Proceedings of the 41st International Conference on Very Large Data Bases
VLDB-2015, 2015.
@proceedings{VLDB-2015,
journal = "{Proceedings of the VLDB Endowment}",
title = "{Proceedings of the 41st International Conference on Very Large Data Bases}",
volume = 8,
year = 2015,
}
Contents (231 items)
- VLDB-2015-SunWQZL14 #approximate #named #nearest neighbour #query
- SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index (YS, WW, JQ, YZ, XL), pp. 1–12.
- VLDB-2015-DallachiesaPI14 #nearest neighbour #nondeterminism
- Top-k Nearest Neighbor Search In Uncertain Data Series (MD, TP, IFI), pp. 13–24.
- VLDB-2015-LiNN14 #database #parallel
- Resource Bricolage for Parallel Database Systems (JL, JFN, RVN), pp. 25–36.
- 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-LongWJ14 #fault
- Trajectory Simplification: On Minimizing the Direction-based Error (CL, RCWW, HVJ), pp. 49–60.
- VLDB-2015-GebalyAGKS14
- Interpretable and Informative Explanations of Outcomes (KEG, PA, LG, FK, DS), pp. 61–72.
- VLDB-2015-LiJ14 #database #interactive #interface #natural language #relational
- Constructing an Interactive Natural Language Interface for Relational Databases (FL, HVJ), pp. 73–84.
- VLDB-2015-ZhuYQ14 #graph #online
- Leveraging Graph Dimensions in Online Graph Search (YZ, JXY, LQ), pp. 85–96.
- VLDB-2015-SidlauskasJ14 #exclamation #implementation #in memory #matter #memory management
- Spatial Joins in Main Memory: Implementation Matters! (DS, CSJ), pp. 97–100.
- 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.
- VLDB-2015-Li0QYZ014 #query #set #using
- Processing Moving kNN Queries Using Influential Neighbor Sets (CL, YG, JQ, GY, RZ, WY), pp. 113–124.
- VLDB-2015-MozafariSFJM14 #dataset #learning #scalability
- Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (BM, PS, MJF, MIJ, SM), pp. 125–136.
- VLDB-2015-YangZTCM14 #distributed #named #navigation
- CANDS: Continuous Optimal Navigation via Distributed Stream Processing (DY, DZ, KLT, JC, FLM), pp. 137–148.
- VLDB-2015-BegumK14 #bound
- Rare Time Series Motif Discovery from Unbounded Streams (NB, EJK), pp. 149–160.
- VLDB-2015-BuBJCC14 #data flow #graph #named
- Pregelix: Big(ger) Graph Analytics on a Dataflow Engine (YB, VRB, JJ, MJC, TC), pp. 161–172.
- VLDB-2015-SridharanP14 #profiling
- Profiling R on a Contemporary Processor (SS, JMP), pp. 173–184.
- VLDB-2015-BailisFFGHS14 #coordination #database
- Coordination Avoidance in Database Systems (PB, AF, MJF, AG, JMH, IS), pp. 185–196.
- VLDB-2015-ZengPP14 #induction #logic programming #named #scalability
- QuickFOIL: Scalable Inductive Logic Programming (QZ, JMP, DP), pp. 197–208.
- VLDB-2015-YuBPDS14 #concurrent #evaluation
- Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores (XY, GB, AP, SD, MS), pp. 209–220.
- VLDB-2015-TrummerK14 #multi #optimisation #parametricity #query
- Multi-Objective Parametric Query Optimization (IT, CK), pp. 221–232.
- VLDB-2015-GicevaARH14 #deployment #multi #query
- Deployment of Query Plans on Multicores (JG, GA, TR, TH), pp. 233–244.
- VLDB-2015-TaftMSDEAPS14 #clustering #distributed #fine-grained #named #transaction
- E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing (RT, EM, MS, JD, AJE, AA, AP, MS), pp. 245–256.
- VLDB-2015-ThirumuruganathanRAD14 #mining
- Beyond Itemsets: Mining Frequent Featuresets over Structured Items (ST, HR, SA, GD), pp. 257–268.
- VLDB-2015-ZhangWWY14 #behaviour #predict #social
- Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction (JZ, CW, JW, JXY), pp. 269–280.
- VLDB-2015-LuCYW14 #distributed #evaluation #graph #scalability
- Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation (YL, JC, DY, HW), pp. 281–292.
- VLDB-2015-InoueOT14 #branch #performance #predict #set
- Faster Set Intersection with SIMD instructions by Reducing Branch Mispredictions (HI, MO, KT), pp. 293–304.
