BibSLEIGH — Proceedings of the 42nd International Conference on Very Large Data Bases

Proceedings of the 42nd International Conference on Very Large Data Bases
VLDB-2016, 2016.

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@proceedings{VLDB-2016,
	journal       = "{Proceedings of the VLDB Endowment}",
	title         = "{Proceedings of the 42nd International Conference on Very Large Data Bases}",
	volume        = 9,
	year          = 2016,
}

Contents (176 items)

VLDB-2016-HuangFZFN15: Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search (QH, JF, YZ0, QF, WN), pp. 1–12.
VLDB-2016-KhaouidBST15: K-Core Decomposition of Large Networks on a Single PC (WK, MB, SV0, AT), pp. 13–23.
VLDB-2016-LiFLCCL15: Walking in the Cloud: Parallel SimRank at Scale (ZL, YF, QL, JC, RC, JCSL), pp. 24–35.
VLDB-2016-ArocenaGMMPS15: Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms (PCA, BG, GM, RJM, PP, DS), pp. 36–47.
VLDB-2016-HayashiAY15: Fully Dynamic Betweenness Centrality Maintenance on Massive Networks (TH0, TA, YY), pp. 48–59.
VLDB-2016-LuCL15: From Competition to Complementarity: Comparative Influence Diffusion and Maximization (WL0, WC0, LVSL), pp. 60–71.
VLDB-2016-KloudasRPM15: PIXIDA: Optimizing Data Parallel Jobs in Wide-Area Data Analytics (KK, RR, NMP, MM), pp. 72–83.
VLDB-2016-WangCLY15: Spatial Online Sampling and Aggregation (LW, RC, FL0, KY0), pp. 84–95.
VLDB-2016-RichterAD15: A Seven-Dimensional Analysis of Hashing Methods and its Implications on Query Processing (SR0, VA0, JD), pp. 96–107.
VLDB-2016-ArocenaGCM15: The iBench Integration Metadata Generator (PCA, BG, RC, RJM), pp. 108–119.
VLDB-2016-AltwaijryMK15: QuERy: A Framework for Integrating Entity Resolution with Query Processing (HA, SM, DVK), pp. 120–131.
VLDB-2016-LeePLHEH15: Processing and Optimizing Main Memory Spatial-Keyword Queries (TL, JWP, SL, SwH, SE, YH), pp. 132–143.
VLDB-2016-ParkCM15: Neighbor-Sensitive Hashing (YP, MJC, BM), pp. 144–155.
VLDB-2016-HuangJBM015: Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances (BH, NWDJ, SB, SM0, JY0), pp. 156–167.
VLDB-2016-KaulWJ15: New Lower and Upper Bounds for Shortest Distance Queries on Terrains (MK, RCWW, CSJ), pp. 168–179.
VLDB-2016-FreireGIM15: The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries (CF, WG, NI, AM), pp. 180–191.
VLDB-2016-HuangK15: Streaming Anomaly Detection Using Randomized Matrix Sketching (HH, SPK), pp. 192–203.
VLDB-2016-LeisGMBK015: How Good Are Query Optimizers, Really? (VL, AG, AM, PAB, AK, TN0), pp. 204–215.
VLDB-2016-InterlandiSTGYK15: Titian: Data Provenance Support in Spark (MI, KS, SDT, MAG, SY, MK, TDM, TC), pp. 216–227.
VLDB-2016-RodigerMK015: High-Speed Query Processing over High-Speed Networks (WR, TM, AK, TN0), pp. 228–239.
VLDB-2016-ZongXLWQYSJ15: Behavior Query Discovery in System-Generated Temporal Graphs (BZ, XX, ZL, ZW, ZQ, XY, AKS, GJ), pp. 240–251.
VLDB-2016-KocberberFG15: Asynchronous Memory Access Chaining (YOK, BF, BG), pp. 252–263.
VLDB-2016-HaneyMD15: Design of Policy-Aware Differentially Private Algorithms (SH, AM, BD), pp. 264–275.
