structures (VS, RG, IN), pp. 291–300.
SCAM-2015-BlazyRS #obfuscation: Data tainting and obfuscation: Improving plausibility of incorrect taint (SB, SR, TS), pp. 111–120.
SCAM-2015-ChochlovEB #data flow #feature model #using: Using changeset descriptions as a data source to assist feature location (MC, ME, JB), pp. 51–60.
PLDI-2015-BarowyGHZ #named #relational #spreadsheet #using: FlashRelate: extracting relational data from semi-structured spreadsheets using examples (DWB, SG, TH, BGZ), pp. 218–228.
PLDI-2015-ChuJT #automation #imperative #induction #proving #source code: Automatic induction proofs of data-structures in imperative programs (DHC, JJ, MTT), pp. 457–466.
PLDI-2015-FeserCD #data type: Synthesizing data structure transformations from input-output examples (JKF, SC, ID), pp. 229–239.
PLDI-2015-Sivaramakrishnan #consistency #declarative #programming: Declarative programming over eventually consistent data stores (KCS, GK, SJ), pp. 413–424.
PLDI-2015-VenkatHS #data transformation #matrix: Loop and data transformations for sparse matrix code (AV, MWH, MS), pp. 521–532.
SAS-2015-RapoportLT #analysis #correlation #data flow #precise: Precise Data Flow Analysis in the Presence of Correlated Method Calls (MR, OL, FT), pp. 54–71.
STOC-2015-AndoniR #approximate: Optimal Data-Dependent Hashing for Approximate Near Neighbors (AA, IR), pp. 793–801.
STOC-2015-DworkFHPRR #adaptation #data analysis #statistics: Preserving Statistical Validity in Adaptive Data Analysis (CD, VF, MH, TP, OR, ALR), pp. 117–126.
DLT-2015-FengLQ #word: Path Checking for MTL and TPTL over Data Words (SF, ML, KQ), pp. 326–339.
ICALP-v1-2015-Canonne #big data #testing: Big Data on the Rise? — Testing Monotonicity of Distributions (CLC), pp. 294–305.
ICALP-v1-2015-WeinsteinW #communication #data type: The Simultaneous Communication of Disjointness with Applications to Data Streams (OW, DPW), pp. 1082–1093.
LATA-2015-BilleGV #data type: Compressed Data Structures for Range Searching (PB, ILG, SV), pp. 577–586.
LATA-2015-BoiretHNT #constraints #logic: Logics for Unordered Trees with Data Constraints on Siblings (AB, VH, JN, RT), pp. 175–187.
FM-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.
FM-2015-Lecomte #modelling #verification: Formal Virtual Modelling and Data Verification for Supervision Systems (TL), pp. 597–600.
FM-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.
CHI-2015-AminiRLHI #comprehension #lens #visualisation: Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens (FA, NHR, BL, CH, PI), pp. 1459–1468.
CHI-2015-BoyDF #question #visualisation: Storytelling in Information Visualizations: Does it Engage Users to Explore Data? (JB, FD, JDF), pp. 1449–1458.
CHI-2015-ChangM #spreadsheet #streaming: A Spreadsheet Model for Handling Streaming Data (KSPC, BAM), pp. 3399–3402.
CHI-2015-ChettyKSBFE #data transformation #internet #named: uCap: An Internet Data Management Tool For The Home (MC, HK, SS, SB, NF, WKE), pp. 3093–3102.
CHI-2015-DarzentasBFB #data-driven #game studies: The Data Driven Lives of Wargaming Miniatures (DPD, MAB, MF, SB), pp. 2427–2436.
CHI-2015-DergousoffM #crowdsourcing #gamification #mobile: Mobile Gamification for Crowdsourcing Data Collection: Leveraging the Freemium Model (KKD, RLM), pp. 1065–1074.
CHI-2015-JansenDIAKKSH #challenge: Opportunities and Challenges for Data Physicalization (YJ, PD, PI, JA, AK, JK, SS, KH), pp. 3227–3236.
CHI-2015-KimMP #mobile #volunteer: Exploring Barriers to the Adoption of Mobile Technologies for Volunteer Data Collection Campaigns (SK, JM, EP), pp. 3117–3126.
CHI-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.
CHI-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.
CHI-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.
CHI-2015-MatthewsSRCSLG #elicitation #realtime #representation: Real-Time Representation Versus Response Elicitation in Biosensor Data (MM, JS, LR, JTC, AS, JWL, GG), pp. 605–608.
CHI-2015-MitraHG #quality: Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk (TM, CJH, EG), pp. 1345–1354.
CHI-2015-NissenB #named #process: Data-Things: Digital Fabrication Situated within Participatory Data Translation Activities (BN, JB), pp. 2467–2476.
CHI-2015-OuVH #data type #development #interactive: An Interactive System for Data Structure Development (JO, MTV, OH), pp. 3053–3062.
CHI-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.
CHI-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.
CHI-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.
CHI-2015-ZhaoLDHW #comparison #named #sequence #visual notation: MatrixWave: Visual Comparison of Event Sequence Data (JZ, ZL, MD, AH, AW), pp. 259–268.
CSCW-2015-DantecAMW #crowdsourcing #representation: Planning with Crowdsourced Data: Rhetoric and Representation in Transportation Planning (CALD, MA, AM, KEW), pp. 1717–1727.
CSCW-2015-FarrahiEC #community #mobile #predict: Predicting a Community’s Flu Dynamics with Mobile Phone Data (KF, RE, MC), pp. 1214–1221.
CSCW-2015-Hancock #facebook: The Facebook Study: A Personal Account of Data Science, Ethics and Change (JTH), p. 1.
CSCW-2015-HullmanDMA #visualisation: Content, Context, and Critique: Commenting on a Data Visualization Blog (JH, ND, EM, EA), pp. 1170–1175.
CSCW-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.
CSCW-2015-WebsterNBMWP #community #linked data #named #open data: CURIOS: Connecting Community Heritage through Linked Data (GW, HHN, DEB, CM, CDW, JZP), pp. 639–648.
DHM-EH-2015-AntonyaBB #estimation #parametricity: Parameter Estimation from Motion Tracking Data (CA, SB, HB), pp. 113–121.
DHM-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.
DHM-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.
DUXU-DD-2015-FanHV #big data #risk management: Supply Chain Risk Management in the Era of Big Data (YF, LH, SV), pp. 283–294.
DUXU-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.
DUXU-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.
DUXU-IXD-2015-SuzukiCTO: Hidden Presence: Sensing Occupancy and Extracting Value from Occupancy Data (LS, PC, TT, GCO), pp. 412–424.
DUXU-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.
DUXU-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.
DUXU-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.
DUXU-UI-2015-Search #data transformation #interactive #multi #representation: Interactive Multisensory Data Representation (PS), pp. 363–373.
HCI-DE-2015-HornungPBL #challenge #interactive #perspective: Challenges for Human-Data Interaction — A Semiotic Perspective (HHH, RP, MCCB, KL), pp. 37–48.
HCI-IT-2015-KurosawaST #mobile: Spatial Arrangement of Data and Commands at Bezels of Mobile Touchscreen Devices (TK, BS, JT), pp. 227–237.
HCI-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.
HCI-UC-2015-DantecWCM #ecosystem: Cycle Atlanta and OneBusAway: Driving Innovation Through the Data Ecosystems of Civic Computing (CALD, KEW, RJC, EDM), pp. 327–338.
HCI-UC-2015-SandersCDJ #data flow: GT Journey: The Importance of Accessible Rich Data Sources to Enable Innovation (MS, RJC, BD, SJ), pp. 82–91.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-IKD-2015-AbramiMP #image: Fusing Text and Image Data with the Help of the OWLnotator (GA, AM, DP), pp. 261–272.
HIMI-IKD-2015-AlmAHU #ontology #visualisation: Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data (RA, MA, SH, BU), pp. 3–14.
HIMI-IKD-2015-ArgyleLG #evaluation #predict: Evaluation of Data Display Methods in a Flash Flood Prediction Tool (EMA, CL, JJG), pp. 15–22.
HIMI-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.
HIMI-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.
HIMI-IKD-2015-MorizumiA #analysis #using: Analysis Using Purchasing Data in Japan (RM, YA), pp. 640–647.
HIMI-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.
HIMI-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.
HIMI-IKD-2015-YoshinoO #using: Proposal of a Data Presentation Technique Using Four-Frame Cartoon Expression for a LifeLog System (TY, IO), pp. 235–246.
SCSM-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.
CAiSE-2015-AbubahiaC #approach #clustering: A Clustering Approach for Protecting GIS Vector Data (AA, MC), pp. 133–147.
CAiSE-2015-BrownL #probability #quality: Probabilistic Keys for Data Quality Management (PB, SL), pp. 118–132.
CAiSE-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.
CAiSE-2015-KhouriSB #approach #data transformation #lifecycle #traceability: Managing Data Warehouse Traceability: A Life-Cycle Driven Approach (SK, KS, LB), pp. 199–213.
CAiSE-2015-KopkeE #data flow #design #equivalence: Equivalence Transformations for the Design of Interorganizational Data-Flow (JK, JE), pp. 367–381.
CAiSE-2015-SirenSJ #lifecycle #requirements: The Requirements and Needs of Global Data Usage in Product Lifecycle Management (AS, KS, MJ), pp. 103–117.
CAiSE-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.
CAiSE-2015-YeddulaDR #approach #enterprise #migration #modelling: A Model-Driven Approach to Enterprise Data Migration (RRY, PD, SR), pp. 230–243.
ICEIS-v1-2015-Aghbari #big data #challenge #mining: Mining Big Data — Challenges and Opportunities (ZAA), pp. 379–384.
ICEIS-v1-2015-AlmeidaHC #multi #question #what: What if Multiusers Wish to Reconcile Their Data? (DSdA, CSH, CDdAC), pp. 184–195.
ICEIS-v1-2015-AnjosFBSGM #big data #search-based: Genetic Mapping of Diseases through Big Data Techniques (JCSdA, BRF, JFB, RBS, CG, UM), pp. 279–286.
ICEIS-v1-2015-BerroMT #graph #open data #process #statistics: Graph-based ETL Processes for Warehousing Statistical Open Data (AB, IM, OT), pp. 271–278.
ICEIS-v1-2015-CaballeroBP #assessment #process #towards: Towards Principled Data Science Assessment — The Personal Data Science Process (PdsP) (IC, LBE, MP), pp. 374–378.
ICEIS-v1-2015-CarboneraA #algorithm #category theory #clustering #named: CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering (JLC, MA), pp. 603–608.
ICEIS-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.
ICEIS-v1-2015-ChevalierMKTT #implementation #multi: Implementing Multidimensional Data Warehouses into NoSQL (MC, MEM, AK, OT, RT), pp. 172–183.
ICEIS-v1-2015-EnriquezLGMC #identification #open data #problem: Entity Identification Problem in Big and Open Data (JGE, VL, MG, FJDM, MJEC), pp. 404–408.
ICEIS-v1-2015-HernandezMV #energy #middleware: An IFC4-based Middleware for Data Interoperability in Energy Building Operation (JLH, SM, CV), pp. 287–294.
ICEIS-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.
ICEIS-v1-2015-PintoBZP #enterprise: Supporting Competitive Intelligence with Linked Enterprise Data (VAP, GSB, FZ, FSP), pp. 409–415.
ICEIS-v1-2015-SilvaHL #approach #hybrid #memory management: A Hybrid Memory Data Cube Approach for High Dimension Relations (RRS, CMH, JdCL), pp. 139–149.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2015-CruzMS #modelling #process #set: Deriving a Data Model from a Set of Interrelated Business Process Models (EFC, RJM, MYS), pp. 49–59.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2015-ZoglaMS #analysis #problem #quality #taxonomy: Analysis of Data Quality Problem Taxonomies (AZ, IM, ES), pp. 445–450.
ICEIS-v3-2015-LozanoCPA #named #ontology #query: RockQuery — An Ontology-based Data Querying Tool (JL, JLC, MP, MA), pp. 25–33.
ICEIS-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.
ICEIS-v3-2015-Piedrabuena0R #data transformation: Enforcing Data Protection Regulations within e-Government Master Data Management Systems (FP, LG, RR), pp. 316–321.
ICEIS-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.
ECIR-2015-LiHLZ #twitter: Selecting Training Data for Learning-Based Twitter Search (DL, BH, TL, XZ), pp. 501–506.
ICML-2015-AhnCGMW #clustering #correlation #data type: Correlation Clustering in Data Streams (KJA, GC, SG, AM, AW), pp. 2237–2246.
ICML-2015-AnavaHZ #online #predict: Online Time Series Prediction with Missing Data (OA, EH, AZ), pp. 2191–2199.
ICML-2015-Betancourt #monte carlo #scalability: The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling (MB), pp. 533–540.
ICML-2015-EggelingKG #big data: Dealing with small data: On the generalization of context trees (RE, MK, IG), pp. 1245–1253.
ICML-2015-GalCG #category theory #estimation #multi #process: Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data (YG, YC, ZG), pp. 645–654.
ICML-2015-GongZSTG: Discovering Temporal Causal Relations from Subsampled Data (MG, KZ, BS, DT, PG), pp. 1898–1906.
ICML-2015-HazanLM #classification #rank: Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.
ICML-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.
ICML-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.
ICML-2015-LengWCZL #distributed: Hashing for Distributed Data (CL, JW, JC, XZ, HL), pp. 1642–1650.
ICML-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.
ICML-2015-NarayanPA #metaprogramming: α-β Divergences Discover Micro and Macro Structures in Data (KSN, AP, PA), pp. 796–804.
ICML-2015-NockPF: Rademacher Observations, Private Data, and Boosting (RN, GP, AF), pp. 948–956.
ICML-2015-PlessisNS #learning: Convex Formulation for Learning from Positive and Unlabeled Data (MCdP, GN, MS), pp. 1386–1394.
ICML-2015-Soltanmohammadi #data fusion: Context-based Unsupervised Data Fusion for Decision Making (ES, MNP, MvdS), pp. 2076–2084.
ICML-2015-TheisH #probability #streaming: A trust-region method for stochastic variational inference with applications to streaming data (LT, MDH), pp. 2503–2511.
ICML-2015-WangWS #analysis #clustering: A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data (YW, YXW, AS), pp. 1422–1431.
ICML-2015-WangY #learning #matrix #multi: Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
ICML-2015-WeiIB #learning #set: Submodularity in Data Subset Selection and Active Learning (KW, RKI, JAB), pp. 1954–1963.
ICML-2015-XiaoBBFER #feature model #question: Is Feature Selection Secure against Training Data Poisoning? (HX, BB, GB, GF, CE, FR), pp. 1689–1698.
KDD-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.
KDD-2015-Awadallah #data transformation #future of: Hadoop’s Impact on the Future of Data Management (AA), p. 1623.
KDD-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.
KDD-2015-ChenXZX: Differentially Private High-Dimensional Data Publication via Sampling-Based Inference (RC, QX, YZ, JX), pp. 129–138.
KDD-2015-DhurandharGRME #big data #risk management: Big Data System for Analyzing Risky Procurement Entities (AD, BG, RKR, GM, ME), pp. 1741–1750.
KDD-2015-Durrant-Whyte #machine learning: Data, Knowledge and Discovery: Machine Learning meets Natural Science (HDW), p. 7.
KDD-2015-FanEWAH #health #personalisation: Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data (KF, ME, AW, AA, KAH), pp. 239–248.
KDD-2015-FeldmanT #approximate #big data #constraints #matrix: More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data (DF, TT), pp. 249–258.
KDD-2015-FuA #data-driven: Data-Driven Product Innovation (XF, HA), pp. 2311–2312.
KDD-2015-GreenCCMPM #mining: Mining Administrative Data to Spur Urban Revitalization (BG, AC, MC, RM, TP, AM), pp. 1829–1838.
KDD-2015-HasanW: Data Science at Visa (WH, MW), p. 1627.
KDD-2015-HsiehLZ #big data #quality #recommendation: Inferring Air Quality for Station Location Recommendation Based on Urban Big Data (HPH, SDL, YZ), pp. 437–446.
KDD-2015-John #big data #case study #how: How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study (GJ), p. 1629.
KDD-2015-Kamath #data-driven #optimisation: Optimizing Marketing Impact through Data Driven Decisioning (AK), p. 1631.
KDD-2015-Kifer #category theory #on the: On Estimating the Swapping Rate for Categorical Data (DK), pp. 557–566.
KDD-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.
KDD-2015-MinorDC #algorithm #data-driven #evaluation #predict #process: Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications (BM, JRD, DJC), pp. 805–814.
KDD-2015-MitraKBASMSL #correlation: Voltage Correlations in Smart Meter Data (RM, RK, SB, VA, BS, RM, HS, GL), pp. 1999–2008.
KDD-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.
KDD-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.
KDD-2015-ShanahanD #distributed #scalability #using: Large Scale Distributed Data Science using Apache Spark (JGS, LD), pp. 2323–2324.
KDD-2015-SongLZ #clustering: Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
KDD-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.
KDD-2015-VanchinathanMRK: Discovering Valuable items from Massive Data (HPV, AM, CAR, DK, AK), pp. 1195–1204.
KDD-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.
KDD-2015-WangYLXXCR #predict #using: Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (YW, NJY, DL, LX, XX, EC, YR), pp. 1275–1284.
KDD-2015-White #enterprise: Data Science from the Lab to the Field to the Enterprise (CW), p. 1637.
KDD-2015-WickerKDSBKW0 #data mining #mining #smell: Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.
KDD-2015-WuYC #predict #realtime: Predicting Winning Price in Real Time Bidding with Censored Data (WCHW, MYY, MSC), pp. 1305–1314.
KDD-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.
KDD-2015-YangLJ #big data #data analysis #optimisation: Big Data Analytics: Optimization and Randomization (TY, QL, RJ), p. 2327.
KDD-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.
KDD-2015-ZhangZMH #assembly #co-evolution #named #performance: Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data (CZ, YZ, XM, JH), pp. 1415–1424.
KDD-2015-ZhengP #fault #kernel #scalability: L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
KDD-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.
KDD-2015-ZoumpatianosLPG #query: Query Workloads for Data Series Indexes (KZ, YL, TP, JG), pp. 1603–1612.
MLDM-2015-Al-SaleemAAB #education #mining #performance #predict #student: Mining Educational Data to Predict Students’ Academic Performance (MAS, NAK, SAO, GB), pp. 403–414.
MLDM-2015-AlzahraniAAB #data analysis: Data Analysis for Courses Registration (NA, RA, NA, GB), pp. 357–367.
MLDM-2015-Chou #data-driven #geometry #learning: Data Driven Geometry for Learning (EPC), pp. 395–402.
MLDM-2015-KarkkainenS #analysis #component #robust: Robust Principal Component Analysis of Data with Missing Values (TK, MS), pp. 140–154.
MLDM-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.
MLDM-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.
MLDM-2015-RibeiroOFVC #modelling: Patient-Specific Modeling of Medical Data (GASR, ACMdO, ALSF, SV, GFC), pp. 415–424.
MLDM-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.
MLDM-2015-TreechalongRW #clustering #using: Semi-Supervised Stream Clustering Using Labeled Data Points (KT, TR, KW), pp. 281–295.
RecSys-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.
RecSys-2015-Geuens #behaviour #hybrid #recommendation: Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data (SG), pp. 379–382.
RecSys-2015-HopfgartnerKHT #realtime #recommendation: Real-time Recommendation of Streamed Data (FH, BK, TH, RT), pp. 361–362.
RecSys-2015-Ludmann #data type #online #recommendation: Online Recommender Systems based on Data Stream Management Systems (CAL), pp. 391–394.
RecSys-2015-ShalomBRZA #matter #quality #recommendation: Data Quality Matters in Recommender Systems (OSS, SB, RR, EZ, AA), pp. 257–260.
SEKE-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.
SEKE-2015-GaoKN #set: Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data (KG, TMK, AN), pp. 439–444.
