BibSLEIGH — Proceedings of the 33rd ACM SIGMOD International Conference on Management of Data

Timos Sellis, Susan B. Davidson, Zachary G. Ives
Proceedings of the 33rd ACM SIGMOD International Conference on Management of Data
SIGMOD, 2015.

DATA

@proceedings{SIGMOD-2015,
	acmid         = "2723372",
	address       = "Victoria, Australia",
	editor        = "Timos Sellis and Susan B. Davidson and Zachary G. Ives",
	isbn          = "978-1-4503-2758-9",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 33rd ACM SIGMOD International Conference on Management of Data}",
	year          = 2015,
}

Contents (168 items)

SIGMOD-2015-Patel: From Data to Insights @ Bare Metal Speed (JMP), p. 1.
SIGMOD-2015-YanZHSMZM #detection #distributed #using: Distributed Outlier Detection using Compressive Sensing (YY, JZ, BH, XS, JM, ZZ, TM), pp. 3–16.
SIGMOD-2015-ZamanianBS #clustering #database #parallel: Locality-aware Partitioning in Parallel Database Systems (EZ, CB, AS), pp. 17–30.
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-AlexandrovKKSTK #parallel: Implicit Parallelism through Deep Language Embedding (AA, AK, AK, FS, LT, OK, TH, VM), pp. 47–61.
SIGMOD-2015-ChuBS #database #evaluation #parallel #performance #query #theory and practice: From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System (SC, MB, DS), pp. 63–78.
SIGMOD-2015-ElgamalYAMH #analysis #big data #component #distributed #named #platform #scalability: sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms (TE, MY, AA, WM, MH), pp. 79–91.
SIGMOD-2015-YuSC #dependence #distributed #matrix #performance: Exploiting Matrix Dependency for Efficient Distributed Matrix Computation (LY, YS, BC), pp. 93–105.
SIGMOD-2015-TeflioudiGM #matrix #named #performance #retrieval #scalability: LEMP: Fast Retrieval of Large Entries in a Matrix Product (CT, RG, OM), pp. 107–122.
SIGMOD-2015-DugganPBS #array #database #optimisation: Skew-Aware Join Optimization for Array Databases (JD, OP, LB, MS), pp. 123–135.
SIGMOD-2015-HuangBTRTR #machine learning #scalability: Resource Elasticity for Large-Scale Machine Learning (BH, MB, YT, BR, ST, FRR), pp. 137–152.
SIGMOD-2015-OktayMKK #hybrid #named #performance #pipes and filters: SEMROD: Secure and Efficient MapReduce Over HybriD Clouds (KYO, SM, VK, MK), pp. 153–166.
SIGMOD-2015-ChenHX #authentication #integration #online: Authenticated Online Data Integration Services (QC, HH, JX), pp. 167–181.
SIGMOD-2015-HangKD #data access #named #query: ENKI: Access Control for Encrypted Query Processing (IH, FK, ED), pp. 183–196.
SIGMOD-2015-MoffittSAM #collaboration #data access: Collaborative Access Control in WebdamLog (VZM, JS, SA, GM), pp. 197–211.
SIGMOD-2015-UpadhyayaBS #automation #policy: Automatic Enforcement of Data Use Policies with DataLawyer (PU, MB, DS), pp. 213–225.
SIGMOD-2015-HuangCZJX #named #realtime #recommendation: TencentRec: Real-time Stream Recommendation in Practice (YH, BC, WZ, JJ, YX), pp. 227–238.
SIGMOD-2015-KulkarniBFKKMPR #scalability #twitter: Twitter Heron: Stream Processing at Scale (SK, NB, MF, VK, CK, SM, JMP, KR, ST), pp. 239–250.
SIGMOD-2015-BraunEGKKWAILL #database #performance #realtime: Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database (LB, TE, GG, MK, DK, DW, AA, AI, EL, NL), pp. 251–264.
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-IdreosPC #data analysis #overview: Overview of Data Exploration Techniques (SI, OP, SC), pp. 277–281.
SIGMOD-2015-ReABCJKR #database #machine learning #question: Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? (CR, DA, MB, MIC, MIJ, TK, RR), pp. 283–284.
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-ElmoreATPAA #configuration management #database #fine-grained #in memory #memory management #named: Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases (AJE, VA, RT, AP, DA, AEA), pp. 299–313.