VLDB-2016-HuangLYC15: Approximate Closest Community Search in Networks (XH0, LVSL, JXY, HC), pp. 276–287.
VLDB-2016-AndreKS15: Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan (FA, AMK, NLS), pp. 288–299.
VLDB-2016-ProkoshynaSCMS15: Combining Quantitative and Logical Data Cleaning (NP, JS, FC, RJM, DS), pp. 300–311.
VLDB-2016-PapadakisAPK15: Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data (GP0, GA, GP, GK), pp. 312–323.
VLDB-2016-EpastoLMSTV15: Ego-net Community Mining Applied to Friend Suggestion (AE, SL, VSM, IS, AT, SV), pp. 324–335.
VLDB-2016-AbedjanAOPS15: Temporal Rules Discovery for Web Data Cleaning (ZA, CGA, MO, PP, MS), pp. 336–347.
VLDB-2016-RoyOS15: Explaining Query Answers with Explanation-Ready Databases (SR, LJO, DS), pp. 348–359.
VLDB-2016-DengLWF15: An Efficient Partition Based Method for Exact Set Similarity Joins (DD, GL0, HW, JF), pp. 360–371.
VLDB-2016-HaasW0F15: CLAMShell: Speeding up Crowds for Low-latency Data Labeling (DH, JW, EW0, MJF), pp. 372–383.
VLDB-2016-FirmaniSS: Online Entity Resolution Using an Oracle (DF, BS, DS), pp. 384–395.
VLDB-2016-CalauttiGMT: Exploiting Equality Generating Dependencies in Checking Chase Termination (MC, SG, CM, IT), pp. 396–407.
VLDB-2016-YangLSZFLXL: A Shifting Bloom Filter Framework for Set Queries (TY0, AXL, MS, YZ, QF, ZL, GX, XL), pp. 408–419.
VLDB-2016-YangLC: Husky: Towards a More Efficient and Expressive Distributed Computing Framework (FY, JL, JC), pp. 420–431.
VLDB-2016-LiWSLG: Repairing Data through Regular Expressions (ZL, HW, WS, JL, HG), pp. 432–443.
VLDB-2016-YanC: Leveraging Lock Contention to Improve OLTP Application Performance (CY, AC), pp. 444–455.
VLDB-2016-ChoudhuryCSC: Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries (FMC, JSC, TKS, XC0), pp. 456–467.
VLDB-2016-SubercazeGCL: Inferray: fast in-memory RDF inference (JS, CG, JC, FL), pp. 468–479.
VLDB-2016-MakreshanskiGAK: MQJoin: Efficient Shared Execution of Main-Memory Joins (DM, GG, GA, DK), pp. 480–491.
VLDB-2016-AbeywickramaCT: k-Nearest Neighbors on Road Networks: A Journey in Experimentation and In-Memory Implementation (TA, MAC, DT), pp. 492–503.
VLDB-2016-YuanWLDXBZ: BCC: Reducing False Aborts in Optimistic Concurrency Control with Low Cost for In-Memory Databases (YY, KW, RL, XD, JX, SB, XZ0), pp. 504–515.
VLDB-2016-YuanQLCZ: I/O Efficient ECC Graph Decomposition via Graph Reduction (LY, LQ, XL0, LC, WZ0), pp. 516–527.
VLDB-2016-BinnigCGKZ: The End of Slow Networks: It's Time for a Redesign (CB, AC, AG, TK, EZ), pp. 528–539.
VLDB-2016-HuangA: LEOPARD: Lightweight Edge-Oriented Partitioning and Replication for Dynamic Graphs (JH, DA), pp. 540–551.
VLDB-2016-GribkoffS: SlimShot: In-Database Probabilistic Inference for Knowledge Bases (EG, DS), pp. 552–563.
VLDB-2016-YanCOYLLZN: A General-Purpose Query-Centric Framework for Querying Big Graphs (DY0, JC, MTÖ, FY, YL, JCSL, QZ, WN), pp. 564–575.