SEKE-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.
SEKE-2015-NetoSZD #network #using: Using implications from FCA to represent a two mode network data (SMN, MAJS, LEZ, SMD), pp. 256–259.
SEKE-2015-RadulovicGG #rdf #towards: Towards the Anonymisation of RDF Data (FR, RGC, AGP), pp. 646–651.
SEKE-2015-SaberE #algorithm #array #clustering #novel: BiBinConvmean : A Novel Biclustering Algorithm for Binary Microarray Data (HBS, ME), pp. 178–181.
SEKE-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.
SEKE-2015-WangKN #feature model #re-engineering: Stability of Three Forms of Feature Selection Methods on Software Engineering Data (HW, TMK, AN), pp. 385–390.
SIGIR-2015-ChakrabortyGP #corpus #retrieval: Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data (AC, KG, SKP), pp. 755–758.
SIGIR-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.
MoDELS-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.
MoDELS-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.
Onward-2015-WaelMKSM #data type: Just-in-time data structures (MDW, SM, JDK, JBS, WDM), pp. 61–75.
OOPSLA-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.
OOPSLA-2015-CohenP #automation #data type #memory management: Automatic memory reclamation for lock-free data structures (NC, EP), pp. 260–279.
OOPSLA-2015-UrecheBSO #ad hoc #automation #data transformation #representation: Automating ad hoc data representation transformations (VU, AB, YS, MO), pp. 801–820.
PADL-2015-BalducciniKS #semantics: Ontology-Driven Data Semantics Discovery for Cyber-Security (MB, SK, JS), pp. 1–16.
POPL-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.
POPL-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.
POPL-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.
POPL-2015-VeanesMML #source code #string: Data-Parallel String-Manipulating Programs (MV, TM, DM, BL), pp. 139–152.
SAC-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.
SAC-2015-BarbosaBA #monitoring: Defending against load monitoring in smart metering data through noise addition (PB, AB, HA), pp. 2218–2224.
SAC-2015-BarddalGE #algorithm #clustering #data type #named #social: SNCStream: a social network-based data stream clustering algorithm (JPB, HMG, FE), pp. 935–940.
SAC-2015-BlombergBR #evolution #robust: Evolving regression trees robust to missing data (LCB, RCB, DDR), pp. 102–109.
SAC-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.
SAC-2015-ChengCCHT #deployment #smarttech: The deployment of shared data objects among handheld and wearable devices (SWC, CWC, YHC, PCH, CHT), pp. 2245–2251.
SAC-2015-ChengKWT #scalability #semantics #throughput #web: High throughput indexing for large-scale semantic web data (LC, SK, TEW, GT), pp. 416–422.
SAC-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.
SAC-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.
SAC-2015-Fongen #tuple: Data-centric authorization and integrity control in a Linda tuplespace (AF), pp. 1827–1833.
SAC-2015-GayathriK #rdf #rule-based: Horn-rule based compression technique for RDF data (VG, PSK), pp. 396–401.
SAC-2015-GomesBE #classification #data type #learning: Pairwise combination of classifiers for ensemble learning on data streams (HMG, JPB, FE), pp. 941–946.
SAC-2015-HublerRFS #data flow #named #using: P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model (PH, DDAR, JEF, ONdS), pp. 54–57.
SAC-2015-JesusVB #functional #testing #web: Leveraging task-based data to support functional testing of web applications (FRdJ, LGdV, LABJ), pp. 783–790.
SAC-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.
SAC-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.
SAC-2015-KaplanisKSMT: HB+tree: use hadoop and HBase even your data isn’t that big (AK, MK, SS, CM, GT), pp. 973–980.
SAC-2015-LagoMM #estimation #network #power management: High speed network impacts and power consumption estimation for cloud data centers (DGdL, ERMM, DM), pp. 615–620.
SAC-2015-LoffRM #predict #social #social media: Predicting well-being with geo-referenced data collected from social media platforms (JL, MR, BM), pp. 1167–1173.
SAC-2015-LopesT #framework #performance: A framework for investigating the performance of sum aggregations over encrypted data warehouses (CCL, VCT), pp. 1000–1007.
SAC-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.
SAC-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.
SAC-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.
SAC-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.
SAC-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.
SAC-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.
SAC-2015-ReadPB #data type #learning: Deep learning in partially-labeled data streams (JR, FPC, AB), pp. 954–959.
SAC-2015-Rekha #big data #detection #performance #using: A fast support vector data description system for anomaly detection using big data (AGR), pp. 931–932.
SAC-2015-RychnovskyH #generative #query #xml #xpath: Generating XML data for XPath queries (DR, IH), pp. 724–731.
SAC-2015-SeifertSG #personalisation #set #towards: Towards a feature-rich data set for personalized access to long-tail content (CS, JS, MG), pp. 1031–1038.
SAC-2015-SilvaLP #locality #multi #replication: Boosting locality in multi-version partial data replication (JAS, JL, HP), pp. 1309–1314.
SAC-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.
SAC-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.
SAC-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-FSE-2015-ArcuriFG #automation #generative #network #testing: Generating TCP/UDP network data for automated unit test generation (AA, GF, JPG), pp. 155–165.
ESEC-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.
ICSE-v1-2015-AvdiienkoKGZARB #mining: Mining Apps for Abnormal Usage of Sensitive Data (VA, KK, AG, AZ, SA, SR, EB), pp. 426–436.
ICSE-v1-2015-BocicB #performance #verification: Coexecutability for Efficient Verification of Data Model Updates (IB, TB), pp. 744–754.
ICSE-v1-2015-DenaroMPV #data flow #object-oriented #testing: Dynamic Data Flow Testing of Object Oriented Systems (GD, AM, MP, MV), pp. 947–958.
ICSE-v1-2015-DeweyNH #automation #data type #generative: Automated Data Structure Generation: Refuting Common Wisdom (KD, LN, BH), pp. 32–43.
ICSE-v1-2015-GopanDNNLM: Data-Delineation in Software Binaries and its Application to Buffer-Overrun Discovery (DG, ED, DN, DN, AL, DM), pp. 145–155.
ICSE-v1-2015-PetersML #fault #named #predict #privacy: LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction (FP, TM, LL), pp. 801–811.
ICSE-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.
ICSE-v2-2015-Avdiienko #mining: Mining Patterns of Sensitive Data Usage (VA), pp. 891–894.
ICSE-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.
ICSE-v2-2015-Lemieux #invariant #mining: Mining Temporal Properties of Data Invariants (CL), pp. 751–753.
ICSE-v2-2015-MenziesMP #data analysis: The Art and Science of Analyzing Software Data; Quantitative Methods (TM, LLM, FP), pp. 959–960.
ICSE-v2-2015-NagappanM #big data #re-engineering: Big(ger) Data in Software Engineering (MN, MM), pp. 957–958.
ICSE-v2-2015-TanTDM #fault #online #predict: Online Defect Prediction for Imbalanced Data (MT, LT, SD, CM), pp. 99–108.
ICSE-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.
ICSE-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.
ASPLOS-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.
ASPLOS-2015-DavidGT #concurrent #data type #scalability: Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures (TD, RG, VT), pp. 631–644.
ASPLOS-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.
ASPLOS-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.
CC-2015-DarteI #approximate #optimisation #parametricity: Exact and Approximated Data-Reuse Optimizations for Tiling with Parametric Sizes (AD, AI), pp. 151–170.
CGO-2015-ArthurMDA #control flow: Getting in control of your control flow with control-data isolation (WA, BM, RD, TMA), pp. 79–90.
CGO-2015-FauziaPS #memory management: Characterizing and enhancing global memory data coalescing on GPUs (NF, LNP, PS), pp. 12–22.
CGO-2015-LiYLZ #automation #gpu #memory management: Automatic data placement into GPU on-chip memory resources (CL, YY, ZL, HZ), pp. 23–33.
CGO-2015-LuciaC #concurrent #source code: Data provenance tracking for concurrent programs (BL, LC), pp. 146–156.
HPCA-2015-BeckmannTS #distributed #scalability: Scaling distributed cache hierarchies through computation and data co-scheduling (NB, PAT, DS), pp. 538–550.
HPCA-2015-CaiLHMM #memory management #optimisation: Data retention in MLC NAND flash memory: Characterization, optimization, and recovery (YC, YL, EFH, KM, OM), pp. 551–563.
HPCA-2015-IslamMRW #low cost: Paying to save: Reducing cost of colocation data center via rewards (MAI, AHM, SR, XW), pp. 235–245.
HPDC-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.
HPDC-2015-ChengIGB #data analysis #in the cloud #named: CAST: Tiering Storage for Data Analytics in the Cloud (YC, MSI, AG, ARB), pp. 45–56.
HPDC-2015-SuWA #data analysis #generative #performance: In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps (YS, YW, GA), pp. 61–72.
ISMM-2015-CohenP #data type #garbage collection: Data structure aware garbage collector (NC, EP), pp. 28–40.
LCTES-2015-BardizbanyanSWL #data access #performance #using: Improving Data Access Efficiency by Using Context-Aware Loads and Stores (AB, MS, DBW, PLE), p. 10.
PPoPP-2015-MajoG #composition #library #locality #optimisation: A library for portable and composable data locality optimizations for NUMA systems (ZM, TRG), pp. 227–238.
PPoPP-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.
SOSP-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.
CAV-2015-FisherKPW #execution #network: Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data (JF, ASK, NP, SW), pp. 544–560.
ICLP-2015-CruzRG #data-driven #logic programming #parallel #source code #thread: Thread-Aware Logic Programming for Data-Driven Parallel Programs (FC, RR, SCG).
ICLP-2015-Hallen #data mining #higher-order #logic #mining #specification: Higher Order Support in Logic Specification Languages for Data Mining Applications (MvdH).
ICLP-J-2015-MannaRT #consistency #query #scalability: Taming primary key violations to query large inconsistent data via ASP (MM, FR, GT), pp. 696–710.
ICST-2015-LiEGO #big data #framework #scalability: A Scalable Big Data Test Framework (NL, AE, YG, JO), pp. 1–2.
ICST-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.
ICST-2015-PouldingF #generative #testing: Re-Using Generators of Complex Test Data (SMP, RF), pp. 1–10.
ICST-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.
ISSTA-2015-MusluBM #fault #testing: Preventing data errors with continuous testing (KM, YB, AM), pp. 373–384.
LICS-2015-Kifer #privacy: Privacy and the Price of Data (DK), p. 16.
RTA-2015-Kirchner #data analysis #graph: Port Graphs, Rules and Strategies for Dynamic Data Analytics — Extended Abstract (Invited Talk) (HK), pp. 1–4.
SAT-2015-IvriiRS #incremental #mining #satisfiability: Mining Backbone Literals in Incremental SAT — A New Kind of Incremental Data (AI, VR, OS), pp. 88–103.
VMCAI-2015-MukundRS #bound #data type #implementation: Bounded Implementations of Replicated Data Types (MM, GSR, SPS), pp. 355–372.
QoSA-2014-BuhnovaCF #bibliography #modelling #predict #reliability: Failure data collection for reliability prediction models: a survey (BB, SC, LF), pp. 83–92.
WICSA-2014-HarperD #agile #architecture #data analysis: Agile Software Architecture in Advanced Data Analytics (KEH, AD), pp. 243–246.
ASE-2014-HamidiAL #adaptation #using: Constructing adaptive configuration dialogs using crowd data (SH, PA, SL), pp. 485–490.
ASE-2014-LiC #runtime #validation: Symbolic state validation through runtime data (YL, SCC), pp. 187–198.
ASE-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.
ASE-2014-StephenSSE #big data #program analysis: Program analysis for secure big data processing (JJS, SS, RS, PTE), pp. 277–288.
CASE-2014-HungCYDYW #behaviour #data mining #mining: Data mining for analysing kiosk usage behavior patterns (YSH, KLBC, CTY, GFD, YHY, NCW), pp. 1115–1120.
CASE-2014-LinW: Applications of data assimilation to forecasting indoor environment (CCL, LW), pp. 1097–1102.
CASE-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.
CASE-2014-YuM #approach #data-driven #detection #statistics: Data-driven bottleneck detection in manufacturing systems: A statistical approach (CY, AM), pp. 710–715.
DAC-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.
DAC-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.
DAC-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.
DAC-2014-MukherjeeL: Leveraging pre-silicon data to diagnose out-of-specification failures in mixed-signal circuits (PM, PL), p. 6.
DAC-2014-SarmaVD #distributed #middleware #mobile #perspective: Sense-making from Distributed and Mobile Sensing Data: A Middleware Perspective (SS, NV, ND), p. 6.
DAC-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.
DAC-2014-WangA #constraints #data mining #mining: Data Mining In EDA — Basic Principles, Promises, and Constraints (LCW, MSA), p. 6.
DAC-2014-YounGK #debugging #locality #probability #statistics: Probabilistic Bug Localization via Statistical Inference based on Partially Observed Data (SY, CG, JK), p. 6.
DATE-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.
DATE-2014-AksanliR #data transformation: Providing regulation services and managing data center peak power budgets (BA, TR), pp. 1–4.
DATE-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.
DATE-2014-DelvauxV: Key-recovery attacks on various RO PUF constructions via helper data manipulation (JD, IV), pp. 1–6.
DATE-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.
DATE-2014-HillerS #performance: Increasing the efficiency of syndrome coding for PUFs with helper data compression (MH, GS), pp. 1–6.
DATE-2014-KeramidasMKN #predict: Spatial pattern prediction based management of faulty data caches (GK, MM, AK, DN), pp. 1–6.
DATE-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.
DATE-2014-MeeusS #automation #reuse #synthesis: Automating data reuse in High-Level Synthesis (WM, DS), pp. 1–4.
DATE-2014-RoyJ #named #optimisation #thread: ALLARM: Optimizing sparse directories for thread-local data (AR, TMJ), pp. 1–6.
DATE-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.
DATE-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.
DocEng-2014-SchmitzP #big data #tool support: Humanist-centric tools for big data: berkeley prosopography services (PS, LP), pp. 179–188.
DRR-2014-TaghvaA #fault #identification #web: Utilizing web data in identification and correction of OCR errors (KT, SA), pp. 902109–6.
HT-2014-AbbasiTL #learning #scalability #using: Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.
HT-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.
HT-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.
HT-2014-KotoulasLSSTA #approach #coordination #linked data #open data: A linked data approach to care coordination (SK, VL, MLS, MS, PT, PMA), pp. 77–87.
HT-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.
HT-2014-SubercazeG #named #recognition: FoP: never-ending face recognition and data lifting (JS, CG), pp. 321–323.
HT-2014-ThomeeM #automation #equivalence: Automatic discovery of global and local equivalence relationships in labeled geo-spatial data (BT, GDFM), pp. 158–168.
PODS-2014-FanGL #big data #independence #on the #query: On scale independence for querying big data (WF, FG, LL), pp. 51–62.
PODS-2014-Haas #challenge #ecosystem #roadmap #tool support: Model-data Ecosystems: challenges, tools, and trends (PJH), pp. 76–87.
PODS-2014-Libkin #how #semistructured data #what: Incomplete data: what went wrong, and how to fix it (LL), pp. 1–13.
SIGMOD-2014-0001SW #data flow #named #source code: BabbleFlow: a translator for analytic data flow programs (PJ, AS, KW), pp. 713–716.
SIGMOD-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.
SIGMOD-2014-ArasuEKR #query: Querying encrypted data (AA, KE, RK, RR), pp. 1259–1261.
SIGMOD-2014-BlanasWBDS #data analysis #parallel: Parallel data analysis directly on scientific file formats (SB, KW, SB, BD, AS), pp. 385–396.
SIGMOD-2014-ChalamallaIOP: Descriptive and prescriptive data cleaning (AC, IFI, MO, PP), pp. 445–456.
SIGMOD-2014-ChengR #parallel: Parallel in-situ data processing with speculative loading (YC, FR), pp. 1287–1298.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2014-EmrichFKNRZ #framework #nondeterminism: An extendable framework for managing uncertain spatio-temporal data (TE, MF, HPK, JN, MR, AZ), pp. 1087–1090.
SIGMOD-2014-GaoJLO #named: DSH: data sensitive hashing for high-dimensional k-nnsearch (JG, HVJ, WL, BCO), pp. 1127–1138.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2014-HanW #mining: Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2014-IstvanWA #big data #data flow: Histograms as a side effect of data movement for big data (ZI, LW, GA), pp. 1567–1578.
SIGMOD-2014-KalininCZ #data analysis #interactive #semantics #using: Interactive data exploration using semantic windows (AK, UÇ, SBZ), pp. 505–516.
SIGMOD-2014-KaoudiM #data transformation #rdf: Cloud-based RDF data management (ZK, IM), pp. 725–729.
SIGMOD-2014-KaranasosBKOEXJ #optimisation #query #scalability: Dynamically optimizing queries over large scale data platforms (KK, AB, MK, FÖ, VE, CX, JJ), pp. 943–954.
SIGMOD-2014-Kroetsch #database #in memory #multi #statistics: Multi-dimensional data statistics for columnar in-memory databases (CK), pp. 1605–1606.
SIGMOD-2014-LeFevreSHTPC #big data #data analysis #design #physics: Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
SIGMOD-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.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2014-LiuHM #data transformation #development: JSON data management: supporting schema-less development in RDBMS (ZHL, BCH, DM), pp. 1247–1258.
SIGMOD-2014-OzcanTAKMRW #big data #question: Are we experiencing a big data bubble? (FÖ, NT, DJA, MK, CM, KR, JLW), pp. 1407–1408.
SIGMOD-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.
SIGMOD-2014-ParameswaranTGW #named #tool support: DataSift: a crowd-powered search toolkit (AGP, MHT, HGM, JW), pp. 885–888.
SIGMOD-2014-ParkW #named: CrowdFill: collecting structured data from the crowd (HP, JW), pp. 577–588.
SIGMOD-2014-PochampallySDMS #correlation: Fusing data with correlations (RP, ADS, XLD, AM, DS), pp. 433–444.
SIGMOD-2014-RekatsinasDS #data flow: Characterizing and selecting fresh data sources (TR, XLD, DS), pp. 919–930.
SIGMOD-2014-RheinlanderBKHSL #data flow #optimisation: Versatile optimization of UDF-heavy data flows with sofa (AR, MB, AK, AH, TS, UL), pp. 685–688.
SIGMOD-2014-ShiCDO #ad hoc #towards: Towards unified ad-hoc data processing (XS, BC, GD, BCO), pp. 1263–1274.
SIGMOD-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.
SIGMOD-2014-SunFKX #clustering #fine-grained: Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
SIGMOD-2014-TaharaDA #multi #named #sql: Sinew: a SQL system for multi-structured data (DT, TD, DJA), pp. 815–826.
SIGMOD-2014-TranNST #approach #clustering #named: JECB: a join-extension, code-based approach to OLTP data partitioning (KQT, JFN, BS, DT), pp. 39–50.
SIGMOD-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.
SIGMOD-2014-WangT #program repair #towards: Towards dependable data repairing with fixing rules (JW, NT), pp. 457–468.
SIGMOD-2014-WesleyT: Leveraging compression in the tableau data engine (RMGW, PT), pp. 563–573.
SIGMOD-2014-WongKCLY #database #query: Secure query processing with data interoperability in a cloud database environment (WKW, BK, DWLC, RL, SMY), pp. 1395–1406.
SIGMOD-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.
SIGMOD-2014-XuKM #framework #multi #nondeterminism #performance #summary: Efficient summarization framework for multi-attribute uncertain data (JX, DVK, SM), pp. 421–432.
SIGMOD-2014-YamamotoIF #approximate #data type #mining: Resource-oriented approximation for frequent itemset mining from bursty data streams (YY, KI, SF), pp. 205–216.
SIGMOD-2014-YangTLRMG #named #realtime: Druid: a real-time analytical data store (FY, ET, XL, NR, GM, DG), pp. 157–168.