SIGMOD-2015-MishimaF #database #middleware #migration #named: Madeus: Database Live Migration Middleware under Heavy Workloads for Cloud Environment (TM, YF), pp. 315–329.
SIGMOD-2015-AlvaroRH #fault #injection: Lineage-driven Fault Injection (PA, JR, JMH), pp. 331–346.
SIGMOD-2015-ChenC: Diversity-Aware Top-k Publish/Subscribe for Text Stream (LC, GC), pp. 347–362.
SIGMOD-2015-FakasCM #keyword #summary: Diverse and Proportional Size-l Object Summaries for Keyword Search (GJF, ZC, NM), pp. 363–375.
SIGMOD-2015-YangWWW #approximate #performance #query #string: Local Filtering: Improving the Performance of Approximate Queries on String Collections (XY, YW, BW, WW), pp. 377–392.
SIGMOD-2015-JiangFW #keyword #network #scalability: Exact Top-k Nearest Keyword Search in Large Networks (MJ, AWCF, RCWW), pp. 393–404.
SIGMOD-2015-GuoCC #algorithm #keyword #performance #query: Efficient Algorithms for Answering the m-Closest Keywords Query (TG, XC, GC), pp. 405–418.
SIGMOD-2015-HuangFL #graph: Minimum Spanning Trees in Temporal Graphs (SH, AWCF, RL), pp. 419–430.
SIGMOD-2015-BerlowitzCK #performance: Efficient Enumeration of Maximal k-Plexes (DB, SC, BK), pp. 431–444.
SIGMOD-2015-ZhangYQS #performance: Divide & Conquer: I/O Efficient Depth-First Search (ZZ, JXY, LQ, ZS), pp. 445–458.
SIGMOD-2015-ChangLQYZ #algorithm #component: Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity (LC, XL, LQ, JXY, WZ), pp. 459–474.
SIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #network #scalability: COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.
SIGMOD-2015-BeedkarG #mining #named #scalability #sequence: LASH: Large-Scale Sequence Mining with Hierarchies (KB, RG), pp. 491–503.
SIGMOD-2015-CochezM #approximate #clustering #distance #linear: Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time (MC, HM), pp. 505–517.
SIGMOD-2015-GanT #approximate: DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation (JG, YT), pp. 519–530.
SIGMOD-2015-NaziDD #overview #web: The TagAdvisor: Luring the Lurkers to Review Web Items (AN, MD, GD), pp. 531–543.
SIGMOD-2015-PengD #array #database #nondeterminism: Supporting Data Uncertainty in Array Databases (LP, YD), pp. 545–560.
SIGMOD-2015-RazniewskiKNS #database #identification #query: Identifying the Extent of Completeness of Query Answers over Partially Complete Databases (SR, FK, WN, DS), pp. 561–576.
SIGMOD-2015-PengW #probability #query: k-Hit Query: Top-k Query with Probabilistic Utility Function (PP, RCWW), pp. 577–592.
SIGMOD-2015-LiLHT #profiling: Linking Temporal Records for Profiling Entities (FL, MLL, WH, WCT), pp. 593–605.
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-ErlingALCGPPB #benchmark #interactive #metric #network #social: The LDBC Social Network Benchmark: Interactive Workload (OE, AA, JLLP, HC, AG, APP, MDP, PAB), pp. 619–630.
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-WangXLCH #grid #migration #smarttech: QMapper for Smart Grid: Migrating SQL-based Application to Hive (YW, YX, YL, JC, SH), pp. 647–658.
SIGMOD-2015-Widom: Three Favorite Results (JW), p. 659.
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-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-2015-0001MK #concurrent #database #in memory #multi #performance: Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems (TN, TM, AK), pp. 677–689.
SIGMOD-2015-Kimura #named: FOEDUS: OLTP Engine for a Thousand Cores and NVRAM (HK), pp. 691–706.
SIGMOD-2015-ArulrajPD #database #memory management: Let’s Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems (JA, AP, SD), pp. 707–722.
SIGMOD-2015-ZhangCPSX #graph #statistics #using: Private Release of Graph Statistics using Ladder Functions (JZ, GC, CMP, DS, XX), pp. 731–745.
SIGMOD-2015-YangSN #correlation #difference #privacy: Bayesian Differential Privacy on Correlated Data (BY, IS, HN), pp. 747–762.
SIGMOD-2015-MavroforakisCOK #composition #encryption #revisited: Modular Order-Preserving Encryption, Revisited (CM, NC, AO, GK, RC), pp. 763–777.