VLDB-2016-BrucatoBAM: Scalable Package Queries in Relational Database Systems (MB, JFB, AA, AM), pp. 576–587.
VLDB-2016-WangZZLH: SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window (XW0, YZ0, WZ0, XL0, ZH), pp. 588–599.
VLDB-2016-AsudehTZD: Discovering the Skyline of Web Databases (AA, ST, NZ0, GD0), pp. 600–611.
VLDB-2016-ZhangLF: Crowdsourced Top-k Algorithms: An Experimental Evaluation (XZ, GL0, JF), pp. 612–623.
VLDB-2016-MaddoxGEMPD: Decibel: The Relational Dataset Branching System (MM, DG, AJE, SM, AGP, AD), pp. 624–635.
VLDB-2016-MannAB: An Empirical Evaluation of Set Similarity Join Techniques (WM, NA, PB), pp. 636–647.
VLDB-2016-Trummer0: Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer (IT, CK0), pp. 648–659.
VLDB-2016-Trummer016a: Parallelizing Query Optimization on Shared-Nothing Architectures (IT, CK0), pp. 660–671.
VLDB-2016-KalavriSL: The shortest path is not always a straight line (VK, TS, DL), pp. 672–683.
VLDB-2016-PapadakisSGP: Comparative Analysis of Approximate Blocking Techniques for Entity Resolution (GP0, JS, AG, TP), pp. 684–695.
VLDB-2016-ZhaoLHWYSA: An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers (YZ, SL, SH, HW, SY, HS, TFA), pp. 696–707.
VLDB-2016-SongC0: Cleaning Timestamps with Temporal Constraints (SS, YC0, JW0), pp. 708–719.
VLDB-2016-TanB: Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases (ZT, SB), pp. 720–731.
VLDB-2016-DaenenNTV: Parallel Evaluation of Multi-Semi-Joins (JD, FN, TT, SV), pp. 732–743.
VLDB-2016-ChenLZC: WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation (JC0, KL, JZ0, WC), pp. 744–755.
VLDB-2016-EichFM: Faster Plan Generation through Consideration of Functional Dependencies and Keys (ME, PF, GM), pp. 756–767.
VLDB-2016-SchuhknechtDS: RUMA has it: Rewired User-space Memory Access is Possible! (FMS, JD, AS0), pp. 768–779.
VLDB-2016-MarcusP: WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases (RM, OP), pp. 780–791.
VLDB-2016-MoralesG: Streaming Similarity Self-Join (GDFM, AG), pp. 792–803.
VLDB-2016-SchatzlePSL: S2RDF: RDF Querying with SPARQL on Spark (AS, MPZ, SS, GL), pp. 804–815.
VLDB-2016-Singh: BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations (RS), pp. 816–827.
VLDB-2016-DengLWJF: META: An Efficient Matching-Based Method for Error-Tolerant Autocompletion (DD, GL0, HW, HVJ, JF), pp. 828–839.
VLDB-2016-ZhengZPYSZ: Semantic SPARQL Similarity Search Over RDF Knowledge Graphs (WZ, LZ0, WP, XY, SS, DZ0), pp. 840–851.
VLDB-2016-DubeyHES: Weaver: A High-Performance, Transactional Graph Database Based on Refinable Timestamps (AD, GDH, RE, EGS), pp. 852–863.
VLDB-2016-ChuIK: Distributed Data Deduplication (XC, IFI, PK), pp. 864–875.
VLDB-2016-ArenasMRV: A framework for annotating CSV-like data (MA, FM, CR, DV), pp. 876–887.
VLDB-2016-AsudehZD: Query Reranking As A Service (AA, NZ0, GD0), pp. 888–899.
VLDB-2016-MaSXCW: G-SQL: Fast Query Processing via Graph Exploration (HM, BS, YX, LJC, HW), pp. 900–911.
VLDB-2016-ZhangWCMZ: Measuring and Optimizing Distributed Array Programs (MZ, YW, KC, TM, WZ), pp. 912–923.