SIGMOD-2014-ZhangCPSX #named #network: PrivBayes: private data release via bayesian networks (JZ, GC, CMP, DS, XX), pp. 1423–1434.
SIGMOD-2014-ZhangYFLY #named #realtime #scalability: OceanRT: real-time analytics over large temporal data (SZ, YY, WF, LL, MY), pp. 1099–1102.
SIGMOD-2014-ZhuSL0Z: Matching heterogeneous event data (XZ, SS, XL, JW, LZ), pp. 1211–1222.
SIGMOD-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.
SIGMOD-2014-ZoumpatianosIP #big data #interactive: Indexing for interactive exploration of big data series (KZ, SI, TP), pp. 1555–1566.
VLDB-2014-AnciauxBDIKMP #named: Folk-IS: Opportunistic Data Services in Least Developed Countries (NA, LB, TD, SI, LK, NM, PP), pp. 425–428.
VLDB-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.
VLDB-2014-BenediktLT #named #query: PDQ: Proof-driven Query Answering over Web-based Data (MB, JL, ET), pp. 1553–1556.
VLDB-2014-BressHSKMS #hardware #named: Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware (SB, MH, MS, BK, VM, GS), pp. 1609–1612.
VLDB-2014-CaoWR #big data #data type #interactive: Interactive Outlier Exploration in Big Data Streams (LC, QW, EAR), pp. 1621–1624.
VLDB-2014-DeutchMT #analysis #framework #process: A Provenance Framework for Data-Dependent Process Analysis (DD, YM, VT), pp. 457–468.
VLDB-2014-DongGHHMSZ #data fusion: From Data Fusion to Knowledge Fusion (XLD, EG, GH, WH, KM, SS, WZ), pp. 881–892.
VLDB-2014-Duggan #data-driven: The Case for Personal Data-Driven Decision Making (JD), pp. 943–946.
VLDB-2014-EldawyLL #database: Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database (AE, JJL, PÅL), pp. 931–942.
VLDB-2014-FloratouBPL #design #towards: Towards Building Wind Tunnels for Data Center Design (AF, FB, JMP, GL), pp. 781–784.
VLDB-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.
VLDB-2014-GankidiTPHD: Indexing HDFS Data in PDW: Splitting the data from the index (VRG, NT, JMP, AH, DJD), pp. 1520–1528.
VLDB-2014-GhashamiPL #approximate #distributed #matrix: Continuous Matrix Approximation on Distributed Data (MG, JMP, FL), pp. 809–820.
VLDB-2014-GoncalvesP #named #nondeterminism: Υ-DB: Managing scientific hypotheses as uncertain data (BG, FP), pp. 959–962.
VLDB-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.
VLDB-2014-HassanSWZLYY #automation #monitoring: Data In, Fact Out: Automated Monitoring of Facts by FactWatcher (NH, AS, YW, GZ, CL, JY, CY), pp. 1557–1560.
VLDB-2014-He #approximate #challenge #data transformation #hardware: When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities (BH), pp. 877–880.
VLDB-2014-JacobKS #analysis: A System for Management and Analysis of Preference Data (MJ, BK, JS), pp. 1255–1258.
VLDB-2014-Jiang0OTW #big data #named #scalability: epiC: an Extensible and Scalable System for Processing Big Data (DJ, GC, BCO, KLT, SW), pp. 541–552.
VLDB-2014-JugelJM #named #visualisation: M4: A Visualization-Oriented Time Series Data Aggregation (UJ, ZJ, GH, VM), pp. 797–808.
VLDB-2014-KarpathiotakisBAA #adaptation #query: Adaptive Query Processing on RAW Data (MK, MB, IA, AA), pp. 1119–1130.
VLDB-2014-KonstantinidisA #constraints #integration #optimisation #scalability: Optimizing the Chase: Scalable Data Integration under Constraints (GK, JLA), pp. 1869–1880.
VLDB-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.
VLDB-2014-LeiZRE #big data #framework #query: Redoop Infrastructure for Recurring Big Data Queries (CL, ZZ, EAR, MYE), pp. 1589–1592.
VLDB-2014-LiagourisMBT #effectiveness #encoding #rdf: An Effective Encoding Scheme for Spatial RDF Data (JL, NM, PB, MT), pp. 1271–1282.
VLDB-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.
VLDB-2014-LiLZ #big data #challenge #enterprise: Enterprise Search in the Big Data Era: Recent Developments and Open Challenges (YL, ZL, HZ), pp. 1717–1718.
VLDB-2014-LinK #on the #query: On Arbitrage-free Pricing for General Data Queries (BRL, DK), pp. 757–768.
VLDB-2014-LiP #named: WideTable: An Accelerator for Analytical Data Processing (YL, JMP), pp. 907–918.
VLDB-2014-LiXZJ #named #privacy: DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing (HL, LX, LZ, XJ), pp. 1677–1680.
VLDB-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.
VLDB-2014-MortonBGM #challenge: Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems (KM, MB, DG, JDM), pp. 453–456.
VLDB-2014-PetermannJMR #graph #integration: Graph-based Data Integration and Business Intelligence with BIIIG (AP, MJ, RM, ER), pp. 1577–1580.
VLDB-2014-PoessRC #benchmark #industrial #integration #metric #named: TPC-DI: The First Industry Benchmark for Data Integration (MP, TR, BC), pp. 1367–1378.
VLDB-2014-ProserpioGM #data analysis: Calibrating Data to Sensitivity in Private Data Analysis (DP, SG, FM), pp. 637–648.
VLDB-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.
VLDB-2014-SuchanekW #big data #data analysis #knowledge base: Knowledge Bases in the Age of Big Data Analytics (FMS, GW), pp. 1713–1714.
VLDB-2014-SunKXF #clustering #framework: A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
VLDB-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.
VLDB-2014-SuZZHZ #named: STMaker — A System to Make Sense of Trajectory Data (HS, KZ, KZ, JH, XZ), pp. 1701–1704.
VLDB-2014-WangKLW #multi #named: Terrain-Toolkit: A Multi-Functional Tool for Terrain Data (QW, MK, CL, RCWW), pp. 1645–1648.
VLDB-2014-WangMO #lightweight: Lightweight Indexing of Observational Data in Log-Structured Storage (SW, DM, BCO), pp. 529–540.
VLDB-2014-WuBM #visualisation: The Case for Data Visualization Management Systems (EW, LB, SRM), pp. 903–906.
VLDB-2014-WuC0SCB #big data #named: yzBigData: Provisioning Customizable Solution for Big Data (SW, GC, KC, LS, HC, HB), pp. 1778–1783.
VLDB-2014-WuLLH #mining: MoveMine 2.0: Mining Object Relationships from Movement Data (FW, TKHL, ZL, JH), pp. 1613–1616.
VLDB-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.
VLDB-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.
VLDB-2014-YanCZ #bound: Error-bounded Sampling for Analytics on Big Sparse Data (YY, LJC, ZZ), pp. 1508–1519.
VLDB-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.
VLDB-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.
VLDB-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.
VLDB-2014-ZhangTCO #analysis #data transformation #in memory #performance: Efficient In-memory Data Management: An Analysis (HZ, BMT, GC, BCO), pp. 833–836.
VLDB-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.
VLDB-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.
VLDB-2015-AlexeRT14 #integration: Preference-aware Integration of Temporal Data (BA, MR, WCT), pp. 365–376.
VLDB-2015-DallachiesaPI14 #nearest neighbour #nondeterminism: Top-k Nearest Neighbor Search In Uncertain Data Series (MD, TP, IFI), pp. 13–24.
VLDB-2015-GraefeVKKTLV14 #big data #in memory #performance: In-Memory Performance for Big Data (GG, HV, HK, HAK, JT, ML, ACV), pp. 37–48.
VLDB-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.
VLDB-2015-WangZZLW14 #correlation #estimation #streaming #using: Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations (XW, YZ, WZ, XL, WW), pp. 101–112.
ITiCSE-2014-Marttila-KontioKH #data analysis #education #student: Advanced data analytics education for students and companies (MMK, MK, VH), pp. 249–254.
ESOP-2014-BenzakenCD #coq #formal method #relational: A Coq Formalization of the Relational Data Model (VB, EC, SD), pp. 189–208.
FASE-2014-CavalcantiG #data flow #testing: Data Flow Coverage for Circus-Based Testing (AC, MCG), pp. 415–429.
CSMR-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.
ICPC-2014-MaruyamaOH #comprehension #visualisation: A visualization tool recording historical data of program comprehension tasks (KM, TO, SH), pp. 207–211.
ICPC-2014-White #data type #identification #named: dsOli: data structure operation location and identification (DHW), pp. 48–52.
ICSME-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.
ICSME-2014-ZhouTGG #classification #data mining #debugging #mining: Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.
MSR-2014-AndersonSD #effectiveness #mining #testing: Improving the effectiveness of test suite through mining historical data (JA, SS, HD), pp. 142–151.
MSR-2014-BaldassariP #comprehension #evolution #set: Understanding software evolution: the maisqual ant data set (BB, PP), pp. 424–427.
MSR-2014-GousiosVSZ #agile #git: Lean GHTorrent: GitHub data on demand (GG, BV, AS, AZ), pp. 384–387.
MSR-2014-MertenMBP #natural language #semistructured data: Classifying unstructured data into natural language text and technical information (TM, BM, SB, BP), pp. 300–303.
MSR-2014-Mockus #mining #repository: Is mining software repositories data science? (keynote) (AM), p. 1.
PLDI-2014-AlglaveMT #memory management #modelling #simulation #testing: Herding cats: modelling, simulation, testing, and data-mining for weak memory (JA, LM, MT), p. 7.
PLDI-2014-LeG #framework #named: FlashExtract: a framework for data extraction by examples (VL, SG), p. 55.
PLDI-2014-PekQM #c #data type #logic #proving #using: Natural proofs for data structure manipulation in C using separation logic (EP, XQ, PM), p. 46.
PLDI-2014-StockKGPRRS #framework #order #reuse: A framework for enhancing data reuse via associative reordering (KS, MK, TG, LNP, FR, JR, PS), p. 10.
PLDI-2014-SurendranRCMS #parallel #source code #testing: Test-driven repair of data races in structured parallel programs (RS, RR, SC, JMMC, VS), p. 3.
STOC-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.
FLOPS-2014-ClaessenDP #generative #random: Generating Constrained Random Data with Uniform Distribution (KC, JD, MHP), pp. 18–34.
DLT-J-2013-TanV14 #graph #query #regular expression: Regular Expressions for Querying Data graphs (TT, DV), pp. 971–986.
AFL-2014-CarapelleFGQ13 #game studies #word: Ehrenfeucht-Fraisse Games for TPTL and MTL over Non-monotonic Data Words (CC, SF, OFG, KQ), pp. 174–187.
ICALP-v1-2014-CanonneR #probability #testing: Testing Probability Distributions Underlying Aggregated Data (CLC, RR), pp. 283–295.
ICALP-v1-2014-ReingoldRW #data type #graph #pseudo: Pseudorandom Graphs in Data Structures (OR, RDR, UW), pp. 943–954.
ICALP-v1-2014-WangY #data type: Certificates in Data Structures (YW, YY), pp. 1039–1050.
ICALP-v2-2014-ChalopinJMW #energy #mobile: Data Delivery by Energy-Constrained Mobile Agents on a Line (JC, RJ, MM, PW), pp. 423–434.
LATA-2014-CarapelleFGQ #satisfiability #word: Satisfiability for MTL and TPTL over Non-monotonic Data Words (CC, SF, OFG, KQ), pp. 248–259.
LATA-2014-LiPT #probability #process #simulation: Probabilistic Simulation for Probabilistic Data-Aware Business Processes (HL, FP, FT), pp. 503–515.
FM-2014-ButinM #analysis: Log Analysis for Data Protection Accountability (DB, DLM), pp. 163–178.
IFM-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.
IFM-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.
SEFM-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.
ICFP-2014-ChenAT #functional #programming #scalability #self: Functional programming for dynamic and large data with self-adjusting computation (YC, UAA, KT), pp. 227–240.
ICFP-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.
IFL-2014-KoopmanPJ #data type #encoding #functional #harmful #implementation: Church Encoding of Data Types Considered Harmful for Implementations: Functional Pearl (PWMK, RP, JMJ), p. 4.
CHI-2014-BrubakerDGKH #legacy: Stewarding a legacy: responsibilities and relationships in the management of post-mortem data (JRB, LD, AMG, NK, GRH), pp. 4157–4166.
CHI-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.
CHI-2014-ChoeLLPK #comprehension: Understanding quantified-selfers’ practices in collecting and exploring personal data (EKC, NBL, BL, WP, JAK), pp. 1143–1152.
CHI-2014-GlueckKW #exclamation #navigation #realtime #visualisation: Dive in!: enabling progressive loading for real-time navigation of data visualizations (MG, AK, DJW), pp. 561–570.
CHI-2014-LuiKAQS #simulation: Supporting learners in collecting and exploring data from immersive simulations in collective inquiry (ML, ACK, AA, CQ, JDS), pp. 2103–2112.
CHI-2014-RzeszotarskiK #multi #named #visualisation: Kinetica: naturalistic multi-touch data visualization (JMR, AK), pp. 897–906.
CHI-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.
CHI-2014-SoloveyZPRM #performance #using: Classifying driver workload using physiological and driving performance data: two field studies (ETS, MZ, EAGP, BR, BM), pp. 4057–4066.
CHI-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.
CHI-2014-YurutenZP #mobile #predict #process: Predictors of life satisfaction based on daily activities from mobile sensor data (OY, JZ, PHZP), pp. 497–500.
CHI-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.
CSCW-2014-AndreKD #category theory #clustering #synthesis: Crowd synthesis: extracting categories and clusters from complex data (PA, AK, SPD), pp. 989–998.
CSCW-2014-ChoudhuryCHH #facebook #predict: Characterizing and predicting postpartum depression from shared facebook data (MDC, SC, EH, AH), pp. 626–638.
CSCW-2014-JohriS #framework: The role of data in aligning the “unique identity” infrastructure in India (AJ, JS), pp. 697–709.
CSCW-2014-SheppardWT #monitoring #quality #volunteer: Capturing quality: retaining provenance for curated volunteer monitoring data (SAS, AW, LGT), pp. 1234–1245.
DUXU-DI-2014-AlomariM #towards: Towards Data Confidentiality and Portability in Cloud Storage (EAA, MMM), pp. 38–49.
DUXU-DI-2014-Bockermann #approach #big data #data analysis #programming #visual notation: A Visual Programming Approach to Big Data Analytics (CB), pp. 393–404.
DUXU-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.
DUXU-DP-2014-FarnsworthHHP #data-driven: Cool in Business: Developing a Data-Based Instrument Measuring “Cool” (CF, KH, TH, SP), pp. 232–243.
DUXU-ELAS-2014-Cossio #case study #experience: Transforming Data into Information Experiences (MGdC), pp. 411–422.
HCI-AIMT-2014-ReddyC #artificial reality #process #recognition #using: Human Activity Recognition from Kinect Captured Data Using Stick Model (VRR, TC), pp. 305–315.
HCI-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.
HCI-AS-2014-Hussain #data mining #mining: Getting the Most from CRM Systems: Data Mining in SugarCRM, Finding Important Patterns (QH), pp. 693–699.
HCI-AS-2014-LeeYJ #predict #using: Data Preloading Technique using Intention Prediction (SL, JY, DYJ), pp. 32–41.
HCI-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.
HCI-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.
HCI-TMT-2014-SousaB #recommendation #statistics: Recommender System to Support Chart Constructions with Statistical Data (TAFdS, SDJB), pp. 631–642.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-DE-2014-BoscarioliVTR #clustering #human-computer #tool support: Analyzing HCI Issues in Data Clustering Tools (CB, JV, MFT, VHR), pp. 22–33.
HIMI-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.
HIMI-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.
HIMI-DE-2014-XingGRK #visualisation: Google Analytics Spatial Data Visualization: Thinking Outside of the Box (WX, RG, BR, TRK), pp. 120–127.
LCT-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.
SCSM-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.
SCSM-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.
CAiSE-2014-0001PBKLSFW #automation #process: Automating Data Exchange in Process Choreographies (AM, LP, KB, SK, TL, TS, DF, MW), pp. 316–331.
CAiSE-2014-KalamatianosK #independence #reduction #streaming: Schema Independent Reduction of Streaming Log Data (TK, KK), pp. 394–408.
EDOC-2014-Aalst #enterprise #mining #process: Process Mining as the Superglue Between Data Science and Enterprise Computing (WMPvdA), p. 1.
EDOC-2014-GrogerSM #integration: The Deep Data Warehouse: Link-Based Integration and Enrichment of Warehouse Data and Unstructured Content (CG, HS, BM), pp. 210–217.
EDOC-2014-Ludwig #big data #effectiveness #perspective: Managing Big Data Effectively — A Cloud Provider and a Cloud Consumer Perspective (HL), p. 91.
EDOC-2014-MukkamalaHV #analysis #sentiment #social: Fuzzy-Set Based Sentiment Analysis of Big Social Data (RRM, AH, RKV), pp. 71–80.
EDOC-2014-Pufahl0W #process: Batch Regions: Process Instance Synchronization Based on Data (LP, AM, MW), pp. 150–159.
EDOC-2014-SchutzS #modelling: Customization of Domain-Specific Reference Models for Data Warehouses (CGS, MS), pp. 61–70.
EDOC-2014-VenebergISB #architecture #enterprise: Enterprise Architecture Intelligence: Combining Enterprise Architecture and Operational Data (RKMV, MEI, MvS, LB), pp. 22–31.
ICEIS-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.
ICEIS-v1-2014-AntunesS #data mining #mining #roadmap: New Trends in Knowledge Driven Data Mining (CA, AS), pp. 346–351.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v1-2014-HayashiK #evaluation: Evaluation of Exclusive Data Allocation Between SSD Tier and SSD Cache in Storage Systems (SH, NK), pp. 144–151.
ICEIS-v1-2014-KozievitchHNT #data fusion #image #retrieval: Exploring Data Fusion under the Image Retrieval Domain (NPK, CSH, JN, RdST), pp. 171–178.
ICEIS-v1-2014-Lenz #detection: Data Fraud Detection (HJL), p. XV.
ICEIS-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.
ICEIS-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.
ICEIS-v1-2014-PequenoG #integration #relational #specification: Specifying Complex Correspondences Between Relational Schemas in a Data Integration Environment (VMP, HG), pp. 18–29.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2014-GamaL #as a service #ecosystem #open data #towards: Towards Ecosystems based on Open Data as a Service (KG, BFL), pp. 659–664.
ICEIS-v2-2014-GomesCLL #crawling #linked data #metadata #open data: A Metadata Focused Crawler for Linked Data (RdVAG, MAC, GRL, LAPPL), pp. 489–500.
ICEIS-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.
ICEIS-v2-2014-LiuDT #network #reliability: Auditing Data Reliability in International Logistics — An Application of Bayesian Networks (LL, HAMD, RT), pp. 707–712.
ICEIS-v2-2014-SamejimaMK #flexibility #resource management: Flexible Peak Shaving in Data Center by Suppression of Application Resource Usage (MS, HTM, NK), pp. 355–360.
ICEIS-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.
ICEIS-v2-2014-ThorntonCPHM #detection #health: Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data (DT, GvC, MP, JvH, RMM), pp. 684–694.
ICEIS-v3-2014-BoissierKWP #data transformation #enterprise: An Integrated Data Management for Enterprise Systems (MB, JK, JW, HP), pp. 410–418.
CIKM-2014-ArenasGKMZ #rdf: Faceted Search over Ontology-Enhanced RDF Data (MA, BCG, EK, SM, DZ), pp. 939–948.
CIKM-2014-BoghCSA #data type #named: Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression (KSB, SC, DS, IA), pp. 1767–1770.
CIKM-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.
CIKM-2014-ChenC #data type #incremental #matrix #named: GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams (XC, KSC), pp. 1119–1128.