SIGMOD-2015-AllardHMP #clustering #named #privacy: Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering (TA, GH, FM, EP), pp. 779–794.
SIGMOD-2015-WeiLYDW #persistent #sketching: Persistent Data Sketching (ZW, GL, KY, XD, JRW), pp. 795–810.
SIGMOD-2015-LinOWY #distributed #scalability: Scalable Distributed Stream Join Processing (QL, BCO, ZW, CY), pp. 811–825.
SIGMOD-2015-SongZWY #constraints #named: SCREEN: Stream Data Cleaning under Speed Constraints (SS, AZ, JW, PSY), pp. 827–841.
SIGMOD-2015-GuoZLTB #query: Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams (LG, DZ, GL, KLT, ZB), pp. 843–857.
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-DietrichG #database #debugging #sql: A SQL Debugger Built from Spare Parts: Turning a SQL: 1999 Database System into Its Own Debugger (BD, TG), pp. 865–870.
SIGMOD-2015-BaoZJL #interactive #keyword: Exploratory Keyword Search with Interactive Input (ZB, YZ, HVJ, TWL), pp. 871–876.
SIGMOD-2015-ScheibliDB #3d #distributed #interactive #named #query #visualisation: QE3D: Interactive Visualization and Exploration of Complex, Distributed Query Plans (DS, CD, AB), pp. 877–881.
SIGMOD-2015-MorcosAIOPS #data transformation #interactive #named: DataXFormer: An Interactive Data Transformation Tool (JM, ZA, IFI, MO, PP, MS), pp. 883–888.
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-MytilinisGKDTTG #distributed #framework #named #network #platform #social: MoDisSENSE: A Distributed Spatio-Temporal and Textual Processing Platform for Social Networking Services (IM, IG, IK, KD, DT, MT, LG, NK), pp. 895–900.
SIGMOD-2015-HuLWTGY #automation #documentation #named #social #social media #using: DocRicher: An Automatic Annotation System for Text Documents Using Social Media (QH, QL, XW, AKHT, SG, JY), pp. 901–906.
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.
SIGMOD-2015-SakuraiMF #mining: Mining and Forecasting of Big Time-series Data (YS, YM, CF), pp. 919–922.
SIGMOD-2015-WangZZLC #effectiveness #nearest neighbour: Optimal Spatial Dominance: An Effective Search of Nearest Neighbor Candidates (XW, YZ, WZ, XL, MAC), pp. 923–938.
SIGMOD-2015-TauheedHA #named #scalability: THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads (FT, TH, AA), pp. 939–950.
SIGMOD-2015-ChenGLJCZ #metric #nondeterminism #query: Indexing Metric Uncertain Data for Range Queries (LC, YG, XL, CSJ, GC, BZ), pp. 951–965.
SIGMOD-2015-WangLYXZ #approach #network #performance: Efficient Route Planning on Public Transportation Networks: A Labelling Approach (SW, WL, YY, XX, SZ), pp. 967–982.
SIGMOD-2015-Anagnostopoulos #crowdsourcing #performance: The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing (AA, LB, AF, IM, MR), pp. 983–998.
SIGMOD-2015-HungTWA #validation: Minimizing Efforts in Validating Crowd Answers (NQVH, DCT, MW, KA), pp. 999–1014.
SIGMOD-2015-FanLOTF #adaptation #crowdsourcing #framework #named: iCrowd: An Adaptive Crowdsourcing Framework (JF, GL, BCO, KLT, JF), pp. 1015–1030.
SIGMOD-2015-ZhengWLCF #crowdsourcing #named: QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications (YZ, JW, GL, RC, JF), pp. 1031–1046.
SIGMOD-2015-VerroiosLG #crowdsourcing #named: tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations (VV, PL, HGM), pp. 1047–1062.
SIGMOD-2015-WongHFXL #approach #as a service #database #named #parallel #using: Thrifty: Offering Parallel Database as a Service using the Shared-Process Approach (PW, ZH, ZF, WX, EL), pp. 1063–1068.
SIGMOD-2015-AkenDPCC #named: BenchPress: Dynamic Workload Control in the OLTP-Bench Testbed (DVA, DED, AP, CC, PCM), pp. 1069–1073.
SIGMOD-2015-MeglerM: Demonstrating “Data Near Here”: Scientific Data Search (VMM, DM), pp. 1075–1080.