- VLDB-2015-El-KishkySWVH14 #corpus #mining #scalability #topic
- Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
- VLDB-2015-TaoYL14 #performance #similarity
- Efficient Top-K SimRank-based Similarity Join (WT, MY, GL), pp. 317–328.
- VLDB-2015-HeZH14 #architecture #cpu #gpu #query
- In-Cache Query Co-Processing on Coupled CPU-GPU Architectures (JH, SZ, BH), pp. 329–340.
- VLDB-2015-FujiwaraIKO14 #image #ranking #retrieval #scalability
- Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.
- VLDB-2015-BarberLPRSACLS14
- Memory-Efficient Hash Joins (RB, GML, IP, VR, RS, GKA, NC, SL, DS), pp. 353–364.
- VLDB-2015-AlexeRT14 #integration
- Preference-aware Integration of Temporal Data (BA, MR, WCT), pp. 365–376.
- VLDB-2015-ZhouGSY14 #distributed #graph #named #online #scalability #using
- MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing (CZ, JG, BS, JXY), pp. 377–388.
- VLDB-2015-HuangSQ14 #transaction
- NVRAM-aware Logging in Transaction Systems (JH, KS, MKQ), pp. 389–400.
- VLDB-2015-ChandramouliGBDPTW14 #incremental #named #query
- Trill: A High-Performance Incremental Query Processor for Diverse Analytics (BC, JG, MB, RD, JCP, JFT, JW), pp. 401–412.
- VLDB-2015-SongGCW14 #graph #pattern matching
- Event Pattern Matching over Graph Streams (CS, TG, CXC, JW), pp. 413–424.
- 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-ShenCJLOT14 #distributed #graph #performance
- Fast Failure Recovery in Distributed Graph Processing Systems (YS, GC, HVJ, WL, BCO, BMT), pp. 437–448.
- VLDB-2015-ThenKCHPK0V14 #graph #multi #performance #traversal
- The More the Merrier: Efficient Multi-Source Graph Traversal (MT, MK, FC, TAHV, KP, AK, TN, HTV), pp. 449–460.
- VLDB-2015-WandeltL #multi #named #string
- MRCSI: Compressing and Searching String Collections with Multiple References (SW, UL), pp. 461–472.
- 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-Wu0HZL #crowdsourcing #towards
- Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets (TW, LC, PH, CJZ, WL), pp. 485–496.
- 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-LiQYM #community #network #scalability
- Influential Community Search in Large Networks (RHL, LQ, JXY, RM), pp. 509–520.
- VLDB-2015-KimBPIMR #agile #visualisation
- Rapid Sampling for Visualizations with Ordering Guarantees (AK, EB, AGP, PI, SM, RR), pp. 521–532.
- VLDB-2015-ChangLZYZQ #performance
- Optimal Enumeration: Efficient Top-k Tree Matching (LC, XL, WZ, JXY, YZ, LQ), pp. 533–544.
- VLDB-2015-LazersonSKSGS #distributed #monitoring #using
- Monitoring Distributed Streams using Convex Decompositions (AL, IS, DK, AS, MNG, VS), pp. 545–556.
- 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-YuM #network #performance #scalability
- Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.
- VLDB-2015-GatterbauerGKF
- Linearized and Single-Pass Belief Propagation (WG, SG, DK, CF), pp. 581–592.
- VLDB-2015-DoLW #mining
- Mining Revenue-Maximizing Bundling Configuration (LD, HWL, KW), pp. 593–604.
- VLDB-2015-YangCLW #analysis #nearest neighbour #query
- Reverse k Nearest Neighbors Query Processing: Experiments and Analysis (SY, MAC, XL, WW), pp. 605–616.
- VLDB-2015-RenW #graph #morphism #scalability
- Exploiting Vertex Relationships in Speeding up Subgraph Isomorphism over Large Graphs (XR, JW), pp. 617–628.
- VLDB-2015-GatterbauerS #approximate #database #probability
- Approximate Lifted Inference with Probabilistic Databases (WG, DS), pp. 629–640.
- VLDB-2015-VesdapuntBD #algorithm #crowdsourcing
- Errata for “Crowdsourcing Algorithms for Entity Resolution” (PVLDB 7(12): 1071-1082) (NV, KB, NND), p. 641.
- VLDB-2015-JhaHLCH #approach #in memory #memory management
- Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach (SJ, BH, ML, XC, HPH), pp. 642–653.
- VLDB-2015-HammoudRNBS #adaptation #communication #distributed #named #query #rdf
- DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication (MH, DAR, RN, SMRB, SS), pp. 654–665.
- VLDB-2015-ChenFLFTT #online #topic
- Online Topic-Aware Influence Maximization (SC, JF, GL, JF, KLT, JT), pp. 666–677.