CIKM-2014-DongLW #as a service #named #privacy: PraDa: Privacy-preserving Data-Deduplication-as-a-Service (BD, RL, WHW), pp. 1559–1568.
CIKM-2014-GressD #flexibility #framework #semistructured data: A Flexible Framework for Projecting Heterogeneous Data (AG, ID), pp. 1169–1178.
CIKM-2014-HsiehL #mining: Mining and Planning Time-aware Routes from Check-in Data (HPH, CTL), pp. 481–490.
CIKM-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.
CIKM-2014-KangLSSK #coordination #distributed #probability: Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression (DK, WL, KS, LS, UK), pp. 1269–1278.
CIKM-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.
CIKM-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.
CIKM-2014-MassS #graph #information management #keyword: Knowledge Management for Keyword Search over Data Graphs (YM, YS), pp. 2051–2053.
CIKM-2014-MeuselMB #crawling: Focused Crawling for Structured Data (RM, PM, RB), pp. 1039–1048.
CIKM-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.
CIKM-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.
CIKM-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.
CIKM-2014-ShangLCC #analysis #component #robust: Robust Principal Component Analysis with Missing Data (FS, YL, JC, HC), pp. 1149–1158.
CIKM-2014-SongG #difference #named #privacy #query: Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering (CS, TG), pp. 1569–1578.
CIKM-2014-TangHCL #interactive #predict: Predictability of Distrust with Interaction Data (JT, XH, YC, HL), pp. 181–190.
CIKM-2014-TangWPTL #approach #detection: An Appliance-Driven Approach to Detection of Corrupted Load Curve Data (GT, KW, JP, JT, JL), pp. 1429–1438.
CIKM-2014-VinzamuriLR #learning: Active Learning based Survival Regression for Censored Data (BV, YL, CKR), pp. 241–250.
CIKM-2014-WangGL #modelling #personalisation #recommendation #transaction: Modeling Retail Transaction Data for Personalized Shopping Recommendation (PW, JG, YL), pp. 1979–1982.
CIKM-2014-WangLBLGZ #big data #named: Cleanix: A Big Data Cleaning Parfait (HW, ML, YB, JL, HG, JZ), pp. 2024–2026.
CIKM-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.
CIKM-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.
CIKM-2014-YangTZ #learning #streaming: Active Learning for Streaming Networked Data (ZY, JT, YZ), pp. 1129–1138.
CIKM-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.
CIKM-2014-ZhangP #graph #nondeterminism #scalability: Scalable Vaccine Distribution in Large Graphs given Uncertain Data (YZ, BAP), pp. 1719–1728.
CIKM-2014-ZhaoCN #approach #data type #probability: Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach (ZZ, JC, WN), pp. 1589–1598.
ECIR-2014-AngeliniFSS #interactive #visual notation: A Visual Interactive Environment for Making Sense of Experimental Data (MA, NF, GS, GS), pp. 767–770.
ECIR-2014-NarducciPS #named #retrieval #semantics: CroSeR: Cross-language Semantic Retrieval of Open Government Data (FN, MP, GS), pp. 793–797.
ECIR-2014-Qian #topic #web: Text-Image Topic Discovery for Web News Data (MQ), pp. 675–680.
ECIR-2014-SchallerHE #detection #smarttech: Detecting Event Visits in Urban Areas via Smartphone GPS Data (RS, MH, DE), pp. 681–686.
ECIR-2014-VoskaridesOTWR #streaming: Query-Dependent Contextualization of Streaming Data (NV, DO, MT, WW, MdR), pp. 706–712.
ICML-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.
ICML-c1-2014-LethamSS #transaction: Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data (BL, WS, AS), pp. 217–225.
ICML-c1-2014-RajkumarA #algorithm #convergence #rank #statistics: A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data (AR, SA), pp. 118–126.
ICML-c2-2014-AziziAG #composition #learning #network: Learning Modular Structures from Network Data and Node Variables (EA, EA, JEG), pp. 1440–1448.
ICML-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.
ICML-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.
ICML-c2-2014-GaboardiAHRW #query: Dual Query: Practical Private Query Release for High Dimensional Data (MG, EJGA, JH, AR, ZSW), pp. 1170–1178.
ICML-c2-2014-Hernandez-LobatoHG14a #matrix #probability: Probabilistic Matrix Factorization with Non-random Missing Data (JMHL, NH, ZG), pp. 1512–1520.
ICML-c2-2014-LindermanA #network #process: Discovering Latent Network Structure in Point Process Data (SWL, RPA), pp. 1413–1421.
ICML-c2-2014-LiZ0 #learning #multi: Bayesian Max-margin Multi-Task Learning with Data Augmentation (CL, JZ, JC), pp. 415–423.
ICML-c2-2014-WangWY #reduction #scalability: Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
ICML-c2-2014-WangY #crowdsourcing: Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data (NW, DYY), pp. 1107–1115.
ICML-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.
ICPR-2014-AlmogahedK #game studies #named #using: NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory (BAA, IAK), pp. 1371–1376.
ICPR-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.
ICPR-2014-BougueliaBB #classification #data type #detection #novel #performance: Efficient Active Novel Class Detection for Data Stream Classification (MRB, YB, AB), pp. 2826–2831.
ICPR-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.
ICPR-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.
ICPR-2014-FrinkenIIFU #recognition: Improving Point of View Scene Recognition by Considering Textual Data (VF, YI, RI, KF, SU), pp. 2966–2971.
ICPR-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.
ICPR-2014-GiordanoPS #estimation #kernel #modelling #using: Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling (DG, SP, CS), pp. 4388–4393.
ICPR-2014-GubarevaSSLM #linear: Finding the Largest Hypercavity in a Linear Data Space (AG, VS, OS, AL, VM), pp. 4406–4410.
ICPR-2014-HsiaoLH #3d #re-engineering: Super-resolution Reconstruction for Binocular 3D Data (WTH, JJL, HHH), pp. 4206–4211.
ICPR-2014-KapsourasN #approach #recognition #using: Action Recognition in Motion Capture Data Using a Bag of Postures Approach (IK, NN), pp. 2649–2654.
ICPR-2014-KimBKC #multi #online #people: MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes (SWK, MB, KK, JYC), pp. 1212–1217.
ICPR-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.
ICPR-2014-LiaoQZ #data-driven #database #visualisation: Visualization of Hyperspectral Imaging Data Based on Manifold Alignment (DL, YQ, JZ), pp. 70–75.
ICPR-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.
ICPR-2014-NguyenGVP #framework #parametricity #process #recognition #using: A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data (TN, SKG, SV, DQP), pp. 2017–2022.
ICPR-2014-NilssonAGF #detection #using: Pedestrian Detection Using Augmented Training Data (JN, PA, IYHG, JF), pp. 4548–4553.
ICPR-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.
ICPR-2014-OskarssonAT #graph #multi #scalability: Prime Rigid Graphs and Multidimensional Scaling with Missing Data (MO, KÅ, AT), pp. 750–755.
ICPR-2014-PerinaKB #array #classification #kernel #using: Expression Microarray Data Classification Using Counting Grids and Fisher Kernel (AP, MK, MB), pp. 1770–1775.
ICPR-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.
ICPR-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.
ICPR-2014-SousaSB #case study #classification #set: Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study (CARdS, VMAdS, GEAPAB), pp. 3780–3785.
ICPR-2014-TaoIWS #approximate #data transformation #rank #representation: Ensemble Manifold Structured Low Rank Approximation for Data Representation (LT, HHSI, YW, XS), pp. 744–749.
ICPR-2014-VellankiDVP #learning #parametricity: Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data (PV, TVD, SV, DQP), pp. 1828–1833.
ICPR-2014-VilaltaGM #adaptation #classification: Domain Adaptation under Data Misalignment: An Application to Cepheid Variable Star Classification (RV, KDG, LM), pp. 3660–3665.
ICPR-2014-WangZH #approach #data-driven #health #named: DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records (FW, JZ, JH), pp. 2763–2768.
ICPR-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.
ICPR-2014-XieUKG #incremental #learning: Incremental Learning with Support Vector Data Description (WX, SU, SK, MG), pp. 3904–3909.
ICPR-2014-YangN #integration #learning #multi: Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration (YY, SN), pp. 4062–4067.
ICPR-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.
ICPR-2014-ZhaiSDJ #multi: Covariance-Based PCA for Multi-size Data (MZ, FS, DD, NJ), pp. 1603–1608.
ICPR-2014-ZhaoF #algorithm #re-engineering #reduction: A Dictionary-Based Algorithm for Dimensionality Reduction and Data Reconstruction (ZZ, GF), pp. 1556–1561.
KDD-2014-AnagnostopoulosT #big data #scalability: Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDD-2014-BadanidiyuruMKK #on the fly #streaming #summary: Streaming submodular maximization: massive data summarization on the fly (AB, BM, AK, AK), pp. 671–680.
KDD-2014-Chen0 #big data #documentation #mining #topic: Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.
KDD-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.
KDD-2014-ChenC14a #spreadsheet: Integrating spreadsheet data via accurate and low-effort extraction (ZC, MJC), pp. 1126–1135.
KDD-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.
KDD-2014-Cohen #distance #performance #query: Distance queries from sampled data: accurate and efficient (EC), pp. 681–690.
KDD-2014-Conway #lens #social: Data science through the lens of social science (DC), p. 1520.
KDD-2014-CormodeD #big data #tutorial: Sampling for big data: a tutorial (GC, NGD), p. 1975.
KDD-2014-Eagle #big data #social: Big data for social good (NE), p. 1522.
KDD-2014-Etzioni #data mining #future of #mining: The battle for the future of data mining (OE), p. 1.
KDD-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.
KDD-2014-GohR #learning: Box drawings for learning with imbalanced data (STG, CR), pp. 333–342.
KDD-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.
KDD-2014-HeFKMP #category theory #clustering: Relevant overlapping subspace clusters on categorical data (XH, JF, BK, STM, CP), pp. 213–222.
KDD-2014-HerodotouDBOF #locality #network #realtime #scalability: Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDD-2014-Horvitz #people #predict: Data, predictions, and decisions in support of people and society (EH), p. 2.
KDD-2014-LichmanS #kernel #modelling: Modeling human location data with mixtures of kernel densities (ML, PS), pp. 35–44.
KDD-2014-LiuZXJ0 #categorisation #visualisation: Temporal skeletonization on sequential data: patterns, categorization, and visualization (CL, KZ, HX, GJ, QY), pp. 1336–1345.
KDD-2014-Munro: Bringing data science to the speakers of every language (RM), p. 1523.
KDD-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.
KDD-2014-PolozovG #automation #named #web: LaSEWeb: automating search strategies over semi-structured web data (OP, SG), pp. 741–750.
KDD-2014-Schadt #approach #data-driven: A data driven approach to diagnosing and treating disease (EES), p. 3.
KDD-2014-ShaoAK #concept #data type #learning #prototype: Prototype-based learning on concept-drifting data streams (JS, ZA, SK), pp. 412–421.
KDD-2014-TangL #probability #scalability: Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
KDD-2014-TongCC #named #performance #topic: TCS: efficient topic discovery over crowd-oriented service data (YT, CCC, LC), pp. 861–870.
KDD-2014-XiaoCT #network: Differentially private network data release via structural inference (QX, RC, KLT), pp. 911–920.
KDD-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.
KDD-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.
KDD-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.
KDD-2014-ZufleESMZR #clustering #nondeterminism: Representative clustering of uncertain data (AZ, TE, KAS, NM, AZ, MR), pp. 243–252.
KDIR-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.
KDIR-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.
KDIR-2014-LinDDG #data analysis: Data Analytics for Power Utility Storm Planning (LL, AD, DD, SSG), pp. 308–314.
KDIR-2014-MojahedI #approach #distance #semistructured data: A Fusion Approach to Computing Distance for Heterogeneous Data (AM, BdlI), pp. 269–276.
KDIR-2014-MorenoGV #data mining #mining #recognition #using #word: Violence Recognition in Spanish Words using Data Mining (AFM, SBGB, JGVR), pp. 210–216.
KDIR-2014-NebotL #linked data #open data #towards: Towards Analytical MD Stars from Linked Data (VN, RBL), pp. 117–125.
KDIR-2014-SatoNS #classification #kernel #using: A Simple Classification Method for Class Imbalanced Data using the Kernel Mean (YS, KN, AS), pp. 327–334.
KDIR-2014-TisserantRP #classification #mining #semantics #statistics #twitter: Mining Tweet Data — Statistic and Semantic Information for Political Tweet Classification (GT, MR, VP), pp. 523–529.
KDIR-2014-VazquezJ: Handling Missing Data in a Tree Species Catalog Proposed for Reforesting Mexico City (HJV, MJM), pp. 457–464.
KEOD-2014-AliG #integration: Ontology-Driven Mediated Data Integration in Open Environment (IA, HG), pp. 230–239.
KEOD-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.
KEOD-2014-Bergamaschi #big data #challenge #integration #state of the art: Big Data Integration — State of the Art & Challenges (SB), pp. 1–7.
KEOD-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.
KEOD-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.
KEOD-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.
KMIS-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.
KMIS-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.
KMIS-2014-FredjLC #algorithm #guidelines: Characterizing Generalization Algorithms — First Guidelines for Data Publishers (FBF, NL, ICW), pp. 360–366.
KMIS-2014-HeavinDA #big data #information management: Small Data to Big Data — The Information Systems (IS) Continuum (CH, MD, FA), pp. 289–297.
KMIS-2014-Kaczmarek #architecture #documentation #music: The Application of the IODA Document Architecture to Music Data (ALK), pp. 268–273.
KMIS-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.
KMIS-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.
KR-2014-HaririCD #bound: State-Boundedness in Data-Aware Dynamic Systems (BBH, DC, MM, AD).
MLDM-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.
MLDM-2014-AnandWA #information management #scalability: A Method of Crowd-Sourced Information Extraction From Large Data Files (IMA, AW, PA), pp. 431–436.
MLDM-2014-BaroutiKKM #clustering #data type #distributed #monitoring: Monitoring Distributed Data Streams through Node Clustering (MB, DK, JK, YM), pp. 149–162.
MLDM-2014-KuleshovB #data mining #learning #mining: Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.
MLDM-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.
MLDM-2014-SharmaT #mining #social #social media: A Generalized Relationship Mining Method for Social Media Text Data (TS, DT), pp. 376–392.
MLDM-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.
MLDM-2014-WaiyamaiKSR #classification #concept #data type #named: ACCD: Associative Classification over Concept-Drifting Data Streams (KW, TK, BS, TR), pp. 78–90.
MLDM-2014-WangLK #concurrent #data mining #mining: Applications of Concurrent Sequential Patterns in Protein Data Mining (CW, JL, MK), pp. 243–257.
RecSys-2014-CremonesiQ #question #recommendation: Cross-domain recommendations without overlapping data: myth or reality? (PC, MQ), pp. 297–300.
RecSys-2014-JannachF #data mining #mining #modelling #process #recommendation: Recommendation-based modeling support for data mining processes (DJ, SF), pp. 337–340.
RecSys-2014-KimC #collaboration #predict: Bayesian binomial mixture model for collaborative prediction with non-random missing data (YDK, SC), pp. 201–208.
SEKE-2014-AssoudiL #approach #multi #process: A Multi-Agent-Based Approach for Autonomic Data Exchange Processes (HA, HL), pp. 334–337.
SEKE-2014-BarnesL #analysis #clustering: Text-Based Clustering and Analysis of Intelligent Argumentation Data (ECB, XFL), pp. 422–425.
SEKE-2014-DaubalDDA #concept: Tracing Domain Data Concepts in Layered Applications (MD, ND, DBD, HUA), pp. 292–297.
SEKE-2014-DingSZ #development #protocol: Development of A Sliding Window Protocol for Data Synchronization in a Flow Cytometer (JD, YS, DZ), pp. 626–631.
SEKE-2014-El-KharboutlyGF #analysis #security: Industry-wise Analysis of Security Breaches in Data Loss Incidents (REK, SSG, LF), pp. 615–619.
SEKE-2014-JuniorCMS #data analysis #gpu #repository: Exploratory Data Analysis of Software Repositories via GPU Processing (JRDSJ, EC, LM, AS), pp. 495–500.
SEKE-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.
SEKE-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.
SEKE-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.
SIGIR-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.
SIGIR-2014-ThomasL #composition #data analysis #distance #information retrieval: Compositional data analysis (CoDA) approaches to distance in information retrieval (PT, DL), pp. 991–994.
SIGIR-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.
SIGIR-2014-WangSZZ: Active hashing with joint data example and tag selection (QW, LS, ZZ, NZ), pp. 405–414.
SIGIR-2014-WangWLC #perspective #re-engineering: Influential nodes selection: a data reconstruction perspective (ZW, HW, QL, EC), pp. 879–882.
SIGIR-2014-Williams #big data #how: The data revolution: how companies are transforming with big data (HEW), pp. 525–526.
SIGIR-2014-WuH #data fusion: Search result diversification via data fusion (SW, CH), pp. 827–830.
SIGIR-2014-Zhang #graph #rdf #scalability: Graph-based large scale RDF data compression (WEZ), p. 1276.
ECMFA-2014-LogreMCR #approach #variability #visualisation: Sensor Data Visualisation: A Composition-Based Approach to Support Domain Variability (IL, SM, PC, MR), pp. 101–116.
ICMT-2014-GonzalezC #analysis #constraints #generative #model transformation #testing: Test Data Generation for Model Transformations Combining Partition and Constraint Analysis (CAG, JC), pp. 25–41.
ICMT-2014-JilaniIK #approach #generative #model transformation #testing: A Search Based Test Data Generation Approach for Model Transformations (AAJ, MZI, MUK), pp. 17–24.
MoDELS-2014-BousseCB14a #scalability: Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MoDELS-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.
MoDELS-2014-BousseCB14a #scalability: Scalable Armies of Model Clones through Data Sharing (EB, BC, BB), pp. 286–301.
MoDELS-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.
ECOOP-2014-GramoliG #concurrent #data type #reuse: Reusable Concurrent Data Types (VG, RG), pp. 182–206.
ECOOP-2014-PintoDG #abstraction #logic #named: TaDA: A Logic for Time and Data Abstraction (PdRP, TDY, PG), pp. 207–231.
Onward-2014-TaeumelPSLH #data-driven #development: Interleaving of Modification and Use in Data-driven Tool Development (MT, MP, BS, JL, RH), pp. 185–200.
Onward-2014-WalkingshawKEAB #data type #trade-off #variability: Variational Data Structures: Exploring Tradeoffs in Computing with Variability (EW, CK, ME, SA, EB), pp. 213–226.
OOPSLA-2014-BarowyGB #debugging #named #spreadsheet: CheckCell: data debugging for spreadsheets (DWB, DG, EDB), pp. 507–523.
OOPSLA-2014-BellK #data flow #named: Phosphor: illuminating dynamic data flow in commodity jvms (JB, GEK), pp. 83–101.
OOPSLA-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.
OOPSLA-2014-JonnalageddaCSRO #combinator #parsing #performance #staged: Staged parser combinators for efficient data processing (MJ, TC, SS, TR, MO), pp. 637–653.
OOPSLA-2014-MitschkeEKMS #named: i3QL: language-integrated live data views (RM, SE, MK, MM, GS), pp. 417–432.
OOPSLA-2014-UrecheBO #data transformation #layout #representation: Late data layout: unifying data representation transformations (VU, EB, MO), pp. 397–416.
OOPSLA-2014-WangCC #abstraction #compilation #verification: Compiler verification meets cross-language linking via data abstraction (PW, SC, AC), pp. 675–690.
OOPSLA-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.
PLATEAU-2014-SadowskiY #concurrent #detection #developer #how #tool support: How Developers Use Data Race Detection Tools (CS, JY), pp. 43–51.
GPCE-2014-SmeltzerEM #approach #visualisation: A transformational approach to data visualization (KS, ME, RAM), pp. 53–62.