SIGMOD-2015-ChevalierSGL #incremental #named #performance: Slider: An Efficient Incremental Reasoner (JC, JS, CG, FL), pp. 1081–1086.
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-WuTNX0 #named: FTT: A System for Finding and Tracking Tourists in Public Transport Services (HW, JAT, WSN, MX, WC), pp. 1093–1098.
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-PerezSBPRSL #graph #interactive #named: Ringo: Interactive Graph Analytics on Big-Memory Machines (YP, RS, AB, RP, MR, PS, JL), pp. 1105–1110.
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-Camacho-Rodriguez #named #parallel #xml: PAXQuery: Parallel Analytical XML Processing (JCR, DC, IM, JAMN), pp. 1117–1122.
SIGMOD-2015-0002SLLF #sorting: Cache-Efficient Aggregation: Hashing Is Sorting (IM, PS, AL, WL, FF), pp. 1123–1136.
SIGMOD-2015-LiHDL #multi #performance #similarity: Efficient Similarity Join and Search on Multi-Attribute Data (GL, JH, DD, JL), pp. 1137–1151.
SIGMOD-2015-PetrakiIM #in memory: Holistic Indexing in Main-memory Column-stores (EP, SI, SM), pp. 1153–1166.
SIGMOD-2015-MozafariGY #database #design #framework #named #robust: CliffGuard: A Principled Framework for Finding Robust Database Designs (BM, EZYG, DYY), pp. 1167–1182.
SIGMOD-2015-JoglekarGPR #correlation #evaluation: Exploiting Correlations for Expensive Predicate Evaluation (MJ, HGM, AGP, CR), pp. 1183–1198.
SIGMOD-2015-BergmanMNT #query: Query-Oriented Data Cleaning with Oracles (MB, TM, SN, WCT), pp. 1199–1214.
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-WangDM #fault: Data X-Ray: A Diagnostic Tool for Data Errors (XW, XLD, AM), pp. 1231–1245.
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-WangXL #adaptation #approach: Crowd-Based Deduplication: An Adaptive Approach (SW, XX, CHL), pp. 1263–1277.
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-BernsteinDDP #concurrent #database #optimisation: Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases (PAB, SD, BD, MP), pp. 1295–1309.
SIGMOD-2015-0002KBDHKFG #coordination #program analysis #protocol #transaction: The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis (SR, LK, GB, BD, HH, CK, NF, JG), pp. 1311–1326.
SIGMOD-2015-BailisFFGHS #concurrent #empirical: Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity (PB, AF, MJF, AG, JMH, IS), pp. 1327–1342.
SIGMOD-2015-WeimerCCCCDLMMM #execution #framework #named: REEF: Retainable Evaluator Execution Framework (MW, YC, BGC, TC, CC, CD, YL, TM, DM, SM, BM, SN, RR, SR, RS, BS, JW), pp. 1343–1355.
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-ArefCGKOPVW #design #implementation: Design and Implementation of the LogicBlox System (MA, BtC, TJG, BK, DO, EP, TLV, GW), pp. 1371–1382.
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-SalihogluSKTW #debugging #named: Graft: A Debugging Tool For Apache Giraph (SS, JS, VK, BQT, JW), pp. 1403–1408.
SIGMOD-2015-XiaoBME #metadata #summary #using: Even Metadata is Getting Big: Annotation Summarization using InsightNotes (DX, AB, TM, MYE), pp. 1409–1414.
SIGMOD-2015-GruenheidKRS #evolution #named: StoryPivot: Comparing and Contrasting Story Evolution (AG, DK, TR, DS), pp. 1415–1420.
SIGMOD-2015-UlrichG #compilation #query: The Flatter, the Better: Query Compilation Based on the Flattening Transformation (AU, TG), pp. 1421–1426.
SIGMOD-2015-JerglerSJ #distributed #framework #named #workflow: D2WORM: A Management Infrastructure for Distributed Data-centric Workflows (MJ, MS, HAJ), pp. 1427–1432.
SIGMOD-2015-AmsterdamerKM #interface #mining #named #natural language: NL2CM: A Natural Language Interface to Crowd Mining (YA, AK, TM), pp. 1433–1438.
SIGMOD-2015-DudoladovXSKETM: Optimistic Recovery for Iterative Dataflows in Action (SD, CX, SS, AK, SE, KT, VM), pp. 1439–1443.