- VLDB-2015-NaziZT0D #network #online #performance #social
- Walk, Not Wait: Faster Sampling Over Online Social Networks (AN, ZZ, ST, NZ, GD), pp. 678–689.
- VLDB-2015-BenediktLT #constraints #data access #query
- Querying with Access Patterns and Integrity Constraints (MB, JL, ET), pp. 690–701.
- VLDB-2015-TangwongsanHSW #incremental
- General Incremental Sliding-Window Aggregation (KT, MH, SS, KLW), pp. 702–713.
- VLDB-2015-LeiZRE #execution #pipes and filters
- Shared Execution of Recurring Workloads in MapReduce (CL, ZZ, EAR, MYE), pp. 714–725.
- VLDB-2015-NarasayyaMSLSC #as a service #memory management #multitenancy #relational
- Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service (VRN, IM, MS, FL, MS, SC), pp. 726–737.
- VLDB-2015-GaoL0ZZ #query
- Answering Why-not Questions on Reverse Top-k Queries (YG, QL, GC, BZ, LZ), pp. 738–749.
- VLDB-2015-PapadopoulosPTT #authentication #pattern matching #proving
- Practical Authenticated Pattern Matching with Optimal Proof Size (DP, CP, RT, NT), pp. 750–761.
- 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-PapenbrockKQN #dependence
- Divide & Conquer-based Inclusion Dependency Discovery (TP, SK, JAQR, FN), pp. 774–785.
- VLDB-2015-ChenJ #in memory #memory management #persistent
- Persistent B+-Trees in Non-Volatile Main Memory (SC, QJ), pp. 786–797.
- VLDB-2015-WuJLZ #community #detection #robust
- Robust Local Community Detection: On Free Rider Effect and Its Elimination (YW, RJ, JL, XZ), pp. 798–809.
- VLDB-2015-FanRMGW #comprehension #consistency
- Understanding the Causes of Consistency Anomalies in Apache Cassandra (HF, AR, MM, WMG, BW), pp. 810–821.
- VLDB-2015-AslayLB0L #social
- Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret (ÇA, WL, FB, AG, LVSL), pp. 822–833.
- VLDB-2015-ChuWLHP #clustering #detection #named #scalability
- ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
- VLDB-2015-ShaoC0LX #framework #graph #performance #scalability #similarity
- An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs (YS, BC, LC, ML, XX), pp. 838–849.
- VLDB-2015-AhmadK #distributed
- Compaction Management in Distributed Key-Value Datastores (MYA, BK), pp. 850–861.
- VLDB-2015-GuerraouiKPT #difference #named #privacy #recommendation
- D2P: Distance-Based Differential Privacy in Recommenders (RG, AMK, RP, MT), pp. 862–873.
- VLDB-2015-MitliagkasBDC #approximate #exclamation #graph #performance #rank
- FrogWild! — Fast PageRank Approximations on Graph Engines (IM, MB, AGD, CC), pp. 874–885.
- VLDB-2015-VattaniCL #probability
- Optimal Probabilistic Cache Stampede Prevention (AV, FC, KL), pp. 886–897.
- VLDB-2015-PottiP #approximate #named #paradigm #query
- DAQ: A New Paradigm for Approximate Query Processing (NP, JMP), pp. 898–909.
- VLDB-2015-AnciauxLPP #scalability
- A Scalable Search Engine for Mass Storage Smart Objects (NA, SL, ISP, PP), pp. 910–921.
- VLDB-2015-WangHZS #documentation
- Schema Management for Document Stores (LW, OH, SZ, JS), pp. 922–933.
- VLDB-2015-SchuhknechtKD #clustering #on the
- On the Surprising Difficulty of Simple Things: the Case of Radix Partitioning (FMS, PK, JD), pp. 934–937.
- VLDB-2015-DongGMDHLSZ #knowledge-based #trust #web
- Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources (XLD, EG, KM, VD, WH, CL, SS, WZ), pp. 938–949.
- VLDB-2015-HanD #execution #graph #parallel
- Giraph Unchained: Barrierless Asynchronous Parallel Execution in Pregel-like Graph Processing Systems (MH, KD), pp. 950–961.
- VLDB-2015-BoghCA #gpu #parallel
- Work-Efficient Parallel Skyline Computation for the GPU (KSB, SC, IA), pp. 962–973.
- VLDB-2015-LaiQLC #pipes and filters #scalability
- Scalable Subgraph Enumeration in MapReduce (LL, LQ, XL, LC), pp. 974–985.
- VLDB-2015-FinisBK0MF
- Indexing Highly Dynamic Hierarchical Data (JF, RB, AK, TN, NM, FF), pp. 986–997.