VLDB-2016-JoBYKCLJ: YourSQL: A High-Performance Database System Leveraging In-Storage Computing (IJ, DHB, ASY, JUK, SC, DDGL, JJ), pp. 924–935.
VLDB-2016-LuSZZJPHG: Lifetime-Based Memory Management for Distributed Data Processing Systems (LL0, XS, YZ, XZ, HJ0, CP, LH, YG), pp. 936–947.
VLDB-2016-KrishnanWWFG: ActiveClean: Interactive Data Cleaning For Statistical Modeling (SK, JW, EW0, MJF, KG), pp. 948–959.
VLDB-2016-ElgoharyBHRR: Compressed Linear Algebra for Large-Scale Machine Learning (AE, MB0, PJH, FRR, BR), pp. 960–971.
VLDB-2016-KarpathiotakisA: Fast Queries Over Heterogeneous Data Through Engine Customization (MK, IA, AA), pp. 972–983.
VLDB-2016-BhowmickCD: Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities (SSB, BC, CED), pp. 984–992.
VLDB-2016-AbedjanCDFIOPST: Detecting Data Errors: Where are we and what needs to be done? (ZA, XC, DD, RCF, IFI, MO, PP, MS, NT0), pp. 993–1004.
VLDB-2016-LiuXDE: Exploiting Soft and Hard Correlations in Big Data Query Optimization (HL, DX, PD, MYE), pp. 1005–1016.
VLDB-2016-KahngNSC: Interactive Browsing and Navigation in Relational Databases (MK, SBN, JTS, DH(C), pp. 1017–1028.
VLDB-2016-Borovica-GajicA: Cheap Data Analytics using Cold Storage Devices (RBG, RA, AA), pp. 1029–1040.
VLDB-2016-ShunRFM: Parallel Local Graph Clustering (JS, FRK, KF, MWM), pp. 1041–1052.
VLDB-2016-TongSDCWX: Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis (YT, JS, BD, LC0, TW, KX0), pp. 1053–1064.
VLDB-2016-BrunelMK: Index-Assisted Hierarchical Computations in Main-Memory RDBMS (RB, NM, AK), pp. 1065–1076.
VLDB-2016-OhsakaAYK: Dynamic Influence Analysis in Evolving Networks (NO, TA, YY, KiK), pp. 1077–1088.
VLDB-2016-TranFS: Distance-based Outlier Detection in Data Streams (LT, LF, CS), pp. 1089–1100.
VLDB-2016-MountantonakisT: On Measuring the Lattice of Commonalities Among Several Linked Datasets (MM, YT), pp. 1101–1112.
VLDB-2016-ChangXL: Oblivious RAM: A Dissection and Experimental Evaluation (ZC, DX0, FL0), pp. 1113–1124.
VLDB-2016-KastratiM: Optimization of Conjunctive Predicates for Main Memory Column Stores (FK, GM), pp. 1125–1136.
VLDB-2016-ChothiaLMR: Explaining Outputs in Modern Data Analytics (ZC, JL, FM, TR), pp. 1137–1148.
VLDB-2016-BunemanS: RDF Graph Alignment with Bisimulation (PB, SS), pp. 1149–1160.
VLDB-2016-BursztynGM: Teaching an RDBMS about ontological constraints (DB, FG, IM), pp. 1161–1172.
VLDB-2016-SimoniniBJ: BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution (GS, SB, HVJ), pp. 1173–1184.
VLDB-2016-ZhuNPM: LSH Ensemble: Internet-Scale Domain Search (EZ, FN, KQP, RJM), pp. 1185–1196.
VLDB-2016-KondaDCDABLPZNP: Magellan: Toward Building Entity Matching Management Systems (PK, SD, PSGC, AD, AA, JRB, HL, FP, HZ, JFN, SP, GK, RD, VR), pp. 1197–1208.
VLDB-2016-SahaFSMMO: ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores (DS, AF, KS, UFM, ARM, FÖ), pp. 1209–1220.