POPL-2014-BurckhardtGYZ #data type #specification #verification: Replicated data types: specification, verification, optimality (SB, AG, HY, MZ), pp. 271–284.
POPL-2014-MillerHKS #authentication #data type: Authenticated data structures, generically (AM, MH, JK, ES), pp. 411–424.
SAC-2014-AnderssonDA #artificial reality #identification #using: Anthropometric and human gait identification using skeleton data from Kinect sensor (VOA, RD, RMdA), pp. 60–61.
SAC-2014-ArapovBO #named #web #wiki: WikiNEXT: a wiki for exploiting the web of data (PA, MB, ABO), pp. 727–734.
SAC-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.
SAC-2014-BarbosaBAC #lightweight #privacy: Lightweight privacy for smart metering data by adding noise (PB, AB, HA, SC), pp. 531–538.
SAC-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.
SAC-2014-GomesE #adaptation #classification #data type #named #social: SAE2: advances on the social adaptive ensemble classifier for data streams (HMG, FE), pp. 798–804.
SAC-2014-HamerW #scalability: Large scale processing of landsat data on various software platforms (GH, JW), pp. 1547–1549.
SAC-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.
SAC-2014-IencoBPP #category theory #data type #detection #evolution: Change detection in categorical evolving data streams (DI, AB, BP, PP), pp. 792–797.
SAC-2014-LabdaMS #modelling #privacy #process: Modeling of privacy-aware business processes in BPMN to protect personal data (WL, NM, PS), pp. 1399–1405.
SAC-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.
SAC-2014-LiMZ #using #visualisation: Visualization of oceanographic applications using a common data model (JL, ZPM, KZ), pp. 933–938.
SAC-2014-LiWL #learning #mobile #online #recognition: Online learning with mobile sensor data for user recognition (HGL, XW, ZL), pp. 64–70.
SAC-2014-Moin #approach #collaboration #visualisation: A unified approach to collaborative data visualization (AM), pp. 280–286.
SAC-2014-OmatuY #classification #smell #using: Smell classification using weakly responding data (SO, MY), pp. 213–214.
SAC-2014-SwamyIG #2d #image: Two level reversible data hiding in 2D images (NRS, SI, PG), pp. 58–59.
SAC-2014-TinK #clustering #distributed #performance: Method for fast clustering of data distributed on a sphere surface (TT, SRK), pp. 1735–1736.
FSE-2014-SunZLZWZK #query #re-engineering: Querying sequential software engineering data (CS, HZ, JGL, HZ, QW, DZ, SCK), pp. 700–710.
FSE-2014-ZhouM #mining: Mining micro-practices from operational data (MZ, AM), pp. 845–848.
FSE-2014-Zimmermann: Data hard with a vengeance (invited talk) (TZ), p. 6.
ICSE-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.
ICSE-2014-BegelZ #exclamation #re-engineering: Analyze this! 145 questions for data scientists in software engineering (AB, TZ), pp. 12–13.
ICSE-2014-BocicB #induction #invariant #verification #web: Inductive verification of data model invariants for web applications (IB, TB), pp. 620–631.
ICSE-2014-GopinathKSC #data-driven: Data-guided repair of selection statements (DG, SK, DS, SC), pp. 243–253.
ICSE-2014-MinkuY #estimation #how #question: How to make best use of cross-company data in software effort estimation? (LLM, XY), pp. 446–456.
ICSE-2014-NguyenNNN #interprocedural #javascript #mining #web: Mining interprocedural, data-oriented usage patterns in JavaScript web applications (HVN, HAN, ATN, TNN), pp. 791–802.
ICSE-2014-YuSR #automation #framework #named #testing: SimRT: an automated framework to support regression testing for data races (TY, WSa, GR), pp. 48–59.
SLE-2014-HarkesV #modelling #navigation: Unifying and Generalizing Relations in Role-Based Data Modeling and Navigation (DH, EV), pp. 241–260.
SLE-2014-HartelHL #generative #testing #xtext: Test-Data Generation for Xtext — Tool Paper (JH, LH, RL), pp. 342–351.
SPLC-2014-Bosch #named #towards: ESAO: towards data- and ecosystem-driven R&D (JB), p. 363.
ASPLOS-2014-AgrawalPPTTL #hardware #named #parallel: Rhythm: harnessing data parallel hardware for server workloads (SRA, VP, JP, JT, DT, ARL), pp. 19–34.
ASPLOS-2014-BornholtMM #first-order #named #nondeterminism: Uncertain: a first-order type for uncertain data (JB, TM, KSM), pp. 51–66.
ASPLOS-2014-MytkowiczMS #finite #state machine: Data-parallel finite-state machines (TM, MM, WS), pp. 529–542.
ASPLOS-2014-SamadiJLM #approximate #named #parallel: Paraprox: pattern-based approximation for data parallel applications (MS, DAJ, JL, SAM), pp. 35–50.
ASPLOS-2014-WoodCG #detection #low level: Low-level detection of language-level data races with LARD (BPW, LC, DG), pp. 671–686.
HPCA-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.
HPCA-2014-KurianDK #replication: Locality-aware data replication in the Last-Level Cache (GK, SD, OK), pp. 1–12.
HPCA-2014-PeraisS: Practical data value speculation for future high-end processors (AP, AS), pp. 428–439.
HPCA-2014-QiMAT #detection: Dynamically detecting and tolerating IF-Condition Data Races (SQ, AM, WA, JT), pp. 120–131.
HPCA-2014-TsengT #named #thread: CDTT: Compiler-generated data-triggered threads (HWT, DMT), pp. 650–661.
HPCA-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.
HPCA-2014-ZhengMW #energy: Exploiting thermal energy storage to reduce data center capital and operating expenses (WZ, KM, XW), pp. 132–141.
HPDC-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.
HPDC-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.
ISMM-2014-LiDL #liveness #modelling #using: Modeling heap data growth using average liveness (PL, CD, HL), pp. 71–82.
LCTES-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.
LCTES-2014-Guo #co-evolution #data access #design #energy #performance: Energy efficient data access and storage through HW/SW co-design (MG), p. 83.
LCTES-2014-Whalley #data access #energy #performance: Energy efficient data access techniques (DBW), p. 1.
OSDI-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.
OSDI-2014-BangertZ #generative #named #parsing: Nail: A Practical Tool for Parsing and Generating Data Formats (JB, NZ), pp. 615–628.
OSDI-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.
OSDI-2014-VenkataramanPAFS #clustering #power of #scheduling: The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
OSDI-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.
PPoPP-2014-0003VTCT #data type #scheduling: Data structures for task-based priority scheduling (MW, FV, JLT, DC, PT), pp. 379–380.
PPoPP-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.
PPoPP-2014-Bautista-GomezC #detection #monitoring: Detecting silent data corruption through data dynamic monitoring for scientific applications (LABG, FC), pp. 381–382.
PPoPP-2014-TimnatP #data type #simulation: A practical wait-free simulation for lock-free data structures (ST, EP), pp. 357–368.
CAV-2014-LesaniMP #automation #concurrent #data type #verification: Automatic Atomicity Verification for Clients of Concurrent Data Structures (ML, TDM, JP), pp. 550–567.
CAV-2014-PiskacWZ #automation #logic: Automating Separation Logic with Trees and Data (RP, TW, DZ), pp. 711–728.
ICLP-J-2014-TachmazidisAF #big data #performance #semantics: Efficient Computation of the Well-Founded Semantics over Big Data (IT, GA, WF), pp. 445–459.
ICST-2014-AraujoC #data flow #in the large #testing: Data-Flow Testing in the Large (RPAdA, MLC), pp. 81–90.
ICST-2014-DenaroPV #data flow #on the #testing: On the Right Objectives of Data Flow Testing (GD, MP, MV), pp. 71–80.
ICST-2014-Marin #approach #automation #database #multi #testing: A Data-Agnostic Approach to Automatic Testing of Multi-dimensional Databases (MM), pp. 133–142.
ISSTA-2014-LoyolaSKR #automation #named #set: Dodona: automated oracle data set selection (PL, MS, IYK, GR), pp. 193–203.
ISSTA-2014-MarianiPRS #named #testing #web: Link: exploiting the web of data to generate test inputs (LM, MP, OR, MS), pp. 373–384.
ISSTA-2014-ShachamYGABSV #independence #verification: Verifying atomicity via data independence (OS, EY, GGG, AA, NGB, MS, MTV), pp. 26–36.
TAP-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.
CBSE-2013-BurtonS #correctness #data type #mixin #using: Correctness of intrusive data structures using mixins (EB, ES), pp. 53–58.
CBSE-2013-KarveS #component #mining #online #towards: Towards mining informal online data to guide component-reuse decisions (SK, CS), pp. 65–74.
ECSA-2013-CuestaMF #architecture #realtime #semantics #towards: Towards an Architecture for Managing Big Semantic Data in Real-Time (CEC, MAMP, JDF), pp. 45–53.
ECSA-2013-VenB #architecture #design: Making the Right Decision: Supporting Architects with Design Decision Data (JSvdV, JB), pp. 176–183.
ASE-2013-Ganai #incremental #performance #predict #reasoning: Efficient data race prediction with incremental reasoning on time-stamped lock history (MKG), pp. 37–47.
ASE-2013-LiRSDC #data flow #generative #named #source code: SEDGE: Symbolic example data generation for dataflow programs (KL, CR, YS, YD, CC), pp. 235–245.
ASE-2013-NardoABFNM #modelling #validation: Model based test validation and oracles for data acquisition systems (DDN, NA, LCB, EF, TNA, VM), pp. 540–550.
ASE-2013-OsterlundL #data type: Dynamically transforming data structures (EÖ, WL), pp. 410–420.
ASE-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.
ASE-2013-ZhangCW #concurrent #data type #named #runtime: Round-up: Runtime checking quasi linearizability of concurrent data structures (LZ, AC, CW), pp. 4–14.
CASE-2013-DanishvarMSA #clustering #modelling #realtime: Event-clustering for real-time data modeling (MD, AM, PAMdS, RA), pp. 362–367.
CASE-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.
CASE-2013-LiuZZ #approach #data-driven #modelling: Data driven modeling of human welder intelligence: A neuro-fuzzy approach (YL, WZ, YZ), pp. 663–668.
CASE-2013-QiaoMG #algorithm #data-driven #scheduling: Attribute selection algorithm of data-based scheduling strategy for semiconductor manufacturing (FQ, YM, XG), pp. 410–415.
DAC-2013-BenazouzKHB #data flow #evaluation #graph #liveness: Liveness evaluation of a cyclo-static DataFlow graph (MB, AMK, TH, BB), p. 7.
DAC-2013-ChandrikakuttyUTW #hardware #monitoring #network: High-performance hardware monitors to protect network processors from data plane attacks (HC, DU, RT, TW), p. 6.
DAC-2013-LuBS #data transformation #multi #named #stack: SSDM: smart stack data management for software managed multicores (SMMs) (JL, KB, AS), p. 8.
DAC-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.
DAC-2013-ZhanR #energy: Techniques for energy-efficient power budgeting in data centers (XZ, SR), p. 7.
DATE-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.
DATE-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.
DATE-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.
DATE-2013-KahngKP #power management #reduction: Active-mode leakage reduction with data-retained power gating (ABK, SK, BP), pp. 1209–1214.
DATE-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.
DATE-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.
DATE-2013-MalburgFF #analysis #comprehension #data flow #design: Tuning dynamic data flow analysis to support design understanding (JM, AF, GF), pp. 1179–1184.
DATE-2013-TuHC: Co-synthesis of data paths and clock control paths for minimum-period clock gating (WPT, SHH, CHC), pp. 1831–1836.
DATE-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.
DATE-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.
DRR-2013-ChristiansenB: Data acquisition from cemetery headstones (CSC, WAB).
HT-2013-LopezKSL #integration: Guided exploration and integration of urban data (VL, SK, MLS, RL), pp. 242–247.
HT-2013-Luczak-RoschT #on the #web: On the topology of the web of data (MLR, RT), pp. 253–257.
HT-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.
HT-2013-StolzH #linked data #open data #rdf: From RDF to RSS and atom: content syndication with linked data (AS, MH), pp. 236–241.
HT-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.
ICDAR-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.
ICDAR-2013-ChenPCN #detection: Detecting OOV Names in Arabic Handwritten Data (JC, RP, HC, PN), pp. 994–998.
ICDAR-2013-HassaineAB #contest: ICDAR 2013 Competition on Handwriting Stroke Recovery from Offline Data (AH, SAM, AB), pp. 1412–1416.
ICDAR-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.
PODS-2013-AbiteboulV #collaboration #data-driven #workflow: Collaborative data-driven workflows: think global, act local (SA, VV), pp. 91–102.
PODS-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.
PODS-2013-CalvaneseGM #analysis #database #perspective #process: Foundations of data-aware process analysis: a database theory perspective (DC, GDG, MM), pp. 1–12.
PODS-2013-Figueira #on the #testing #transitive #xpath: On XPath with transitive axes and data tests (DF), pp. 249–260.
PODS-2013-HaririCGDM #relational #verification: Verification of relational data-centric dynamic systems with external services (BBH, DC, GDG, AD, MM), pp. 163–174.
PODS-2013-LibkinRV #adaptation #graph #query #rdf: Trial for RDF: adapting graph query languages for RDF data (LL, JLR, DV), pp. 201–212.
PODS-2013-RudolphK #data access #query: Flag & check: data access with monadically defined queries (SR, MK), pp. 151–162.
SIGMOD-2013-AboulnagaB #big data #data analysis: Workload management for big data analytics (AA, SB), pp. 929–932.
SIGMOD-2013-AchtertKSZ #3d #coordination #data mining #interactive #mining: Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.
SIGMOD-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.
SIGMOD-2013-ArenasDNUBV #xml: Discovering XSD keys from XML data (MA, JD, FN, MU, JVdB, SV), pp. 61–72.
SIGMOD-2013-ArocenaGM: Value invention in data exchange (PCA, BG, RJM), pp. 157–168.
SIGMOD-2013-BailisVFHS #consistency #data transformation #metric: PBS at work: advancing data management with consistency metrics (PB, SV, MJF, JMH, IS), pp. 1113–1116.
SIGMOD-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.
SIGMOD-2013-BykauRV #evolution #query: A query answering system for data with evolution relationships (SB, FR, YV), pp. 989–992.
SIGMOD-2013-ChenCC #performance #query: An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.
SIGMOD-2013-ChristensenL #adaptation: Adaptive log compression for massive log data (RC, FL), pp. 1283–1284.
SIGMOD-2013-CondieMPW #big data #machine learning: Machine learning for big data (TC, PM, NP, MW), pp. 939–942.
SIGMOD-2013-DallachiesaEEEIOT #named: NADEEF: a commodity data cleaning system (MD, AE, AE, AKE, IFI, MO, NT), pp. 541–552.
SIGMOD-2013-EwenSTWM #parallel: Iterative parallel data processing with stratosphere: an inside look (SE, SS, KT, DW, VM), pp. 1053–1056.
SIGMOD-2013-FinisBK0FM #named #performance #version control: DeltaNI: an efficient labeling scheme for versioned hierarchical data (JF, RB, AK, TN, FF, NM), pp. 905–916.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2013-GolabJ #data type: Data stream warehousing (LG, TJ), pp. 949–952.
SIGMOD-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.
SIGMOD-2013-Horikawa #data type #design #evaluation #implementation: Latch-free data structures for DBMS: design, implementation, and evaluation (TH), pp. 409–420.
SIGMOD-2013-HuangB0 #data analysis #in the cloud #named #optimisation #statistics: Cumulon: optimizing statistical data analysis in the cloud (BH, SB, JY), pp. 1–12.
SIGMOD-2013-HuangZ #natural language #rdf: Natural language question answering over RDF data (RH, LZ), pp. 1289–1290.
SIGMOD-2013-HullSV #bibliography #data transformation #perspective #process #tutorial: Data management perspectives on business process management: tutorial overview (RH, JS, RV), pp. 943–948.
SIGMOD-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.
SIGMOD-2013-KonstantinouTMK #distributed #named: DBalancer: distributed load balancing for NoSQL data-stores (IK, DT, IM, NK), pp. 1037–1040.
SIGMOD-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.
SIGMOD-2013-LiP #in memory #memory management #named #performance: BitWeaving: fast scans for main memory data processing (YL, JMP), pp. 289–300.
SIGMOD-2013-LuoT0N: Finding time period-based most frequent path in big trajectory data (WL, HT, LC, LMN), pp. 713–724.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2013-NazarukR #big data: Big data in capital markets (AN, MR), pp. 917–918.
SIGMOD-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.
SIGMOD-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.
SIGMOD-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.
SIGMOD-2013-PhamSL #named #social: EBM: an entropy-based model to infer social strength from spatiotemporal data (HP, CS, YL), pp. 265–276.
SIGMOD-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.
SIGMOD-2013-SimitsisW0 #data flow #framework #named: xPAD: a platform for analytic data flows (AS, KW, PJ), pp. 1109–1112.
SIGMOD-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.
SIGMOD-2013-StougiannisPTHA #data transformation #data-driven: Data-driven neuroscience: enabling breakthroughs via innovative data management (AS, MP, FT, TH, AA), pp. 953–956.
SIGMOD-2013-SuchanekW #big data: Knowledge harvesting in the big-data era (FMS, GW), pp. 933–938.
SIGMOD-2013-SumbalyKS #big data #ecosystem: The big data ecosystem at LinkedIn (RS, JK, SS), pp. 1125–1134.
SIGMOD-2013-SuZWHZ #analysis #similarity: Calibrating trajectory data for similarity-based analysis (HS, KZ, HW, JH, XZ), pp. 833–844.
SIGMOD-2013-TruongBDS #named #xml: MESSIAH: missing element-conscious SLCA nodes search in XML data (BQT, SSB, CED, AS), pp. 37–48.
SIGMOD-2013-UpadhyayaABHKRS #power of: The power of data use management in action (PU, NRA, MB, BH, RK, RR, DS), pp. 1117–1120.
SIGMOD-2013-WangLYC #case study #data type: Quantiles over data streams: an experimental study (LW, GL, KY, GC), pp. 737–748.
SIGMOD-2013-WoodsTA #performance: Less watts, more performance: an intelligent storage engine for data appliances (LW, JT, GA), pp. 1073–1076.
SIGMOD-2013-ZhangGBFRP #named #statistics #using: GeoDeepDive: statistical inference using familiar data-processing languages (CZ, VG, JB, TF, CR, SP), pp. 993–996.
SIGMOD-2013-ZhangKM #array #named: SciQL: array data processing inside an RDBMS (YZ, MLK, SM), pp. 1049–1052.
SIGMOD-2013-ZhengJPL #kernel #performance #quality #scalability: Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.
VLDB-2013-0007DSF #named: Mosquito: Another One Bites the Data Upload STream (SR, JD, SS, TF), pp. 1274–1277.
VLDB-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.
VLDB-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.
VLDB-2013-AdelfioS #grammar recovery #web: Schema Extraction for Tabular Data on the Web (MDA, HS), pp. 421–432.
VLDB-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.
VLDB-2013-AlexiouKL #adaptation: Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia (KA, DK, PÅL), pp. 1714–1725.
VLDB-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.
VLDB-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.
VLDB-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.
VLDB-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.
VLDB-2013-BotheKV #named #query: eSkyline: Processing Skyline Queries over Encrypted Data (SB, PK, AV), pp. 1338–1341.
VLDB-2013-BouquetM #ecosystem: A global Entity Name System (ENS) for data ecosystems (PB, AM), pp. 1182–1183.
VLDB-2013-ChandramouliGQ #big data #in the cloud #scalability: Scalable Progressive Analytics on Big Data in the Cloud (BC, JG, AQ), pp. 1726–1737.
VLDB-2013-ChirkovaY #question #what: Big and Useful: What’s in the Data for Me? (RC, JY), pp. 1390–1391.
VLDB-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.