- VLDB-2015-WangWYZ #benchmark #community #detection #framework #metric #network #social
- Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework (MW, CW, JXY, JZ), pp. 998–1009.
- VLDB-2015-KazemiHG #graph
- Growing a Graph Matching from a Handful of Seeds (EK, SHH, MG), pp. 1010–1021.
- VLDB-2015-ChengLCF0HZ #crowdsourcing #reliability
- Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers (PC, XL, ZC, RF, LC, JH, JZ), pp. 1022–1033.
- VLDB-2015-Zhou0D #network #online #performance #social
- Leveraging History for Faster Sampling of Online Social Networks (ZZ, NZ, GD), pp. 1034–1045.
- VLDB-2015-DingSMM #algorithm #framework #named #optimisation #problem
- TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems (YD, XS, MM, TM), pp. 1046–1057.
- VLDB-2015-LeisKK0 #performance #query #sql
- Efficient Processing of Window Functions in Analytical SQL Queries (VL, KK, AK, TN), pp. 1058–1069.
- VLDB-2015-LiZT #online #realtime
- Real-time Targeted Influence Maximization for Online Advertisements (YL, DZ, KLT), pp. 1070–1081.
- VLDB-2015-PapenbrockEMNRZ #algorithm #dependence #evaluation #functional
- Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms (TP, JE, JM, TN, JPR, MS, JZ, FN), pp. 1082–1093.
- VLDB-2015-KalininCZ #multi #named #scalability
- Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (AK, UÇ, SBZ), pp. 1094–1105.
- VLDB-2015-RahmanLT0D #database #privacy #ranking
- Privacy Implications of Database Ranking (MFR, WL, ST, NZ, GD), pp. 1106–1117.
- VLDB-2015-KohlerLZ #sql
- Possible and Certain SQL Key (HK, SL, XZ), pp. 1118–1129.
- VLDB-2015-TangCM #scalability #similarity
- Scaling Similarity Joins over Tree-Structured Data (YT, YC, NM), pp. 1130–1141.
- VLDB-2015-RahmanTRAD #estimation
- Worker Skill Estimation in Team-Based Tasks (HR, ST, SBR, SAY, GD), pp. 1142–1153.
- VLDB-2015-HeCMPS #named #synthesis #using
- DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems (XH, GC, AM, CMP, DS), pp. 1154–1165.
- VLDB-2015-LiDS #constraints #latency #scalability
- Supporting Scalable Analytics with Latency Constraints (BL, YD, PJS), pp. 1166–1177.
- VLDB-2015-ShiokawaFO #algorithm #clustering #graph #performance #scalability
- SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
- VLDB-2015-FaleiroA #concurrent #multi
- Rethinking serializable multiversion concurrency control (JMF, DJA), pp. 1190–1201.
- VLDB-2015-BrancotteYBBDH #analysis #rank
- Rank aggregation with ties: Experiments and Analysis (BB, BY, GB, SCB, AD, SH), pp. 1202–1213.
- VLDB-2015-SundaramSPDAV0D #effectiveness #graph #named #performance
- GraphMat: High performance graph analytics made productive (NS, NS, MMAP, SD, MJA, SGV, DD, PD), pp. 1214–1225.
- VLDB-2015-ZhangWYGLZ #in memory #named #throughput
- Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores (KZ, KW, YY, LG, RL, XZ), pp. 1226–1237.
- VLDB-2015-KimSHHC #morphism #query #rdf
- Taming Subgraph Isomorphism for RDF Query Processing (JK, HS, WSH, SH, HC), pp. 1238–1249.
- VLDB-2015-JiangN #feedback #interactive #named #query #specification
- SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification (LJ, AN), pp. 1250–1261.
- VLDB-2015-ZhouLLZ #graph #named #optimisation #performance
- GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations (YZ, LL, KL, QZ), pp. 1262–1273.
- VLDB-2015-InoueT #algorithm #array #sorting
- SIMD- and Cache-Friendly Algorithm for Sorting an Array of Structures (HI, KT), pp. 1274–1285.
- VLDB-2015-SongZC0 #similarity
- Enriching Data Imputation with Extensive Similarity Neighbors (SS, AZ, LC, JW), pp. 1286–1297.
- VLDB-2015-MakreshanskiLS #hardware #memory management #transaction
- To Lock, Swap, or Elide: On the Interplay of Hardware Transactional Memory and Lock-Free Indexing (DM, JJL, RS), pp. 1298–1309.
- VLDB-2015-ShinWWSZR #incremental #knowledge base #using
- Incremental Knowledge Base Construction Using DeepDive (JS, SW, FW, CDS, CZ, CR), pp. 1310–1321.
- VLDB-2015-QianGJ #adaptation #comparison #learning
- Learning User Preferences By Adaptive Pairwise Comparison (LQ, JG, HVJ), pp. 1322–1333.