VLDB-2016-WesleyX: Incremental Computation of Common Windowed Holistic Aggregates (RW, FX), pp. 1221–1232.
VLDB-2016-FangCLH: Effective Community Search for Large Attributed Graphs (YF, RC, SL, JH), pp. 1233–1244.
VLDB-2016-LangRDXGKC: Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud (WL, KR0, DJD, SX, QG, AK, PC), pp. 1245–1256.
VLDB-2016-SevenichHRWBC: Using Domain-Specific Languages For Analytic Graph Databases (MS, SH, OvR, ZW, JB, HC), pp. 1257–1268.
VLDB-2016-LiuSGLE: Kodiak: Leveraging Materialized Views For Very Low-Latency Analytics Over High-Dimensional Web-Scale Data (SL, BS, SG, LL, KE), pp. 1269–1280.
VLDB-2016-SharmaJBLL: GraphJet: Real-Time Content Recommendations at Twitter (AS, JJ, PB, BL, JJL), pp. 1281–1292.
VLDB-2016-MaGHR: dmapply: A functional primitive to express distributed machine learning algorithms in R (EM, VG, MH, IR0), pp. 1293–1304.
VLDB-2016-PedreiraCB: Cubrick: Indexing Millions of Records per Second for Interactive Analytics (PP, CC, LCEDB), pp. 1305–1316.
VLDB-2016-IosupHNHPMCCSAT: LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms (AI, TH, WLN, SH, APP, TM, HC, MC, NS, MJA, IGT, YX, LN, PAB), pp. 1317–1328.
VLDB-2016-LustosaPBV: Database System Support of Simulation Data (HL, FP, PB, PV), pp. 1329–1340.
VLDB-2016-SilvaZDWDJSS: Consistent Regions: Guaranteed Tuple Processing in IBM Streams (GJdS, FZ, DD, KLW, VD, EJ, MS, AES), pp. 1341–1352.
VLDB-2016-Al-KatebSAB: Hybrid Row-Column Partitioning in Teradata (MAK, PS, GA, CB), pp. 1353–1364.
VLDB-2016-FernandesZGEM: TrafficDB: HERE's High Performance Shared-Memory Data Store (RF, PZ, BG, CE, AM), pp. 1365–1376.
VLDB-2016-ScottiHPHSKZLAZ: Comdb2: Bloomberg's Highly Available Relational Database System (AS, MH, MP, DH, AS, MK, AZ, JL, FA, RZ, LD), pp. 1377–1388.
VLDB-2016-SrinivasanBCSGI: Aerospike: Architecture of a Real-Time Operational DBMS (VS, BB, WLC, SS, AG, RI, AS, TL), pp. 1389–1400.
VLDB-2016-ChenJWSJA: The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database (JC, SJ, RW, RS, NJ, MA), pp. 1401–1412.
VLDB-2016-LakshmanMLM: Nitro: A Fast, Scalable In-Memory Storage Engine for NoSQL Global Secondary Index (SL, SM, JL, RM), pp. 1413–1424.
VLDB-2016-BoehmDEEMPRRSST: SystemML: Declarative Machine Learning on Spark (MB0, MD, DE, AVE, FMM, NP, BR, FR, PS, AS, ST), pp. 1425–1436.
VLDB-2016-MishraCHLLCLSKC: Accelerating Analytics with Dynamic In-Memory Expressions (AM, SC, AH, TL, ZHL, SC, DL, VS, RK, MC, JK, NM, VM), pp. 1437–1448.
VLDB-2016-BhadangeAB: GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs (SB, AA0, AB0), pp. 1449–1452.
VLDB-2016-LiLCCCS: Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings (HL0, HL0, XC, GC0, KC0, LS), pp. 1453–1456.
VLDB-2016-BaganBCFLA: Generating Flexible Workloads for Graph Databases (GB, AB, RC, GHLF, AL, NA), pp. 1457–1460.
VLDB-2016-ZhouCW: ArchimedesOne: Query Processing over Probabilistic Knowledge Bases (XZ, YC0, DZW), pp. 1461–1464.