VLDB-2013-DeutchMT #analysis #named #process: PROPOLIS: Provisioned Analysis of Data-Centric Processes (DD, YM, VT), pp. 1302–1305.
VLDB-2013-Dey #scalability #transaction: Scalable Transactions across Heterogeneous NoSQL Key-Value Data Stores (AD), pp. 1434–1439.
VLDB-2013-DongS #big data #integration: Big Data Integration (XLD, DS), pp. 1188–1189.
VLDB-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.
VLDB-2013-EbaidEIOQ0Y #named: NADEEF: A Generalized Data Cleaning System (AE, AKE, IFI, MO, JAQR, NT, SY), pp. 1218–1221.
VLDB-2013-EftekharK #clustering #data flow #ranking: Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.
VLDB-2013-EldawyM #framework #performance #pipes and filters: A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data (AE, MFM), pp. 1230–1233.
VLDB-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.
VLDB-2013-FanGN #big data #preprocessor #query: Making Queries Tractable on Big Data with Preprocessing (WF, FG, FN), pp. 685–696.
VLDB-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.
VLDB-2013-FuhryZSNP #named: PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data (DF, YZ, VS, AN, SP), pp. 1318–1321.
VLDB-2013-FuKR #on the #scalability: On Scaling Up Sensitive Data Auditing (YF, RK, RR), pp. 313–324.
VLDB-2013-GeertsMPS #framework: The LLUNATIC Data-Cleaning Framework (FG, GM, PP, DS), pp. 625–636.
VLDB-2013-GrustSU #sql: Functions Are Data Too (Defunctionalization for PL/SQL) (TG, NS, AU), pp. 1214–1217.
VLDB-2013-GuptaRM #data flow #distributed #query: Ratio Threshold Queries over Distributed Data Sources (RG, KR, MKM), pp. 565–576.
VLDB-2013-HassanzadehKKKOP #data analysis #generative: Next Generation Data Analytics at IBM Research (OH, AK, BK, RK, FÖ, IP), pp. 1174–1175.
VLDB-2013-HassanzadehPYMPHH #web: Discovering Linkage Points over Web Data (OH, KQP, SHY, RJM, LP, MAH, HH), pp. 444–456.
VLDB-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.
VLDB-2013-KaraezIZMK #lazy evaluation: Lazy ETL in Action: ETL Technology Dates Scientific Data (YK, MI, YZ, SM, MLK), pp. 1286–1289.
VLDB-2013-Kaufmann #in memory #memory management: Storing and Processing Temporal Data in a Main Memory Column Store (MK), pp. 1444–1449.
VLDB-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.
VLDB-2013-KornSSY #on the #problem: On Repairing Structural Problems In Semi-structured Data (FK, BS, DS, SY), pp. 601–612.
VLDB-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.
VLDB-2013-MokbelS #data transformation #network #perspective #social: Mobility and Social Networking: A Data Management Perspective (MFM, MS), pp. 1196–1197.
VLDB-2013-Ngo: Getting Unique Solution in Data Exchange (NN), pp. 1440–1443.
VLDB-2013-OkcanRPF #analysis #named: Scolopax: Exploratory Analysis of Scientific Data (AO, MR, BP, DF), pp. 1298–1301.
VLDB-2013-ParkW #crowdsourcing #optimisation #query: Query Optimization over Crowdsourced Data (HP, JW), pp. 781–792.
VLDB-2013-PsaroudakisAA #concurrent #query: Sharing Data and Work Across Concurrent Analytical Queries (IP, MA, AA), pp. 637–648.
VLDB-2013-RamazzinaBS #framework: A New Service for Customer Care Based on the TrentoRise BigData Platform (SR, CLB, DS), pp. 1162–1163.
VLDB-2013-RekatsinasDM #clustering #multi: A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries (TR, AD, AM), pp. 1594–1605.
VLDB-2013-Rendle #relational #scalability: Scaling Factorization Machines to Relational Data (SR), pp. 337–348.
VLDB-2013-SatheO0A #framework #named #query: EnviroMeter: A Platform for Querying Community-Sensed Data (SS, AO, DC, KA), pp. 1294–1297.
VLDB-2013-SathiamoorthyAPDVCB #big data #novel: XORing Elephants: Novel Erasure Codes for Big Data (MS, MA, DSP, AGD, RV, SC, DB), pp. 325–336.
VLDB-2013-Sellam #performance: Fast Cartography for Data Explorers (TS), pp. 1456–1461.
VLDB-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.
VLDB-2013-Thonangi0 #permutation: Permuting Data on Random-Access Block Storage (RT, JY), pp. 721–732.
VLDB-2013-TranBD #big data #design #problem #query: Designing Query Optimizers for Big Data Problems of The Future (NT, SB, JD), pp. 1168–1169.
VLDB-2013-TranDSL #nondeterminism: Supporting User-Defined Functions on Uncertain Data (TTLT, YD, CAS, AL), pp. 469–480.
VLDB-2013-TuKMZ #query: Processing Analytical Queries over Encrypted Data (ST, MFK, SM, NZ), pp. 289–300.
VLDB-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.
VLDB-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.
VLDB-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.
VLDB-2013-YuanL0 #gpu #query: The Yin and Yang of Processing Data Warehousing Queries on GPU Devices (YY, RL, XZ), pp. 817–828.
VLDB-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.
VLDB-2013-ZengYWSW #distributed #graph #rdf #web: A Distributed Graph Engine for Web Scale RDF Data (KZ, JY, HW, BS, ZW), pp. 265–276.
VLDB-2013-ZhangWYMC #integration #lightweight #peer-to-peer #privacy: Lightweight Privacy-Preserving Peer-to-Peer Data Integration (YZ, WKW, SMY, NM, DWC), pp. 157–168.
VLDB-2014-KaranasosKM13 #capacity #constraints #named #scalability: Delta: Scalable Data Dissemination under Capacity Constraints (KK, AK, IM), pp. 217–228.
VLDB-2014-SalloumDST13 #data flow #online: Online Ordering of Overlapping Data Sources (MS, XLD, DS, VJT), pp. 133–144.
ITiCSE-2013-BryfczynskiPCKD #data type #education: Teaching data structures with beSocratic (SB, RPP, MC, MK, BCD), pp. 105–110.
ITiCSE-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.
ESOP-2013-SharmaGHALN #algebra #approach #data-driven #invariant: A Data Driven Approach for Algebraic Loop Invariants (RS, SG, BH, AA, PL, AVN), pp. 574–592.
ESOP-2013-SvendsenBP #composition #concurrent #data type #reasoning: Modular Reasoning about Separation of Concurrent Data Structures (KS, LB, MJP), pp. 169–188.
TACAS-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.
TACAS-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.
CSMR-2013-Nagy #data-driven #static analysis: Static Analysis of Data-Intensive Applications (CN), pp. 435–438.
ICSM-2013-StrouliaMRB #collaboration #interactive: Interactive Exploration of Collaborative Software-Development Data (ES, IM, FR, KB), pp. 504–507.
MSR-2013-MukadamBR #android #bibliography #code review: Gerrit software code review data from Android (MM, CB, PCR), pp. 45–48.
MSR-2013-RobbesR #developer #interactive #metric #using: Using developer interaction data to compare expertise metrics (RR, DR), pp. 297–300.
PASTE-2013-VitasekBH #java #named: ShadowData: shadowing heap objects in Java (MV, WB, MH), pp. 17–24.
WCRE-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.
WCRE-2013-HallerSB #c #c++ #data type #detection #named: MemPick: High-level data structure detection in C/C++ binaries (IH, AS, HB), pp. 32–41.
WCRE-2013-HallerSB13a #data type #detection #named: MemPick: A tool for data structure detection (IH, AS, HB), pp. 479–480.
PLDI-2013-ElwazeerAKSB #data type #detection #scalability: Scalable variable and data type detection in a binary rewriter (KE, KA, AK, MS, RB), pp. 51–60.
PLDI-2013-GordonEG #alias #refinement: Rely-guarantee references for refinement types over aliased mutable data (CSG, MDE, DG), pp. 73–84.
PLDI-2013-Qiu0SM #proving: Natural proofs for structure, data, and separation (XQ, PG, AS, PM), pp. 231–242.
PLDI-2013-YuKL #data type #multi #thread: General data structure expansion for multi-threading (HY, HJK, ZL), pp. 243–252.
SAS-2013-0001MP #abstract domain #automaton #quantifier: Quantified Data Automata on Skinny Trees: An Abstract Domain for Lists (PG, PM, GP), pp. 172–193.
SAS-2013-DragoiES #analysis #data type: Local Shape Analysis for Overlaid Data Structures (CD, CE, MS), pp. 150–171.
STOC-2013-BitanskyCCT #composition #recursion: Recursive composition and bootstrapping for SNARKS and proof-carrying data (NB, RC, AC, ET), pp. 111–120.
DLT-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.
ICALP-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.
IFM-2013-OlderogS #realtime: Structural Transformations for Data-Enriched Real-Time Systems (ERO, MS), pp. 378–393.
IFL-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.
CHI-2013-BirnbaumBFDK #behaviour #identification #using: Using behavioral data to identify interviewer fabrication in surveys (BEB, GB, ADF, BD, ARK), pp. 2911–2920.
CHI-2013-CurmiFSW13a #named #network #social: HeartLink: open broadcast of live biometric data to social networks (FC, MAF, JS, JW), pp. 1749–1758.
CHI-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.
CHI-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.
CHI-2013-GulottaOFF #legacy: Digital artifacts as legacy: exploring the lifespan and value of digital data (RG, WO, JF, HF), pp. 1813–1822.
CHI-2013-HarpsteadMA #data analysis #education #game studies #learning: In search of learning: facilitating data analysis in educational games (EH, BAM, VA), pp. 79–88.
CHI-2013-JacobsBSGPG #what: A conversation between trees: what data feels like in the forest (RJ, SB, MS, MG, DP, GG), pp. 129–138.
CHI-2013-KatoSI #named #representation #source code: Picode: inline photos representing posture data in source code (JK, DS, TI), pp. 3097–3100.
CHI-2013-KleekSPSS #information management #integration: Carpé data: supporting serendipitous data integration in personal information management (MVK, DAS, HSP, JS, NRS), pp. 2339–2348.
CHI-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.
CHI-2013-OgataSOI #communication #named: FlashTouch: data communication through touchscreens (MO, YS, HO, MI), pp. 2321–2324.
CHI-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.
CHI-2013-SenJHBC: When the price is right: enabling time-dependent pricing of broadband data (SS, CJW, SH, JB, MC), pp. 2477–2486.
CSCW-2013-BrushJMM: Digital neighborhood watch: investigating the sharing of camera data amongst neighbors (AJBB, JJ, RM, FM), pp. 693–700.
CSCW-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.
CSCW-2013-MinWHZ #mining #smarttech #social: Mining smartphone data to classify life-facets of social relationships (JKM, JW, JIH, JZ), pp. 285–294.
CSCW-2013-RollandL #collaboration #reliability #research #reuse #trust: Beyond trust and reliability: reusing data in collaborative cancer epidemiology research (BR, CPL), pp. 435–444.
DUXU-NTE-2013-InoueHNNN #interactive #mobile: Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors (SI, KH, MN, YN, NN), pp. 280–289.
DUXU-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.
DUXU-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.
DUXU-WM-2013-Gould #network: Dot, Line, Network: Helping Individuals Make Sense of “New Data” (EWG), pp. 496–505.
DUXU-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.
DUXU-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.
HCI-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.
HCI-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.
HCI-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.
HCI-UC-2013-ParkG #case study #data-driven: An Exploratory Study to Understand Knowledge-Sharing in Data-Intensive Science (JP, JLG), pp. 217–226.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-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.
HIMI-HSM-2013-LeeJ #analysis #simulation #using: Task Analysis of Soft Control Operations Using Simulation Data in Nuclear Power Plants (SJL, WJ), pp. 524–529.
HIMI-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.
HIMI-HSM-2013-SaitohI #detection #learning #using #visualisation: Visualization of Anomaly Data Using Peculiarity Detection on Learning Vector Quantization (FS, SI), pp. 181–188.
CAiSE-2013-BarhamgiBOCCMT #execution #privacy: Secure and Privacy-Preserving Execution Model for Data Services (MB, DB, SO, NCB, FC, MM, HT), pp. 35–50.
CAiSE-2013-ChatzikonstantinouKA #data analysis #framework: A Goal Driven Framework for Software Project Data Analytics (GC, KK, IMA), pp. 546–561.
CAiSE-2013-MaurinoVV #case study: Coopetitive Data Warehouse: A Case Study (AM, CV, GV), pp. 482–497.
CAiSE-2013-RiemerSS #design #performance: A Methodology for Designing Events and Patterns in Fast Data Processing (DR, NS, LS), pp. 133–148.
CAiSE-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.
EDOC-2013-0001W #modelling #process: Extracting Data Objects and Their States from Process Models (AM, MW), pp. 27–36.
EDOC-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-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.
ICEIS-v1-2013-BudiM #communication #mobile #scheduling: Scheduling Data Communication based Services on the Personal Mobile Devices (SB, VM), pp. 401–408.
ICEIS-v1-2013-CazzolatoRYS #algorithm #classification #data type #statistics: A Statistical Decision Tree Algorithm for Data Stream Classification (MTC, MXR, CAY, MTPS), pp. 217–223.
ICEIS-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.
ICEIS-v1-2013-GrabisK #integration #on-demand: On-demand Data Integration for Decision-making Applications (JG, JK), pp. 201–208.
ICEIS-v1-2013-HayashiK #optimisation #performance: Data Location Optimization Method to Improve Tiered Storage Performance (SH, NK), pp. 112–119.
ICEIS-v1-2013-KozminaNG #concept #requirements: Deriving the Conceptual Model of a Data Warehouse from Information Requirements (NK, LN, MG), pp. 136–144.
ICEIS-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.
ICEIS-v1-2013-Pankowski #knowledge base #relational #web: Data Exchange between Relational Knowledge Bases in the Web of Data (TP), pp. 304–309.
ICEIS-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.
ICEIS-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.
ICEIS-v1-2013-ShamsuzzohaAH #adaptation #enterprise #process: Adaptive Virtual Enterprise Process Management — Perspective of Cloud-based Data Storage (AS, SA, PH), pp. 88–94.
ICEIS-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.
ICEIS-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.
ICEIS-v2-2013-DobsonSO #case study #ontology: Data, Ontologies and Decision Making — An Inter-disciplinary Case Study (SD, AS, TO), pp. 563–568.
ICEIS-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.
ICEIS-v2-2013-OBrienSH #framework #quality: The Value of Good Data — A Quality Perspective — A Framework for Discussion (TO, AS, MH), pp. 555–562.
ICEIS-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.
ICEIS-v2-2013-Vagale: ePortfolio Data Utilization in LMS Learner Model (VV), pp. 489–496.
ICEIS-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.
ICEIS-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.
CIKM-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.
CIKM-2013-ChengCLWAC #data type #learning #multi: Feedback-driven multiclass active learning for data streams (YC, ZC, LL, JW, AA, ANC), pp. 1311–1320.
CIKM-2013-ChristenV #flexibility #generative: Flexible and extensible generation and corruption of personal data (PC, DV), pp. 1165–1168.
CIKM-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.
CIKM-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.
CIKM-2013-Giles #big data #data mining #information management #mining: Scholarly big data: information extraction and data mining (CLG), pp. 1–2.
CIKM-2013-Halevy #web: Structured data in web search (AYH), pp. 7–8.
CIKM-2013-KharitonovMSO #using: Using historical click data to increase interleaving sensitivity (EK, CM, PS, IO), pp. 679–688.
CIKM-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.
CIKM-2013-ParameswaranKA #performance: Efficient parsing-based search over structured data (AGP, RK, AA), pp. 49–58.
CIKM-2013-RothK #modelling #quality: Feature-based models for improving the quality of noisy training data for relation extraction (BR, DK), pp. 1181–1184.
CIKM-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.
CIKM-2013-XieSYPZ #correlation #detection #streaming: Local correlation detection with linearity enhancement in streaming data (QX, SS, BY, CP, XZ), pp. 309–318.
CIKM-2013-YahyaBEW #linked data #open data #robust #web: Robust question answering over the web of linked data (MY, KB, SE, GW), pp. 1107–1116.
CIKM-2013-ZhiltsovA #linked data #modelling #open data #semantics: Improving entity search over linked data by modeling latent semantics (NZ, EA), pp. 1253–1256.
ECIR-2013-BronBR #web: Example Based Entity Search in the Web of Data (MB, KB, MdR), pp. 392–403.
ECIR-2013-GaoDGG #modelling #relational: Latent Factor BlockModel for Modelling Relational Data (SG, LD, PG, JG), pp. 447–458.
ECIR-2013-GligorovHOAS #evaluation #retrieval #video: An Evaluation of Labelling-Game Data for Video Retrieval (RG, MH, JvO, LA, GS), pp. 50–61.
ECIR-2013-LiangRT #data fusion #microblog: Late Data Fusion for Microblog Search (SL, MdR, MT), pp. 743–746.
ECIR-2013-MeloH #web: Searching the Web of Data (GdM, KH), pp. 869–873.
ECIR-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.
ICML-c1-2013-ChenC13a: Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery (YC, CC), pp. 383–391.
ICML-c1-2013-HanL13a #analysis #component: Principal Component Analysis on non-Gaussian Dependent Data (FH, HL), pp. 240–248.
ICML-c1-2013-OstingBO #ranking #statistics: Enhanced statistical rankings via targeted data collection (BO, CB, SO), pp. 489–497.
ICML-c1-2013-Shin #design #future of #kernel: A New Frontier of Kernel Design for Structured Data (KS), pp. 401–409.
ICML-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.
ICML-c3-2013-BalcanBM #learning #ontology: Exploiting Ontology Structures and Unlabeled Data for Learning (NB, AB, YM), pp. 1112–1120.
ICML-c3-2013-DingRIS #random #topic: Topic Discovery through Data Dependent and Random Projections (WD, MHR, PI, VS), pp. 1202–1210.
ICML-c3-2013-GuptaAM #image: Natural Image Bases to Represent Neuroimaging Data (AG, MA, AM), pp. 987–994.
ICML-c3-2013-HuangS #learning #markov #modelling: Spectral Learning of Hidden Markov Models from Dynamic and Static Data (TKH, JGS), pp. 630–638.
ICML-c3-2013-KolarLX #estimation #markov #multi #network: Markov Network Estimation From Multi-attribute Data (MK, HL, EPX), pp. 73–81.
ICML-c3-2013-KolmogorovT #algorithm #sequence: Inference algorithms for pattern-based CRFs on sequence data (RT, VK), pp. 145–153.
ICML-c3-2013-XuZZ #matrix #performance: Fast Max-Margin Matrix Factorization with Data Augmentation (MX, JZ, BZ), pp. 978–986.
KDD-2013-BakshyE #evaluation #nondeterminism #online: Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods (EB, DE), pp. 1303–1311.
KDD-2013-CannyZ #big data #data analysis: Big data analytics with small footprint: squaring the cloud (JC, HZ), pp. 95–103.
KDD-2013-ChandolaSS #information management: Knowledge discovery from massive healthcare claims data (VC, SRS, JCS), pp. 1312–1320.
KDD-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.
KDD-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.
KDD-2013-DavidsonGCW #analysis #network: Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.
KDD-2013-EmersonWN #data mining #mining #profiling: A data mining driven risk profiling method for road asset management (DE, JW, RN), pp. 1267–1275.
KDD-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.
KDD-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.
KDD-2013-GetoorM #big data: Entity resolution for big data (LG, AM), p. 1527.
KDD-2013-GundechaRFL #social #social media: A tool for collecting provenance data in social media (PG, SR, ZF, HL), pp. 1462–1465.
KDD-2013-JohnsonS #data analysis #privacy: Privacy-preserving data exploration in genome-wide association studies (AJ, VS), pp. 1079–1087.