- VLDB-2015-LiuRT0D
- Aggregate Estimations over Location Based Services (WL, MFR, ST, NZ, GD), pp. 1334–1345.
- VLDB-2015-BhattacherjeeCH #dataset #trade-off #version control
- Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff (SB, AC, SH, AD, AGP), pp. 1346–1357.
- VLDB-2015-HeGC #corpus #named #semantics #using
- SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora (YH, KG, XC), pp. 1358–1369.
- VLDB-2015-KrishnanWFGK
- Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views (SK, JW, MJF, KG, TK), pp. 1370–1381.
- VLDB-2015-NagarkarCB #query
- Compressed Spatial Hierarchical Bitmap (cSHB) Indexes for Efficiently Processing Spatial Range Query Workloads (PN, KSC, AB), pp. 1382–1393.
- VLDB-2015-DeutchGM #datalog #query #source code #using
- Selective Provenance for Datalog Programs Using Top-K Queries (DD, AG, YM), pp. 1394–1405.
- VLDB-2015-ParkMS #pipes and filters #probability #query #using
- Processing of Probabilistic Skyline Queries Using MapReduce (YP, JKM, KS), pp. 1406–1417.
- VLDB-2015-ZhangC0 #approach #distributed #graph #set
- Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach (XZ, HC, LC), pp. 1418–1429.
- VLDB-2015-AmsterdamerKM #interface #natural language #query
- A Natural Language Interface for Querying General and Individual Knowledge (YA, AK, TM), pp. 1430–1441.
- 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-OhKLM #memory management #mobile #optimisation
- SQLite Optimization with Phase Change Memory for Mobile Applications (GO, SK, SWL, BM), pp. 1454–1465.
- VLDB-2015-CrottyGDKBCZ #architecture #compilation #workflow
- An Architecture for Compiling UDF-centric Workflows (AC, AG, KD, TK, CB, UÇ, SZ), pp. 1466–1477.
- VLDB-2015-MargoS #distributed #graph #scalability
- A Scalable Distributed Graph Partitioner (DWM, MIS), pp. 1478–1489.
- VLDB-2015-SharovSMS #distributed #exclamation #online #optimisation
- Take me to your leader! Online Optimization of Distributed Storage Configurations (AS, AS, AM, MS), pp. 1490–1501.
- VLDB-2015-FanWWX #graph
- Association Rules with Graph Patterns (WF, XW, YW, JX), pp. 1502–1513.
- VLDB-2015-KimmettST #case study #fuzzy #pipes and filters
- Fuzzy Joins in MapReduce: An Experimental Study (BK, VS, AT), pp. 1514–1525.
- VLDB-2015-ChoBBFKP #algorithm #named #parallel #performance
- PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort (MC, DB, RB, UF, VK, RP), pp. 1518–1529.
- VLDB-2015-VengerovMZC #estimation
- Join Size Estimation Subject to Filter Conditions (DV, ACM, MZ, SC), pp. 1530–1541.
- VLDB-2015-WangBH #datalog #evaluation #fault tolerance #recursion
- Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines (JW, MB, DH), pp. 1542–1553.
- VLDB-2015-MouratidisZP #query #rank
- Maximum Rank Query (KM, JZ, HP), pp. 1554–1565.
- VLDB-2015-KatsarouNT #performance #query #scalability
- Performance and Scalability of Indexed Subgraph Query Processing Methods (FK, NN, PT), pp. 1566–1577.
- VLDB-2015-YangMFLK #approach #lens #named #on-demand
- Lenses: An On-Demand Approach to ETL (YY, NM, RF, ZHL, OK), pp. 1578–1589.
- VLDB-2015-FanFTD #graph
- Keys for Graphs (WF, ZF, CT, XLD), pp. 1590–1601.
- VLDB-2015-EldawyAM #clustering
- Spatial Partitioning Techniques in Spatial Hadoop (AE, LA, MFM), pp. 1602–1613.
- VLDB-2015-ManabeT #documentation #html #logic
- Extracting Logical Hierarchical Structure of HTML Documents Based on Headings (TM, KT), pp. 1606–1617.
- VLDB-2015-NaidanBN #performance #permutation
- Permutation Search Methods are Efficient, Yet Faster Search is Possible (BN, LB, EN), pp. 1618–1629.
- VLDB-2015-MukherjeeCCDGHH #architecture #database #distributed #in memory
- Distributed Architecture of Oracle Database In-memory (NM, SC, MC, DD, MG, SH, AH, HJ, JK, KK, TL, JL, NM, VM, AM, AW, JY, MZ), pp. 1630–1641.