SIGMOD-2015-LallaliAPP: A Secure Search Engine for the Personal Cloud (SL, NA, ISP, PP), pp. 1445–1450.
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-RablDFSJ #big data: Just can’t get enough: Synthesizing Big Data (TR, MD, MF, SS, HAJ), pp. 1457–1462.
SIGMOD-2015-BarthelsLAK #in memory #using: Rack-Scale In-Memory Join Processing using RDMA (CB, SL, GA, DK), pp. 1463–1475.
SIGMOD-2015-HeimelKM #estimation #kernel #modelling #multi #self: Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation (MH, MK, VM), pp. 1477–1492.
SIGMOD-2015-PolychroniouRR #database #in memory: Rethinking SIMD Vectorization for In-Memory Databases (OP, AR, KAR), pp. 1493–1508.
SIGMOD-2015-LiCP #encoding: A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew (YL, CC, JMP), pp. 1509–1524.
SIGMOD-2015-LiBCGM #named #network #towards: GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks (HL, SSB, JC, YG, JM), pp. 1525–1537.
SIGMOD-2015-TangSX #approach: Influence Maximization in Near-Linear Time: A Martingale Approach (YT, YS, XX), pp. 1539–1554.
SIGMOD-2015-HuYCX #community: Community Level Diffusion Extraction (ZH, JY, BC, EPX), pp. 1555–1569.
SIGMOD-2015-ShinJSK #approach #graph #named #random #scalability: BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs (KS, JJ, LS, UK), pp. 1571–1585.
SIGMOD-2015-RuchanskyBGGK #problem: The Minimum Wiener Connector Problem (NR, FB, DGS, FG, NK), pp. 1587–1602.
SIGMOD-2015-RoyLL #recommendation: From Group Recommendations to Group Formation (SBR, LVSL, RL), pp. 1603–1616.
SIGMOD-2015-ArmenatzoglouPN #approach #clustering #game studies #graph #multi #realtime #social: Real-Time Multi-Criteria Social Graph Partitioning: A Game Theoretic Approach (NA, HP, VN, DP, CS), pp. 1617–1628.
SIGMOD-2015-SheT0 #social: Utility-Aware Social Event-Participant Planning (JS, YT, LC), pp. 1629–1643.
SIGMOD-2015-ZhouCZCHW #community #online #recommendation #video: Online Video Recommendation in Sharing Community (XZ, LC, YZ, LC, GH, CW), pp. 1645–1656.
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-TranMP: Oracle Workload Intelligence (QTT, KM, NP), pp. 1669–1681.
SIGMOD-2015-ColgroveDHMSSTV #component #enterprise #named #performance: Purity: Building Fast, Highly-Available Enterprise Flash Storage from Commodity Components (JC, JDD, JH, ELM, CS, RS, AT, NV, FW), pp. 1683–1694.
SIGMOD-2015-TerleckiXSKW #on the: On Improving User Response Times in Tableau (PT, FX, MS, VK, RMGW), pp. 1695–1706.
SIGMOD-2015-Viglas #data transformation #memory management: Data Management in Non-Volatile Memory (SDV), pp. 1707–1711.
SIGMOD-2015-ChuHCG #named: TEGRA: Table Extraction by Global Record Alignment (XC, YH, KC, KG), pp. 1713–1728.
SIGMOD-2015-LiuSWRH #corpus #mining #quality: Mining Quality Phrases from Massive Text Corpora (JL, JS, CW, XR, JH), pp. 1729–1744.
SIGMOD-2015-TrummerHLSG #mining #web: Mining Subjective Properties on the Web (IT, AYH, HL, SS, RG), pp. 1745–1760.
SIGMOD-2015-HuaZZ #microblog #social: Microblog Entity Linking with Social Temporal Context (WH, KZ, XZ), pp. 1761–1775.
SIGMOD-2015-PapailiouTKK #adaptation #query: Graph-Aware, Workload-Adaptive SPARQL Query Caching (NP, DT, PK, NK), pp. 1777–1792.
SIGMOD-2015-Atre #query: Left Bit Right: For SPARQL Join Queries with OPTIONAL Patterns (Left-outer-joins) (MA), pp. 1793–1808.
SIGMOD-2015-ZhengZLYSZ #approach #graph #how #nondeterminism #rdf #similarity: How to Build Templates for RDF Question/Answering: An Uncertain Graph Similarity Join Approach (WZ, LZ, XL, JXY, SS, DZ), pp. 1809–1824.