KDD-2013-KermanyMBNM #analysis #framework: Analysis of advanced meter infrastructure data of water consumption in apartment buildings (EK, HM, DB, YN, HM), pp. 1159–1167.
KDD-2013-LeeAC #realtime #twitter #using: Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.
KDD-2013-LuceyOCRM #using: Assessing team strategy using spatiotemporal data (PL, DO, GPKC, JR, IM), pp. 1366–1374.
KDD-2013-MorstatterKLM #comprehension #twitter: Understanding Twitter data with TweetXplorer (FM, SK, HL, RM), pp. 1482–1485.
KDD-2013-NaganoITUA #modelling #parametricity: Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival data (SN, YI, NT, TU, MA), pp. 668–676.
KDD-2013-Neumann #big data #problem #using: Using “big data” to solve “small data” problems (CN), p. 1140.
KDD-2013-PapadimitriouE #bibliography #mining #mobile: Mining data from mobile devices: a survey of smart sensing and analytics (SP, TER), p. 1524.
KDD-2013-RamanSGJ #big data #pipes and filters: Beyond myopic inference in big data pipelines (KR, AS, JG, TJ), pp. 86–94.
KDD-2013-Schadt #mining #personalisation: Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.
KDD-2013-SunR #big data #data analysis: Big data analytics for healthcare (JS, CKR), p. 1525.
KDD-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.
KDD-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.
KDD-2013-Varian #predict: Predicting the present with search engine data (HV), p. 4.
KDD-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.
KDD-2013-Wright #data analysis #learning #optimisation: Optimization in learning and data analysis (SJW), p. 3.
KDD-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.
KDD-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.
KDD-2013-YangCA #social: Estimating sharer reputation via social data calibration (JY, BCC, DA), pp. 59–67.
KDD-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.
KDD-2013-ZhengLH #big data #named #quality: U-Air: when urban air quality inference meets big data (YZ, FL, HPH), pp. 1436–1444.
KDD-2013-ZhouLSYWY #identification #named: FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
KDIR-KMIS-2013-DuarteFD #clustering #constraints #using #validation: Data Clustering Validation using Constraints (JMMD, ALNF, FJFD), pp. 17–27.
KDIR-KMIS-2013-Karacapilidis #collaboration #data-driven: Mastering Data-Intensive Collaboration and Decision Making (NIK), pp. 1–11.
KDIR-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.
KDIR-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.
KEOD-2013-AlirezaieL #abduction #automation #data type #reasoning #using: Automatic Annotation of Sensor Data Streams using Abductive Reasoning (MA, AL), pp. 345–354.
KEOD-2013-HlomaniS #data-driven #evaluation #ontology #perspective #workflow: Contributing Evidence to Data-driven Ontology Evaluation — Workflow Ontologies Perspective (HH, DAS), pp. 207–213.
KEOD-2013-TodescoBZTG #data analysis: Linked Open Government Data Research Panorama (BT, BB, AZ, JLT, FOG), pp. 278–285.
MLDM-2013-CarvalhoR #bibliography #nondeterminism #perspective: Discovering Frequent Itemsets on Uncertain Data: A Systematic Review (JVdC, DDR), pp. 390–404.
MLDM-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.
MLDM-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.
MLDM-2013-NikovskiWESSMT #data analysis #detection: Smart Meter Data Analysis for Power Theft Detection (DNN, ZW, AE, HS, KS, TM, KT), pp. 379–389.
MLDM-2013-Suthaharan #big data #classification #network: A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.
MLDM-2013-ValencioKMSM #3d #data mining #mining #visualisation: 3D Geovisualisation Techniques Applied in Spatial Data Mining (CRV, TK, CAdM, RCGdS, JMM), pp. 57–68.
RecSys-2013-ChowJKS #data analysis #difference #recommendation: Differential data analysis for recommender systems (RC, HJ, BPK, GS), pp. 323–326.
RecSys-2013-Guo #recommendation #similarity #trust: Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems (GG), pp. 451–454.
RecSys-2013-KhroufT #hybrid #linked data #open data #recommendation #using: Hybrid event recommendation using linked data and user diversity (HK, RT), pp. 185–192.
RecSys-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.
RecSys-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.
RecSys-2013-ZhengI #effectiveness: Effectiveness of the data generated on different time in latent factor model (QZ, HHSI), pp. 327–330.
SEKE-2013-GaoKN #estimation #preprocessor #quality: Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation (KG, TMK, AN), pp. 612–617.
SEKE-2013-Khoshgoftaar #big data #challenge: Overcoming Big Data Challenges (TMK).
SEKE-2013-Plante #web #web service: Synchronized Data Acquisition from Web Services Serving at Disparate Rates (DRP), pp. 542–547.
SEKE-2013-StringfellowRVM #comparison #multi #set: Comparison of SRGMs and NNEs on Multiple Data Sets (CS, SR, RVT, SM), pp. 618–623.
SEKE-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.
SIGIR-2013-AgeevLA #behaviour #summary #using: Improving search result summaries by using searcher behavior data (MA, DL, EA), pp. 13–22.
SIGIR-2013-BuccioNS #linked data #open data #web: A geolinguistic web application based on linked open data (EDB, GMDN, GS), pp. 1101–1102.
SIGIR-2013-DemidovaZN #performance #query #scalability: Efficient query construction for large scale data (ED, XZ, WN), pp. 573–582.
SIGIR-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.
SIGIR-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.
SIGIR-2013-Hauff #case study: A study on the accuracy of Flickr’s geotag data (CH), pp. 1037–1040.
SIGIR-2013-Smith #big data #multi: Riding the multimedia big data wave (JRS), pp. 1–2.
BX-2013-RajkumarFLC #lens #web: Lenses for Web Data (RR, NF, SL, JC), pp. 90–110.
MoDELS-2013-SaadB #analysis #data flow: Data-Flow Based Model Analysis and Its Applications (CS, BB), pp. 707–723.
MoDELS-2013-SaadB #analysis #data flow: Data-Flow Based Model Analysis and Its Applications (CS, BB), pp. 707–723.
OOPSLA-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.
OOPSLA-2013-NorrisD #c #c++ #concurrent #data type #named: CDSchecker: checking concurrent data structures written with C/C++ atomics (BN, BD), pp. 131–150.
OOPSLA-2013-SharmaSCA #data-driven #equivalence: Data-driven equivalence checking (RS, ES, BRC, AA), pp. 391–406.
OOPSLA-2013-TreichlerBA #clustering: Language support for dynamic, hierarchical data partitioning (ST, MB, AA), pp. 495–514.
GPCE-2013-KurilovaR #data type #linked data #on the #open data: On the simplicity of synthesizing linked data structure operations (DK, DR), pp. 155–158.
PPDP-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.
POPL-2013-FarzanKP #data flow #graph #induction: Inductive data flow graphs (AF, ZK, AP), pp. 129–142.
POPL-2013-HenzingerKPSS #concurrent #data type: Quantitative relaxation of concurrent data structures (TAH, CMK, HP, AS, AS), pp. 317–328.
POPL-2013-HoborV #data type: The ramifications of sharing in data structures (AH, JV), pp. 523–536.
POPL-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.
SAC-2013-AlmeidaKG #data type #random: Random rules from data streams (EA, PK, JG), pp. 813–814.
SAC-2013-AnielloQB #data transformation: Input data organization for batch processing in time window based computations (LA, LQ, RB), pp. 363–370.
SAC-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.
SAC-2013-BerralGT #automation #machine learning: Empowering automatic data-center management with machine learning (JLB, RG, JT), pp. 170–172.
SAC-2013-BifetPRH #adaptation #classification #data type #performance #probability: Efficient data stream classification via probabilistic adaptive windows (AB, BP, JR, GH), pp. 801–806.
SAC-2013-BurtiniFL #adaptation #data transfer #web: Reducing data transfer for charts on adaptive web sites (GB, SF, RL), pp. 865–867.
SAC-2013-FariaGC #algorithm #data type #detection #multi #problem: Novelty detection algorithm for data streams multi-class problems (ERF, JG, ACPLFC), pp. 795–800.
SAC-2013-FerreiraM: Estimating the size of data mart projects (WGF, HTMN), pp. 1147–1148.
SAC-2013-GholipourHB #adaptation #data type: An adaptive regression tree for non-stationary data streams (AG, MJH, HB), pp. 815–817.
SAC-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.
SAC-2013-GrootGYNK #data-driven #distributed #modelling: Modeling I/O interference for data intensive distributed applications (SG, KG, DY, MN, MK), pp. 343–350.
SAC-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.
SAC-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.
SAC-2013-KolbR #abstraction #adaptation #data flow #process: Data flow abstractions and adaptations through updatable process views (JK, MR), pp. 1447–1453.
SAC-2013-KumarR #algorithm #data type #identification #online: Online identification of frequently executed acyclic paths by leveraging data stream algorithms (GK, SR), pp. 1694–1695.
SAC-2013-LeoniA #mining #process #using: Data-aware process mining: discovering decisions in processes using alignments (MdL, WMPvdA), pp. 1454–1461.
SAC-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.
SAC-2013-LommatzschKA #hybrid #learning #modelling #recommendation #semantics: Learning hybrid recommender models for heterogeneous semantic data (AL, BK, SA), pp. 275–276.
SAC-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.
SAC-2013-Markovski #communication #coordination #probability #process #reliability: Reliable supervisory coordination of stochastic communicating processes with data (JM), pp. 1347–1354.
SAC-2013-MontaliCMM #constraints #towards: Towards data-aware constraints in declare (MM, FC, PM, FMM), pp. 1391–1396.
SAC-2013-MottaLNRJO #algorithm #clustering #relational: Comparing relational and non-relational algorithms for clustering propositional data (RM, AdAL, BMN, SOR, AMJ, MCFdO), pp. 150–155.
SAC-2013-PerazzoWM #framework: A data warehouse as an infrastructure to mine molecular descriptors for virtual screening (GXP, ATW, KSM), pp. 1335–1336.
SAC-2013-RubackPMOSC #linked data #open data #statistics: A mediator for statistical linked data (LR, MP, SM, SO, PERS, MAC), pp. 339–341.
SAC-2013-SaitoRFSG #approach #image #performance #reduction: A data reduction and organization approach for efficient image annotation (PTMS, PJdR, AXF, CTNS, JFG), pp. 53–57.
SAC-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.
SAC-2013-TripletB #benchmark #biology #framework #metric #named: BenchDW: a generic framework for biological data warehouse benchmarking (TT, GB), pp. 1328–1334.
SAC-2013-YeLZ #correlation #named: GCplace: geo-cloud based correlation aware data replica placement (ZY, SL, XZ), pp. 371–376.
SAC-2013-ZagareseCZAPB #data-driven #interactive #performance: Efficient data-intensive event-driven interaction in SOA (QZ, GC, EZ, IA, LP, FB), pp. 1907–1912.
SAC-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.
SAC-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.
SAC-2013-ZhangHMZMM #data type #mining: Mining frequent itemsets over tuple-evolving data streams (CZ, YH, MM, CZ, HM, FM), pp. 267–274.
ESEC-FSE-2013-ClaretRNGB #analysis #data flow #using: Bayesian inference using data flow analysis (GC, SKR, AVN, ADG, JB), pp. 92–102.
ESEC-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-FSE-2013-MusluBM #debugging #testing: Data debugging with continuous testing (KM, YB, AM), pp. 631–634.
ESEC-FSE-2013-NguyenX #detection #named: Cachetor: detecting cacheable data to remove bloat (KN, G(X), pp. 268–278.
ESEC-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.
ICSE-2013-BartensteinL #data-driven: Green streams for data-intensive software (TB, YDL), pp. 532–541.
ICSE-2013-Baysal #development: Informing development decisions: from data to information (OB), pp. 1407–1410.
ICSE-2013-Dagnino: Estimating software-intensive projects in the absence of historical data (AD), pp. 941–950.
ICSE-2013-HermansSPD #clone detection #detection #spreadsheet #visualisation: Data clone detection and visualization in spreadsheets (FH, BS, MP, AvD), pp. 292–301.
ICSE-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.
ICSE-2013-MarinoHDVTV #concurrent #detection #source code: Detecting deadlock in programs with data-centric synchronization (DM, CH, JD, MV, FT, JV), pp. 322–331.
ICSE-2013-MenziesKPTM #re-engineering: Data science for software engineering (TM, EK, FP, BT, LLM), pp. 1484–1486.
ICSE-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.
ICSE-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.
LDTA-J-2009-LammelTK #fault #programming #source code #traversal: Programming errors in traversal programs over structured data (RL, SJT, MK), pp. 1770–1808.
ASPLOS-2013-WesterDCFN #concurrent #detection: Parallelizing data race detection (BW, DD, PMC, JF, SN), pp. 27–38.
CGO-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.
CGO-2013-GreweWO #parallel #source code: Portable mapping of data parallel programs to OpenCL for heterogeneous systems (DG, ZW, MFPO), p. 10.
CGO-2013-LeeKGKA #architecture #convergence: Convergence and scalarization for data-parallel architectures (YL, RK, VG, SWK, KA), p. 11.
CGO-2013-RenALMPS #data type #parallel: SIMD parallelization of applications that traverse irregular data structures (BR, GA, JRL, TM, TP, WS), p. 10.
CGO-2013-ZhangM #named #parallel: Hidp: A hierarchical data parallel language (YZ, FM), p. 11.
HPCA-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.
HPCA-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.
HPCA-2013-HouJZQDWGZ #effectiveness: Cost effective data center servers (RH, TJ, LZ, PQ, JD, HW, XG, SZ), pp. 179–187.
HPCA-2013-LiZL #distributed #generative: Enabling distributed generation powered sustainable high-performance data center (CL, RZ, TL), pp. 35–46.
HPCA-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.
HPDC-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.
HPDC-2013-SuAWMWA #dataset #distributed #using: Taming massive distributed datasets: data sampling using bitmap indices (YS, GA, JW, KM, JW, JPA), pp. 13–24.
HPDC-2013-XuS0 #big data #named: IBIS: interposed big-data I/O scheduler (YX, AS, MZ), pp. 109–110.
ISMM-2013-BuBXC #big data #design: A bloat-aware design for big data applications (YB, VRB, G(X, MJC), pp. 119–130.
PPoPP-2013-BergstromFRRRS #parallel: Data-only flattening for nested data parallelism (LB, MF, MR, JHR, SR, AS), pp. 81–92.
PPoPP-2013-LiuDJK #architecture #layout #optimisation: Data layout optimization for GPGPU architectures (JL, WD, OJ, MTK), pp. 283–284.
PPoPP-2013-ParkSI #concurrent #detection #scalability #source code: Scalable data race detection for partitioned global address space programs (CSP, KS, CI), pp. 305–306.
PPoPP-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.
PPoPP-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.
PPoPP-2013-XiangS #compilation #concurrent #data type #performance: Compiler aided manual speculation for high performance concurrent data structures (LX, MLS), pp. 47–56.
SOSP-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.
SOSP-2013-KasikciZC #concurrent #crowdsourcing #detection #named: RaceMob: crowdsourced data race detection (BK, CZ, GC), pp. 406–422.
CADE-2013-BaaderBL #data access #ontology: Temporalizing Ontology-Based Data Access (FB, SB, ML), pp. 330–344.
CAV-2013-0001LMN #data type #invariant #learning #linear #quantifier: Learning Universally Quantified Invariants of Linear Data Structures (PG, CL, PM, DN), pp. 813–829.
CAV-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.
ICST-2013-BagnaraCGG #float #generative #source code #testing: Symbolic Path-Oriented Test Data Generation for Floating-Point Programs (RB, MC, RG, AG), pp. 1–10.
ICST-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.
ISSTA-2013-Ghaith #analysis #performance #testing #transaction: Analysis of performance regression testing data by transaction profiles (SG), pp. 370–373.
ISSTA-2013-NijjarB: Data model property inference and repair (JN, TB), pp. 202–212.
LICS-2013-DemriFP #reasoning: Reasoning about Data Repetitions with Counter Systems (SD, DF, MP), pp. 33–42.
LICS-2013-GhaniMFS #data type: Fibred Data Types (NG, LM, FNF, AS), pp. 243–252.
WICSA-ECSA-2012-BegoliH #big data #design #effectiveness #information management: Design Principles for Effective Knowledge Discovery from Big Data (EB, JLH), pp. 215–218.
ASE-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.
ASE-2012-LuciaLJB #evolution #named #source code #testing: kbe-anonymity: test data anonymization for evolving programs (L, DL, LJ, AB), pp. 262–265.
ASE-2012-NijjarB #bound #smt #using #verification: Unbounded data model verification using SMT solvers (JN, TB), pp. 210–219.
CASE-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.
CASE-2012-EndoNH #energy #estimation: Simplified Factory Energy Management System based on operational condition estimation by sensor data (ME, HN, YH), pp. 14–19.
CASE-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.
CASE-2012-NganYY #modelling #process: Modeling of traffic data characteristics by Dirichlet Process Mixtures (HYTN, NHCY, AGOY), pp. 224–229.
CASE-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.
CASE-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.
CASE-2012-YangTCHC: A dual-forecast scheme for production output with paired/unpaired WIP data (HCY, THT, CYC, MHH, FTC), pp. 581–586.
CASE-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.
DAC-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.
DAC-2012-KahngLN #estimation #modelling: Explicit modeling of control and data for improved NoC router estimation (ABK, BL, SN), pp. 392–397.
DAC-2012-WangPYLKB #optimisation #testing: Test-data volume optimization for diagnosis (HW, OP, XY, SL, IK, RDB), pp. 567–572.
DAC-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.
DATE-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.
DATE-2012-DangWTLYW #energy #named #performance: S/DC: A storage and energy efficient data prefetcher (XD, XW, DT, JL, JY, KW), pp. 461–466.
DATE-2012-FradetGP #data flow #named #parametricity: SPDF: A schedulable parametric data-flow MoC (PF, AG, PP), pp. 769–774.
DATE-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.
DATE-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.
DATE-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.
DATE-2012-WalravensD #architecture #design #energy: Design of a low-energy data processing architecture for WSN nodes (CW, WD), pp. 570–573.
DATE-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.
HT-2012-ChairunnandaFD #graph #modelling #network #online #social: Graph data partition models for online social networks (PC, SF, KD), pp. 175–180.
HT-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.
HT-2012-HartigF #execution #linked data #open data #query #traversal: Foundations of traversal based query execution over linked data (OH, JCF), pp. 43–52.
HT-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.
HT-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.
PODS-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.
PODS-2012-KoutrisUBHS: Query-based data pricing (PK, PU, MB, BH, DS), pp. 167–178.
PODS-2012-Mahoney #approximate #data analysis #scalability: Approximate computation and implicit regularization for very large-scale data analysis (MWM), pp. 143–154.
PODS-2012-Nekrich #category theory: Space-efficient range reporting for categorical data (YN), pp. 113–120.
PODS-2012-TirthapuraW #data type: Rectangle-efficient aggregation in spatial data streams (ST, DPW), pp. 283–294.
SIGMOD-2012-AlagiannisBBIA #execution #named #performance #query: NoDB: efficient query execution on raw data files (IA, RB, MB, SI, AA), pp. 241–252.
SIGMOD-2012-BalminKT #named: Clydesdale: structured data processing on hadoop (AB, TK, ST), pp. 705–708.
SIGMOD-2012-ChengQR #big data #data analysis #named: GLADE: big data analytics made easy (YC, CQ, FR), pp. 697–700.
SIGMOD-2012-DeutchM: Mob data sourcing (DD, TM), pp. 581–584.
SIGMOD-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.
SIGMOD-2012-GiatrakosDGSS #data type #distributed #geometry #monitoring #predict: Prediction-based geometric monitoring over distributed data streams (NG, AD, MNG, IS, AS), pp. 265–276.
SIGMOD-2012-Hanrahan #database: Analytic database technologies for a new kind of user: the data enthusiast (PH), pp. 577–578.