- VLDB-2015-HaasAGM #crowdsourcing #named
- Argonaut: Macrotask Crowdsourcing for Complex Data Processing (DH, JA, LG, AM), pp. 1642–1653.
- VLDB-2015-WangKSPZNRKS
- Building a Replicated Logging System with Apache Kafka (GW, JK, SS, KP, MZ, NN, JR, JK, JS), pp. 1654–1665.
- VLDB-2015-LoroGKPB #logic
- Indexing and Selecting Hierarchical Business Logic (AL, AG, DK, DP, PB), pp. 1656–1667.
- VLDB-2015-ShuklaTRGSZSGWB
- Schema-Agnostic Indexing with Azure DocumentDB (DS, ST, KR, MG, AS, SZ, KS, MGG, AW, SB, RF, MN, MK, JH, SS, JJL, DBL), pp. 1668–1679.
- VLDB-2015-BoutinBCEGKYZZ #interactive #named #reliability
- JetScope: Reliable and Interactive Analytics at Cloud Scale (EB, PB, XC, JE, TG, AK, ZY, NZ, JZ), pp. 1680–1691.
- VLDB-2015-HuYYDCYGZ #big data #difference #framework #platform #privacy
- Differential Privacy in Telco Big Data Platform (XH, MY, JY, YD, LC, QY, HG, JZ), pp. 1692–1703.
- VLDB-2015-El-HelwRSCGP #database #optimisation
- Optimization of Common Table Expressions in MPP Database Systems (AEH, VR, MAS, GCC, ZG, MP), pp. 1704–1715.
- VLDB-2015-GoelPABMFGMBL #architecture #realtime #scalability #towards
- Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads (AKG, JP, NA, PB, SM, FF, FG, CM, TB, WL), pp. 1716–1727.
- VLDB-2015-DasuSSS #monitoring #quality
- FIT to Monitor Feed Quality (TD, VS, DS, DFS), pp. 1729–1740.
- VLDB-2015-LarsonBHHNP #realtime #sql
- Real-Time Analytical Processing with SQL Server (PÅL, AB, ENH, WH, MN, VP), pp. 1740–1751.
- VLDB-2015-WuHYY #evaluation #performance #query #visualisation
- Efficient Evaluation of Object-Centric Exploration Queries for Visualization (YW, BH, JY, CY), pp. 1752–1763.
- 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-DasYZVVKGKM #database #in memory #optimisation #query
- Query Optimization in Oracle 12c Database In-Memory (DD, JY, MZ, SRV, NV, RK, PG, JK, NM), pp. 1770–1781.
- VLDB-2015-GreenOW #approach #live programming #programming
- Live Programming in the LogicBlox System: A MetaLogiQL Approach (TJG, DO, GW), pp. 1782–1793.
- 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-ChingEKLM #graph
- One Trillion Edges: Graph Processing at Facebook-Scale (AC, SE, MK, DL, SM), pp. 1804–1815.
- VLDB-2015-PelkonenFCHMTV #database #in memory #named #performance #scalability
- Gorilla: A Fast, Scalable, In-Memory Time Series Database (TP, SF, PC, QH, JM, JT, KV), pp. 1816–1827.
- VLDB-2015-PotharajuCHNWZJ #automation #detection #knowledge base #named
- ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection (RP, JC, LH, CNR, MW, LZ, NJ), pp. 1828–1839.
- VLDB-2015-ArmbrustDDGORSW #performance #scalability #usability
- Scaling Spark in the Real World: Performance and Usability (MA, TD, AD, AG, AO, JR, IS, PW, RX, MZ), pp. 1840–1851.
- VLDB-2015-SahliMK #named #scalability #string
- StarDB: A Large-Scale DBMS for Strings (MS, EM, PK), pp. 1844–1855.
- VLDB-2015-HarbiAKM #dataset #query #rdf
- Evaluating SPARQL Queries on Massive RDF Datasets (RH, IA, PK, NM), pp. 1848–1859.
- VLDB-2015-KouUMLLG #topic
- A Topic-based Reviewer Assignment System (NMK, LHU, NM, YL, YL, ZG), pp. 1852–1863.
- 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-PapenbrockBFZN #profiling
- Data Profiling with Metanome (TP, TB, MF, JZ, FN), pp. 1860–1871.
- 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-SeahBS #concept #image #named #social #summary
- PRISM: Concept-preserving Summarization of Top-K Social Image Search Results (BSS, SSB, AS), pp. 1868–1879.
- VLDB-2015-MullerG #abstract interpretation #sql
- Provenance for SQL through Abstract Interpretation: Value-less, but Worthwhile (TM, TG), pp. 1872–1883.