SIGMOD-2015-QiaoO #benchmark #metric #named #rdf: RBench: Application-Specific RDF Benchmarking (SQ, ZMÖ), pp. 1825–1838.
SIGMOD-2015-El-RobyA #automation #linked data #named #open data: ALEX: Automatic Link Exploration in Linked Data (AER, AA), pp. 1839–1853.
SIGMOD-2015-PaparrizosG #clustering #named #performance: k-Shape: Efficient and Accurate Clustering of Time Series (JP, LG), pp. 1855–1870.
SIGMOD-2015-ZhouT #named #predict: SMiLer: A Semi-Lazy Time Series Prediction System for Sensors (JZ, AKHT), pp. 1871–1886.
SIGMOD-2015-SunFSKHX #graph #named #performance: SQLGraph: An Efficient Relational-Based Property Graph Store (WS, AF, KS, AK, GH, GTX), pp. 1887–1901.
SIGMOD-2015-YuanMYG #algorithm #graph: Updating Graph Indices with a One-Pass Algorithm (DY, PM, HY, CLG), pp. 1903–1916.
SIGMOD-2015-GuptaATKPSS: Amazon Redshift and the Case for Simpler Data Warehouses (AG, DA, DT, JK, RP, SS, VS), pp. 1917–1923.
SIGMOD-2015-DeshpandeRDA #approach #named: ShareInsights: An Unified Approach to Full-stack Data Processing (MD, DR, SD, AA), pp. 1925–1940.
SIGMOD-2015-TrummerK #algorithm #incremental #multi #optimisation #query: An Incremental Anytime Algorithm for Multi-Objective Query Optimization (IT, CK), pp. 1941–1953.
SIGMOD-2015-MeneghettiMCC #evaluation #query: Output-sensitive Evaluation of Prioritized Skyline Queries (NM, DM, PC, JC), pp. 1955–1967.
SIGMOD-2015-KumarNP #learning #linear #modelling #normalisation: Learning Generalized Linear Models Over Normalized Data (AK, JFN, JMP), pp. 1969–1984.
SIGMOD-2015-KatsisOPZ #incremental #maintenance: Utilizing IDs to Accelerate Incremental View Maintenance (YK, KWO, YP, KKZ), pp. 1985–2000.
SIGMOD-2015-PsallidasDCC #named #query: S4: Top-k Spreadsheet-Style Search for Query Discovery (FP, BD, KC, SC), pp. 2001–2016.
SIGMOD-2015-IbrahimDE #database #relational: Proactive Annotation Management in Relational Databases (KI, XD, MYE), pp. 2017–2030.
SIGMOD-2015-KouUMG: Weighted Coverage based Reviewer Assignment (NMK, LHU, NM, ZG), pp. 2031–2046.
SIGMOD-2015-TangLT #distributed #online: Distributed Online Tracking (MT, FL, YT), pp. 2047–2061.
SIGMOD-2015-DongS #challenge #modelling: Knowledge Curation and Knowledge Fusion: Challenges, Models and Applications (XLD, DS), pp. 2063–2066.
SIGMOD-2015-YangM #migration: Smooth Task Migration in Apache Storm (MY, RTBM), pp. 2067–2068.
SIGMOD-2015-BabarinsaI #database #named: JAFAR: Near-Data Processing for Databases (OOB, SI), pp. 2069–2070.
SIGMOD-2015-ClinkenbeardN #communication #scheduling: Job Scheduling with Minimizing Data Communication Costs (TC, AN), pp. 2071–2072.
SIGMOD-2015-PantelaI: One Loop Does Not Fit All (SP, SI), pp. 2073–2074.
SIGMOD-2015-PerelmanR #compilation #named #query #worst-case: DunceCap: Compiling Worst-Case Optimal Query Plans (AP, CR), pp. 2075–2076.
SIGMOD-2015-TuR #named #query #using: DunceCap: Query Plans Using Generalized Hypertree Decompositions (ST, CR), pp. 2077–2078.

Timos Sellis, Susan B. Davidson, Zachary G. IvesProceedings of the 33rd ACM SIGMOD International Conference on Management of DataSIGMOD, 2015.

Contents (168 items)

Timos Sellis, Susan B. Davidson, Zachary G. Ives
Proceedings of the 33rd ACM SIGMOD International Conference on Management of Data
SIGMOD, 2015.