VLDB-2016-MiloNT: Rudolf: Interactive Rule Refinement System for Fraud Detection (TM, SN, WCT), pp. 1465–1468.
VLDB-2016-MaccioniC: Graph databases in the browser: using LevelGraph to explore New Delhi (AM, MC), pp. 1469–1472.
VLDB-2016-SellamK: Ziggy: Characterizing Query Results for Data Explorers (TS, MLK), pp. 1473–1476.
VLDB-2016-SellamCKK: Blaeu: Mapping and Navigating Large Tables with Cluster Analysis (TS, RC, RK, MLK), pp. 1477–1480.
VLDB-2016-El-RobyAAL: Sapphire: Querying RDF Data Made Simple (AER, KA, AA, JL), pp. 1481–1484.
VLDB-2016-AmsterdamerMSY: December: A Declarative Tool for Crowd Member Selection (YA, TM, AS, BY), pp. 1485–1488.
VLDB-2016-HeRM: A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories (XH0, NR, AM), pp. 1489–1492.
VLDB-2016-ScheuerMBS: JexLog: A Sonar for the Abyss (TS, NM, AB0, DS), pp. 1493–1496.
VLDB-2016-IkedaMRRTAD: Collaborative Crowdsourcing with Crowd4U (KI, AM, HR, SBR, ST, SAY, GD0), pp. 1497–1500.
VLDB-2016-ChenXJL: YASK: A Why-Not Question Answering Engine for Spatial Keyword Query Services (LC0, JX, CSJ, YL), pp. 1501–1504.
VLDB-2016-YiCBX: AutoG: A Visual Query Autocompletion Framework for Graph Databases (PY, BC, SSB, JX), pp. 1505–1508.
VLDB-2016-MiaoGCCGP: SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information (XM, YG, GC0, HC, CG, WP), pp. 1509–1512.
VLDB-2016-BonaqueCCGLMMRT: Mixed-instance querying: a lightweight integration architecture for data journalism (RB, TDC, BC, FG, JL, IM, OM, SR, XT, MT), pp. 1513–1516.
VLDB-2016-ButtersteinG: Precision Performance Surgery for PostgreSQL: LLVM-based Expression Compilation, Just in Time (DB, TG), pp. 1517–1520.
VLDB-2016-YahyaBRW: Exploratory Querying of Extended Knowledge Graphs (MY, KB, MR, GW), pp. 1521–1524.
VLDB-2016-PanevMMP: Exploring Databases via Reverse Engineering Ranking Queries with PALEO (KP, SM0, EM, KP), pp. 1525–1528.
VLDB-2016-BespinyowongCJM: ExRank: An Exploratory Ranking Interface (RB, WC, HVJ, YM), pp. 1529–1532.
VLDB-2016-DiazAB: SPARQLByE: Querying RDF data by example (GID, MA, MB), pp. 1533–1536.
VLDB-2016-DeutchFG: NLProv: Natural Language Provenance (DD, NF, AG), pp. 1537–1540.
VLDB-2016-ChandraJRAS: Partial Marking for Automated Grading of SQL Queries (BC, MJ, BR, SA, SS0), pp. 1541–1544.
VLDB-2016-ZhaoLYCCC: Towards Personalized Maps: Mining User Preferences from Geo-textual Data (KZ0, YL, QY0, LC, ZC, GC), pp. 1545–1548.
VLDB-2016-FengZLC: A System for Region Search and Exploration (KF, KZ0, YL, GC), pp. 1549–1552.
VLDB-2016-VitorovicEGMEDK: Squall: Scalable Real-time Analytics (AV, ME, KG, KVM, DE, MD, YK, CK0), pp. 1553–1556.
VLDB-2016-KhuranaPT: Graph-based Exploration of Non-graph Datasets (UK, SP0, DST), pp. 1557–1560.
VLDB-2016-LiuW: Rogas: A Declarative Framework for Network Analytics (ML, QW), pp. 1561–1564.