- 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-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-ChenGXJC #distributed #image #named #recommendation #retrieval
- I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System (LC, YG, ZX, CSJ, GC), pp. 1884–1895.
- VLDB-2015-BursztynGM #performance #query #rdf
- Reformulation-based query answering in RDF: alternatives and performance (DB, FG, IM), pp. 1888–1899.
- VLDB-2015-BuxBLHDL #execution #named #scalability #workflow
- SAASFEE: Scalable Scientific Workflow Execution Engine (MB, JB, CL, KH, JD, UL), pp. 1892–1903.
- 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-BergmanMNT #named #query
- QOCO: A Query Oriented Data Cleaning System with Oracles (MB, TM, SN, WCT), pp. 1900–1911.
- VLDB-2015-YingKSS #named
- TreeScope: Finding Structural Anomalies In Semi-Structured Data (SY, FK, BS, DS), pp. 1904–1915.
- VLDB-2015-ElmoreDSBCGHHKK
- A Demonstration of the BigDAWG Polystore System (AJE, JD, MS, MB, UÇ, VG, JH, BH, JK, TK, SM, DM, TGM, SP, JP, NT, MV, SZ), pp. 1908–1919.
- VLDB-2015-ZoumpatianosIP #interactive #named
- RINSE: Interactive Data Series Exploration with ADS+ (KZ, SI, TP), pp. 1912–1923.
- 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-ShinRC #knowledge base #named
- Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction (JS, CR, MJC), pp. 1920–1931.
- VLDB-2015-KoutraJNF #graph #interactive #mining #named #scalability #visualisation
- Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool (DK, DJ, YN, CF), pp. 1924–1935.
- VLDB-2015-JoglekarGP #data analysis
- Smart Drill-Down: A New Data Exploration Operator (MJ, HGM, AGP), pp. 1928–1939.
- VLDB-2015-DyresonBG #dependence #query
- Virtual eXist-db: Liberating Hierarchical Queries from the Shackles of Access Path Dependence (CED, SSB, RG), pp. 1932–1943.
- VLDB-2015-CortezBHN #database #enterprise
- Annotating Database Schemas to Help Enterprise Search (EC, PAB, YH, LN), pp. 1936–1947.
- VLDB-2015-JayaramGL #graph #interactive #interface #named #query #visual notation
- VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation (NJ, SG, CL), pp. 1940–1951.
- VLDB-2015-LiuDMM #named #realtime
- FLORIN — A System to Support (Near) Real-Time Applications on User Generated Content on Daily News (QL, ECD, AM, WM), pp. 1944–1955.
- VLDB-2015-LiKTVW #ide #information management #named #visual notation
- VINERy: A Visual IDE for Information Extraction (YL, EK, MAT, RV, HW), pp. 1948–1959.
- 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-AlvanakiGIKK #navigation
- GIS Navigation Boosted by Column Stores (FA, RG, MI, MLK, KK), pp. 1956–1967.
- VLDB-2015-ArocenaCGM #integration
- Gain Control over your Integration Evaluations (PCA, RC, BG, RJM), pp. 1960–1971.
- 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-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-DittrichB #research
- Janiform Intra-Document Analytics for Reproducible Research (JD, PB), pp. 1972–1983.
- VLDB-2015-SchubertKEZSZ #clustering #framework #nondeterminism
- A Framework for Clustering Uncertain Data (ES, AK, TE, AZ, KAS, AZ), pp. 1976–1987.
- VLDB-2015-BidoitHT #named
- EFQ: Why-Not Answer Polynomials in Action (NB, MH, KT), pp. 1980–1991.
- VLDB-2015-WangFWDM #fault #profiling
- Error Diagnosis and Data Profiling with Data X-Ray (XW, MF, YW, XLD, AM), pp. 1984–1995.
- VLDB-2015-PhamTMFG #database
- Sharing and Reproducing Database Applications (QP, ST, TM, ITF, BG), pp. 1988–1999.
- VLDB-2015-WylotCG #query #web
- A Demonstration of TripleProv: Tracking and Querying Provenance over Web Data (MW, PCM, PTG), pp. 1992–2003.
- VLDB-2015-OrtonaOBF #named #program repair
- WADaR: Joint Wrapper and Data Repair (SO, GO, MB, TF), pp. 1996–2007.
- VLDB-2015-BendreSZZCP #database #named #spreadsheet
- DATASPREAD: Unifying Databases and Spreadsheets (MB, BS, DZ, XZ, KCCC, AP), pp. 2000–2011.
- VLDB-2015-HaasKWF0 #framework #named #scalability
- Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
- VLDB-2015-SH #approach #big data #named #testing
- CODD: A Dataless Approach to Big Data Testing (AS, JRH), pp. 2008–2019.