SIGMOD-2012-HarthHS #data transformation #database #linked data #open data: Database techniques for linked data management (AH, KH, RS), pp. 597–600.
SIGMOD-2012-KanneE #data-driven #declarative #fault #robust: Declarative error management for robust data-intensive applications (CCK, VE), pp. 205–216.
SIGMOD-2012-MohanTSSC #data analysis #named #privacy: GUPT: privacy preserving data analysis made easy (PM, AT, ES, DS, DEC), pp. 349–360.
SIGMOD-2012-MortonBMMS #integration: Dynamic workload driven data integration in tableau (KM, RB, JDM, RM, CS), pp. 807–816.
SIGMOD-2012-ParameswaranGPPRW #algorithm #named: CrowdScreen: algorithms for filtering data with humans (AGP, HGM, HP, NP, AR, JW), pp. 361–372.
SIGMOD-2012-PengYZWY #difference #multi #named #privacy: DP-tree: indexing multi-dimensional data under differential privacy (abstract only) (SP, YY, ZZ, MW, YY), p. 864.
SIGMOD-2012-RosnerHGPB #correlation #performance #word: Fast sampling word correlations of high dimensional text data (abstract only) (FR, AH, MG, MP, AB), p. 866.
SIGMOD-2012-SimitsisWCD #data flow #execution #multi #optimisation: Optimizing analytic data flows for multiple execution engines (AS, KW, MC, UD), pp. 829–840.
SIGMOD-2012-Vahdat #data transformation #network: Symbiosis in scale out networking and data management (AV), pp. 579–580.
SIGMOD-2012-Vaithyanathan #enterprise #social #social media: The value of social media data in enterprise applications (SV), pp. 755–756.
SIGMOD-2012-YangZMWX #analysis #difference #privacy: Differential privacy in data publication and analysis (YY, ZZ, GM, MW, XX), pp. 601–606.
VLDB-2012-AbouziedHS #query #specification: Playful Query Specification with DataPlay (AA, JMH, AS), pp. 1938–1941.
VLDB-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.
VLDB-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.
VLDB-2012-AlagiannisBBIA #adaptation #query: NoDB in Action: Adaptive Query Processing on Raw Data (IA, RB, MB, SI, AA), pp. 1942–1945.
VLDB-2012-AlexandrovTM #generative #named #scalability: Myriad: Scalable and Expressive Data Generation (AA, KT, VM), pp. 1890–1893.
VLDB-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.
VLDB-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.
VLDB-2012-DalviMP #analysis #web: An Analysis of Structured Data on the Web (NND, AM, BP), pp. 680–691.
VLDB-2012-DasuL #statistics: Statistical Distortion: Consequences of Data Cleaning (TD, JML), pp. 1674–1683.
VLDB-2012-Dietrich #data analysis: Data Analytics Opportunities in a Smarter Planet (BD), p. 1697.
VLDB-2012-DittrichQ #big data #performance #pipes and filters: Efficient Big Data Processing in Hadoop MapReduce (JD, JAQR), pp. 2014–2015.
VLDB-2012-EberiusTBL #named #open data #web: DrillBeyond: Enabling Business Analysts to Explore the Web of Open Data (JE, MT, KB, WL), pp. 1978–1981.
VLDB-2012-EwenTKM #data flow #performance: Spinning Fast Iterative Data Flows (SE, KT, MK, VM), pp. 1268–1279.
VLDB-2012-FunkeKN #database #hybrid #transaction: Compacting Transactional Data in Hybrid OLTP & OLAP Databases (FF, AK, TN), pp. 1424–1435.
VLDB-2012-GulloT #clustering #nondeterminism: Uncertain Centroid based Partitional Clustering of Uncertain Data (FG, AT), pp. 610–621.
VLDB-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.
VLDB-2012-Jensen #data transformation #web: Data Management on the Spatial Web (CSJ), p. 1696.
VLDB-2012-JestesPLT #ranking #scalability: Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
VLDB-2012-KoutrisUBHS #online: QueryMarket Demonstration: Pricing for Online Data Markets (PK, PU, MB, BH, DS), pp. 1962–1965.
VLDB-2012-LabrinidisJ #big data #challenge: Challenges and Opportunities with Big Data (AL, HVJ), pp. 2032–2033.
VLDB-2012-LamLPRVD #named #performance: Muppet: MapReduce-Style Processing of Fast Data (WL, LL, SP, AR, ZV, AD), pp. 1814–1825.
VLDB-2012-LeeLLLR #data analysis #framework #twitter: The Unified Logging Infrastructure for Data Analytics at Twitter (GL, JL, CL, AL, DVR), pp. 1771–1780.
VLDB-2012-LiarouIMK #named #online #streaming: MonetDB/DataCell: Online Analytics in a Streaming Column-Store (EL, SI, SM, MLK), pp. 1910–1913.
VLDB-2012-LiuLOSWZ #crowdsourcing #data analysis #named: CDAS: A Crowdsourcing Data Analytics System (XL, ML, BCO, YS, SW, MZ), pp. 1040–1051.
VLDB-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.
VLDB-2012-MankuM #approximate #data type: Approximate Frequency Counts over Data Streams (GSM, RM), p. 1699.
VLDB-2012-MihaylovIG #named #recursion: REX: Recursive, Delta-Based Data-Centric Computation (SRM, ZGI, SG), pp. 1280–1291.
VLDB-2012-MorishimaSMAF #crowdsourcing #declarative #framework #named: CyLog/Crowd4U: A Declarative Platform for Complex Data-centric Crowdsourcing (AM, NS, TM, HA, SF), pp. 1918–1921.
VLDB-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.
VLDB-2012-PapapetrouGD #data type #distributed #query #sketching: Sketch-based Querying of Distributed Sliding-Window Data Streams (OP, MNG, AD), pp. 992–1003.
VLDB-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.
VLDB-2012-RoyDMSW #analysis: Massive Genomic Data Processing and Deep Analysis (AR, YD, EM, YS, BLW), pp. 1906–1909.
VLDB-2012-Sahin #challenge #clustering #self: Challenges in Economic Massive Content Storage and Management (MCSAM) in the Era of Self-Organizing, Self-Expanding and Self-Linking Data Clusters (KES), p. 1698.
VLDB-2012-Shim #algorithm #big data #data analysis #pipes and filters: MapReduce Algorithms for Big Data Analysis (KS), pp. 2016–2017.
VLDB-2012-SunHYY #analysis #approach #mining #network: Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDB-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.
VLDB-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.
VLDB-2012-ZengJZ #logic #query: Adding Logical Operators to Tree Pattern Queries on Graph-Structured Data (QZ, XJ, HZ), pp. 728–739.
VLDB-2012-ZhaoRGH #approach #integration: A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration (BZ, BIPR, JG, JH), pp. 550–561.
CSEET-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.
ITiCSE-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.
ITiCSE-2012-Khalifa #data type: Intuitive thinking while dealing with abstract data types (WK), p. 391.
ITiCSE-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.
FASE-2012-MolRH #graph #java: Graph Transforming Java Data (MdM, AR, JJH), pp. 209–223.
FoSSaCS-2012-BolligCGK #model checking #word: Model Checking Languages of Data Words (BB, AC, PG, KNK), pp. 391–405.
TACAS-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.
TACAS-2012-SonnexDE #automation #data type #named #proving #recursion: Zeno: An Automated Prover for Properties of Recursive Data Structures (WS, SD, SE), pp. 407–421.
TACAS-2012-ZaeemGKM #data type #satisfiability #using: History-Aware Data Structure Repair Using SAT (RNZ, DG, SK, KSM), pp. 2–17.
CSMR-2012-KovacsD #data-driven #visual notation: Visual Modeler for Data Intensive Tasks (FK, ZD), pp. 509–512.
ICPC-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.
ICSM-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.
ICSM-2012-Song0XS #api #data access: Inferring the data access from the clients of generic APIs (HS, GH, YX, YS), pp. 388–397.
MSR-2012-BaysalHG #development #mining: Mining usage data and development artifacts (OB, RH, MWG), pp. 98–107.
MSR-2012-GousiosS #git #named: GHTorrent: Github’s data from a firehose (GG, DS), pp. 12–21.
MSR-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.
MSR-2012-PosnettDF #correlation: MIC check: A correlation tactic for ESE data (DP, PTD, VF), pp. 22–31.
MSR-2012-RotellaC #analysis #bibliography: Analysis of customer satisfaction survey data (PR, SC), pp. 88–97.
MSR-2012-SadowskiYK #evolution: The evolution of data races (CS, JY, SK), pp. 171–174.
SCAM-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.
SCAM-2012-LazarescuL #analysis #c #dependence #parallel #source code: Dynamic Trace-Based Data Dependency Analysis for Parallelization of C Programs (MTL, LL), pp. 126–131.
WCRE-2012-ZiftciK #data mining #feature model #mining #using: Feature Location Using Data Mining on Existing Test-Cases (CZ, IK), pp. 155–164.
PEPM-2012-KobayashiMS #functional #source code: Functional programs as compressed data (NK, KM, AS), pp. 121–130.
PEPM-2012-MatsudaIN #cumulative #multi #polynomial #traversal: Polynomial-time inverse computation for accumulative functions with multiple data traversals (KM, KI, KN), pp. 5–14.
PLDI-2012-HawkinsAFRS #concurrent #data transformation #representation #synthesis: Concurrent data representation synthesis (PH, AA, KF, MCR, MS), pp. 417–428.
FLOPS-2012-RoseVS #data flow #hybrid #programming language #query: A Data Flow Language for Hybrid Query and Programming Languages (KHR, LV, NS), pp. 228–242.
ICALP-v2-2012-BojanczykP12a #towards: Toward Model Theory with Data Values (MB, TP), pp. 116–127.
ICALP-v2-2012-KaneMSS #data type: Counting Arbitrary Subgraphs in Data Streams (DMK, KM, TS, HS), pp. 598–609.
LATA-2012-KaraST #automaton #logic #word: Feasible Automata for Two-Variable Logic with Successor on Data Words (AK, TS, TT), pp. 351–362.
ICFP-2012-BergstromR #gpu: Nested data-parallelism on the gpu (LB, JHR), pp. 247–258.
CHI-2012-CorrellAFG: Comparing averages in time series data (MC, DA, SF, MG), pp. 1095–1104.
CHI-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.
CHI-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.
CHI-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.
CHI-2012-KanoR #experience: Interchangeability of computer and paper based questionnaires in gathering computer experience data from young children (AK, JCR), pp. 2397–2400.
CHI-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.
CHI-2012-MetoyerLRC #comprehension #visualisation: Understanding the verbal language and structure of end-user descriptions of data visualizations (RAM, BL, NHR, MC), pp. 1659–1662.
CHI-2012-WallnerK #analysis #approach #visualisation: A spatiotemporal visualization approach for the analysis of gameplay data (GW, SK), pp. 1115–1124.
CHI-2012-WillettHA #crowdsourcing #data analysis #social: Strategies for crowdsourcing social data analysis (WW, JH, MA), pp. 227–236.
CSCW-2012-HarboeMIH #collaboration #data analysis #diagrams: Computer support for collaborative data analysis: augmenting paper affinity diagrams (GH, JM, II, EMH), pp. 1179–1182.
CSCW-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.
CSCW-2012-OleksikMJ #collaboration #research: Beyond data sharing: artifact ecology of a collaborative nanophotonics research centre (GO, NMF, RJ), pp. 1165–1174.
HILT-2012-OLearyS #automation #communication #development: FAA’s controller pilot automatic data communication (data comm) system software development (JO, AS), pp. 71–72.
CAiSE-2012-CastanoFM #data analysis #linked data #open data: Clouding Services for Linked Data Exploration (SC, AF, SM), pp. 486–501.
CAiSE-2012-LyIMR #data transformation #mining #process #semantics: Data Transformation and Semantic Log Purging for Process Mining (LTL, CI, JM, SRM), pp. 238–253.
ICEIS-J-2012-StuckenschmidtNF12a #integration: User-Centric Data Integration with the MappingAssistant (HS, JN, FF), pp. 323–339.
ICEIS-v1-2012-Ali #data flow #integration #optimisation #query #web: Optimizing Data Integration Queries over Web Data Sources (OPTIQ) (MIA), pp. 163–168.
ICEIS-v1-2012-AndradeBS #retrieval: A Temporal Search Engine to Improve Geographic Data Retrieval in Spatial Data Infrastructures (FGdA, CdSB, US), pp. 56–65.
ICEIS-v1-2012-GascuenaG #modelling: Data Processing Modeling in Decision Support Systems (CMG, RG), pp. 133–138.
ICEIS-v1-2012-Torres-RiberoQ #adaptation #collaboration: Adaptive Data Distribution for Collaboration (LGTR, APQ), pp. 157–162.
ICEIS-v2-2012-LukaszewskiJL #data mining #mining #ontology #semantics #using: Attribute Value Ontology — Using Semantics in Data Mining (TL, JJ, AL), pp. 329–334.
ICEIS-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.
ICEIS-v3-2012-StuckenschmidtNF #case study #integration: A Study in User-centric Data Integration (HS, JN, FF), pp. 5–14.
CIKM-2012-AbedjanLN #ontology #web: Reconciling ontologies and the web of data (ZA, JL, FN), pp. 1532–1536.
CIKM-2012-AkogluTVF #category theory #detection #performance #reliability: Fast and reliable anomaly detection in categorical data (LA, HT, JV, CF), pp. 415–424.
CIKM-2012-Aranda-AndujarBCCGKM #named #repository #web: AMADA: web data repositories in the amazon cloud (AAA, FB, JCR, DC, FG, ZK, IM), pp. 2749–2751.
CIKM-2012-BhuiyanMH #interactive #mining: Interactive pattern mining on hidden data: a sampling-based solution (MB, SM, MAH), pp. 95–104.
CIKM-2012-BohmKN #topic: Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.
CIKM-2012-BohmMNW #distributed #named: LINDA: distributed web-of-data-scale entity matching (CB, GdM, FN, GW), pp. 2104–2108.
CIKM-2012-BordinoDP: Extracting interesting association rules from toolbar data (IB, DD, BP), pp. 2543–2546.
CIKM-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.
CIKM-2012-ChenW #automation #classification #naive bayes: Automated feature weighting in naive bayes for high-dimensional data classification (LC, SW), pp. 1243–1252.
CIKM-2012-ChoiLKLM #named #parallel #query #xml: HadoopXML: a suite for parallel processing of massive XML data with multiple twig pattern queries (HC, KHL, SHK, YJL, BM), pp. 2737–2739.
CIKM-2012-Chung #using: Finding food entity relationships using user-generated data in recipe service (YjC), pp. 2611–2614.
CIKM-2012-DaiZLP #mining #web: Mining coherent anomaly collections on web data (HD, FZ, EPL, HP), pp. 1557–1561.
CIKM-2012-DragutOMMBS: Lonomics Atlas: a tool to explore interconnected ionomic, genomic and environmental data (ECD, MO, AM, NM, PB, DES), pp. 2680–2682.
CIKM-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.
CIKM-2012-EmrichKMRZ #nondeterminism: Indexing uncertain spatio-temporal data (TE, HPK, NM, MR, AZ), pp. 395–404.
CIKM-2012-FanZCCO #clustering: Maximum margin clustering on evolutionary data (XF, LZ, LC, XC, YSO), pp. 625–634.
CIKM-2012-FukumotoYMS #classification #documentation: Text classification with relatively small positive documents and unlabeled data (FF, TY, SM, YS), pp. 2315–2318.
CIKM-2012-GaoCK #graph #keyword #scalability: Information-complete and redundancy-free keyword search over large data graphs (BJG, ZC, QK), pp. 2639–2642.
CIKM-2012-GuoLA #fine-grained #interactive #predict #web: Predicting web search success with fine-grained interaction data (QG, DL, EA), pp. 2050–2054.
CIKM-2012-HanFJ #query: Schema-free structured querying of DBpedia data (LH, TF, AJ), pp. 2090–2093.
CIKM-2012-HasanMTK #query: Diversifying query results on semi-structured data (MH, AM, VJT, EJK), pp. 2099–2103.
CIKM-2012-HerschelE #comprehension #data transformation #debugging: The nautilus analyzer: understanding and debugging data transformations (MH, HE), pp. 2731–2733.
CIKM-2012-HofmannWR #comparison: Estimating interleaved comparison outcomes from historical click data (KH, SW, MdR), pp. 1779–1783.
CIKM-2012-JinCKLZ #protocol #query: A filter-based protocol for continuous queries over imprecise location data (YJ, RC, BK, KyL, YZ), pp. 365–374.
CIKM-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.
CIKM-2012-KummamuruJD #generative #navigation: Generating facets for phone-based navigation of structured data (KK, AJ, MD), pp. 1283–1292.
CIKM-2012-LokocWSR #3d #similarity #video: Similarity search in 3D object-based video data (JL, JW, TS, AR), pp. 2655–2658.
CIKM-2012-LongCZZ #classification #named #using: TCSST: transfer classification of short & sparse text using external data (GL, LC, XZ, CZ), pp. 764–772.
CIKM-2012-MaRHMHZCL #performance: An efficient index for massive IOT data in cloud environment (YM, JR, WH, XM, XH, YZ, YC, CL), pp. 2129–2133.
CIKM-2012-MeccaPRS #data transformation #question #what: What is the IQ of your data transformation system? (GM, PP, SR, DS), pp. 872–881.
CIKM-2012-NiuRWY #effectiveness #mining #web: An effective rule miner for instance matching in a web of data (XN, SR, HW, YY), pp. 1085–1094.
CIKM-2012-OrangS #approach #correlation #nondeterminism #probability #query: A probabilistic approach to correlation queries in uncertain time series data (MO, NS), pp. 2229–2233.
CIKM-2012-PanZ #correlation #data type #graph #named #query: CGStream: continuous correlated graph query for data streams (SP, XZ), pp. 1183–1192.
CIKM-2012-QinZWWZH #migration #optimisation: Optimizing data migration for cloud-based key-value stores (XQ, WZ, WW, JW, XZ, TH), pp. 2204–2208.
CIKM-2012-SavkovicPPN #named: MAGIK: managing completeness of data (OS, PM, SP, WN), pp. 2725–2727.
CIKM-2012-SongKNCXB #network #social: Discretionary social network data revelation with a user-centric utility guarantee (YS, PK, SN, GC, MX, SB), pp. 1572–1576.
CIKM-2012-SunG #learning: Active learning for relation type extension with local and global data views (AS, RG), pp. 1105–1112.
CIKM-2012-TanLN #data analysis #named: CloST: a hadoop-based storage system for big spatio-temporal data analytics (HT, WL, LMN), pp. 2139–2143.
CIKM-2012-TranC #named #performance #sorting: SliceSort: efficient sorting of hierarchical data (QTT, CYC), pp. 2109–2113.
CIKM-2012-Vitter #data type: Compressed data structures with relevance (JSV), pp. 4–5.
CIKM-2012-VlachosWS #clustering: Right-protected data publishing with hierarchical clustering preservation (MV, AW, JS), pp. 654–663.
CIKM-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.
CIKM-2012-XueKRKP #network #random #social: Delineating social network data anonymization via random edge perturbation (MX, PK, CR, PK, HKP), pp. 475–484.
CIKM-2012-ZhaoN #approach #data type #modelling: A model-based approach for RFID data stream cleansing (ZZ, WN), pp. 862–871.
ECIR-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.
ECIR-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.
ICML-2012-BiessmannPBH #canonical #detection #roadmap #web: Canonical Trends: Detecting Trend Setters in Web Data (FB, JMP, MLB, AH), p. 170.
ICML-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.
ICML-2012-KleinerTSJ #big data: The Big Data Bootstrap (AK, AT, PS, MIJ), p. 232.
ICML-2012-KolarX #consistency: Consistent Covariance Selection From Data With Missing Values (MK, EPX), p. 85.
ICML-2012-KumarTAK #data-driven #design #web: Data-driven Web Design (RK, JOT,