VLDB-2016-TangYMOA: LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data (MT, YY, QMM, MO, WGA), pp. 1565–1568.
VLDB-2016-ShanbhagJLM: Amoeba: A Shape changing Storage System for Big Data (AS, AJ, YL, SM), pp. 1569–1572.
VLDB-2016-OlteanuS: F: Regression Models over Factorized Views (DO, MS), pp. 1573–1576.
VLDB-2016-RodriguezGW: SigmaKB: Multiple Probabilistic Knowledge Base Fusion (MER, SG, DZW), pp. 1577–1580.
VLDB-2016-KondaDCDABLPZNP16a: Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks (PK, SD, PSGC, AD, AA, JRB, HL, FP, HZ, JFN, SP, GK, RD, VR), pp. 1581–1584.
VLDB-2016-AlkowaileetACWB: Large-scale Complex Analytics on Semi-structured Datasets using AsterixDB and Spark (WYA, SA, MJC0, TW, YB), pp. 1585–1588.
VLDB-2016-PicadoATF: Schema Independent and Scalable Relational Learning By Castor (JP, PA, AT, AF), pp. 1589–1592.
VLDB-2016-KannapalliNDD: AD-WIRE: Add-on for Web Item Reviewing System (RK, AN, MD, GD0), pp. 1593–1596.
VLDB-2016-ChaojiRR: Machine Learning in the Real World (VC, RR, GR), pp. 1597–1600.
VLDB-2016-BohmDMPS: Operational Analytics Data Management Systems (AB0, JD, NM, IP, RS), pp. 1601–1604.
VLDB-2016-ChuI: Qualitative Data Cleaning (XC, IFI), pp. 1605–1608.
VLDB-2016-LarsonL: Modern Main-Memory Database Systems (PÅL, JJL), pp. 1609–1610.
VLDB-2016-Machanavajjhala: Differential Privacy in the Wild: A tutorial on current practices & open challenges (AM, XH0, MH), pp. 1611–1614.
VLDB-2016-Amer-YahiaR: Human Factors in Crowdsourcing (SAY, SBR), pp. 1615–1618.
VLDB-2016-Stoica: Trends and Challenges in Big Data Processing (IS), p. 1619.
VLDB-2016-Rajaraman: Data-Driven Disruption: The View from Silicon Valley (AR), p. 1620.
VLDB-2016-Dong: Leave No Valuable Data Behind: The Crazy Ideas and the Business (XLD), p. 1621.
VLDB-2016-MokbelCA: Location Data Management: A Tale of Two Systems and the “Next Destination”! (MFM, CYC, WGA), p. 1622.
VLDB-2016-ChandramouliFGE: Quill: Efficient, Transferable, and Rich Analytics at Scale (BC, RCF, JG, AE, AQ), pp. 1623–1634.
VLDB-2016-WalenzY: Perturbation Analysis of Database Queries (BW, JY0), pp. 1635–1646.
VLDB-2016-LiTLPS: HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics (JL0, HWT0, CL, YP, SS), pp. 1647–1658.
VLDB-2016-ZeuchPF: Non-Invasive Progressive Optimization for In-Memory Databases (SZ, HP, JCF), pp. 1659–1670.
VLDB-2016-ZhangT: Dscaler: Synthetically Scaling A Given Relational Database (JWZ, YCT), pp. 1671–1682.
VLDB-2016-WangMO: Fast and Adaptive Indexing of Multi-Dimensional Observational Data (SW, DM0, BCO), pp. 1683–1694.
VLDB-2016-UpadhyayaBS: Price-Optimal Querying with Data APIs (PU, MB, DS), pp. 1695–1706.
VLDB-2016-PirkMZM: Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware (HP, OM, MZ, SM), pp. 1707–1718.

Proceedings of the 42nd International Conference on Very Large Data BasesVLDB-2016, 2016.

Contents (176 items)

Proceedings of the 42nd International Conference on Very Large Data Bases
VLDB-2016, 2016.