- VLDB-2015-CebiricGM #graph #query #rdf #summary
- Query-Oriented Summarization of RDF Graphs (SC, FG, IM), pp. 2012–2023.
- VLDB-2015-ChodpathumwanAT #graph #independence #named #representation #towards
- Universal-DB: Towards Representation Independent Graph Analytics (YC, AA, AT, YS), pp. 2016–2027.
- VLDB-2015-MahmoodAQRDMAHA #distributed #named
- Tornado: A Distributed Spatio-Textual Stream Processing System (ARM, AMA, TQ, EKR, AD, AM, ASA, MSH, WGA, SB), pp. 2020–2031.
- VLDB-2015-CrottyGZBK #interactive #named
- Vizdom: Interactive Analytics through Pen and Touch (AC, AG, EZ, CB, TK), pp. 2024–2035.
- VLDB-2015-ConsensFKP #bisimulation #query #summary
- S+EPPs: Construct and Explore Bisimulation Summaries, plus Optimize Navigational Queries; all on Existing SPARQL Systems (MPC, VF, SK, GP), pp. 2028–2039.
- VLDB-2015-Xirogiannopoulos #graph #named #relational
- GraphGen: Exploring Interesting Graphs in Relational Data (KX, UK, AD), pp. 2032–2043.
- VLDB-2015-YoonMB #database #named
- DBSeer: Pain-free Database Administration through Workload Intelligence (DYY, BM, DPB), pp. 2036–2047.
- VLDB-2015-KejariwalKR #algorithm #realtime
- Real Time Analytics: Algorithms and Systems (AK, SK, KR), pp. 2040–2051.
- VLDB-2015-KhanC #graph #modelling #nondeterminism #on the #query
- On Uncertain Graphs Modeling and Queries (AK, LC), pp. 2042–2053.
- VLDB-2015-DongT #roadmap
- A Time Machine for Information: Looking Back to Look Forward (XLD, WCT), pp. 2044–2055.
- VLDB-2015-DasD #social #social media
- Structured Analytics in Social Media (MD, GD), pp. 2046–2057.
- VLDB-2015-GaoLZFH #crowdsourcing #perspective
- Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective (JG, QL, BZ, WF, JH), pp. 2048–2059.
- VLDB-2015-AbadiBOP #named #tutorial
- Tutorial: SQL-on-Hadoop Systems (DA, SB, FÖ, IP), pp. 2050–2061.
- VLDB-2015-Loaiza #database #hardware
- Engineering Database Hardware and Software Together (JL), pp. 2052–2063.
- 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-Walter #big data
- Big Plateaus of Big Data on the Big Island (TW), pp. 2057–2068.
- VLDB-2015-Ailamaki #database #hardware
- Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship (AA), pp. 2058–2061.
- 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-KhayyatLSOPQ0K #difference #performance
- Lightning Fast and Space Efficient Inequality Joins (ZK, WL, MS, MO, PP, JAQR, NT, PK), pp. 2074–2085.
- VLDB-2015-LiuXPLZ
- Finding Pareto Optimal Groups: Group-based Skyline (JL, LX, JP, JL, HZ), pp. 2086–2097.
- VLDB-2015-FaulknerBL #query
- k-Regret Queries with Nonlinear Utilities (TKF, WB, AL), pp. 2098–2109.
- 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-LiuLYXW #graph #independence #set #towards
- Towards Maximum Independent Sets on Massive Graphs (YL, JL, HY, XX, ZW), pp. 2122–2133.
- VLDB-2015-MeehanTZACDKMMP #named #streaming #transaction
- S-Store: Streaming Meets Transaction Processing (JM, NT, SZ, CA, UÇ, JD, TK, SM, DM, AP, MS, KT, HW), pp. 2134–2145.
- VLDB-2015-LevandoskiLSS0 #concurrent #multi
- Multi-Version Range Concurrency Control in Deuteronomy (JJL, DBL, SS, RS, RW), pp. 2146–2157.
- 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-GalhotraBBRJ #evolution #topic
- Tracking the Conductance of Rapidly Evolving Topic-Subgraphs (SG, AB, SB, MR, VJ), pp. 2170–2181.
- 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-QiuBDSS #named #scalability #specification #web
- DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web (DQ, LB, XLD, YS, DS), pp. 2194–2205.
62 ×#named
34 ×#query
30 ×#scalability
27 ×#graph
27 ×#performance
15 ×#database
14 ×#distributed
10 ×#in memory
9 ×#clustering
9 ×#using
34 ×#query
30 ×#scalability
27 ×#graph
27 ×#performance
15 ×#database
14 ×#distributed
10 ×#in memory
9 ×#clustering
9 ×#using