BibSLEIGH — Proceedings of the 43rd International Conference on Very Large Data Bases

Proceedings of the 43rd International Conference on Very Large Data Bases
VLDB-2017, 2017.

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@proceedings{VLDB-2017,
	journal       = "{Proceedings of the VLDB Endowment}",
	title         = "{Proceedings of the 43rd International Conference on Very Large Data Bases}",
	volume        = 10,
	year          = 2017,
}

Contents (207 items)

VLDB-2017-JiangC0JOTT16: Cohort Query Processing (DJ, QC, GC0, HVJ, BCO, KLT, AKHT), pp. 1–12.
VLDB-2017-WuBZ16: Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures (YW, YB, XZ0), pp. 13–24.
VLDB-2017-GeorgeCW16: IL-Miner: Instance-Level Discovery of Complex Event Patterns (LG, BC, MW), pp. 25–36.
VLDB-2017-PsaroudakisSMSA16: Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores (IP, TS, NM, AS, AA), pp. 37–48.
VLDB-2017-WangK16: Mostly-Optimistic Concurrency Control for Highly Contended Dynamic Workloads on a Thousand Cores (TW0, HK), pp. 49–60.
VLDB-2017-WangXYL: Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks (SW0, XX, YY, WL), pp. 61–72.
VLDB-2017-HuangL16: Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance (QH0, PPCL), pp. 73–84.
VLDB-2017-DaiYGJH16: Path Cost Distribution Estimation Using Trajectory Data (JD, BY0, CG, CSJ, JH), pp. 85–96.
VLDB-2017-SariyuceP16: Fast Hierarchy Construction for Dense Subgraphs (AES, AP), pp. 97–108.
VLDB-2017-ZhangWYJ16: Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling (XZ0, JW0, JY, SJ), pp. 109–120.
VLDB-2017-RenW16: Multi-Query Optimization for Subgraph Isomorphism Search (XR, JW), pp. 121–132.
VLDB-2017-SimpsonST16: Efficient Computation of Feedback Arc Set at Web-Scale (MS, VS0, AT), pp. 133–144.
VLDB-2017-AntenucciAC16: A Declarative Query Processing System for Nowcasting (DA, MRA, MJC), pp. 145–156.
VLDB-2017-LulliDMR16: NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data (AL, MD, PM, LR), pp. 157–168.
VLDB-2017-NeamtuARS16: Interactive Time Series Exploration Powered by the Marriage of Similarity Distances (RN, RA, EAR, GNS), pp. 169–180.
VLDB-2017-LiZZZ16: Computing Longest Increasing Subsequences over Sequential Data Streams (YL, LZ0, HZ, DZ0), pp. 181–192.
VLDB-2017-ChirigatiLKWYZ16: Knowledge Exploration using Tables on the Web (FC, JL, FK, YW0, CY0, HZ), pp. 193–204.
VLDB-2017-WangTXYL16: HubPPR: Effective Indexing for Approximate Personalized PageRank (SW0, YT, XX, YY, ZL), pp. 205–216.
VLDB-2017-LaiQLZC16: Scalable Distributed Subgraph Enumeration (LL, LQ, XL0, YZ0, LC), pp. 217–228.
VLDB-2017-FujiwaraIANI16: Fast Algorithm for the Lasso based L1-Graph Construction (YF, YI, JA, MN, SI), pp. 229–240.
VLDB-2017-ZhaiLLWC16: Resisting Tag Spam by Leveraging Implicit User Behaviors (EZ, ZL0, ZL0, FW0, GC), pp. 241–252.
VLDB-2017-ChenLWL16: A General Framework for Estimating Graphlet Statistics via Random Walk (XC, YL, PW, JCSL), pp. 253–264.
VLDB-2017-LinMPS16: Fast In-Memory SQL Analytics on Typed Graphs (CL, BM, YP, MS), pp. 265–276.
VLDB-2017-LiG16: Stochastic Data Acquisition for Answering Queries as Time Goes by (ZL, TG), pp. 277–288.
VLDB-2017-DaiSLZ16: Finding Persistent Items in Data Streams (HD, MS, AXL, YZ), pp. 289–300.
VLDB-2017-XuLJLHA16: BlueCache: A Scalable Distributed Flash-based Key-value Store (SX, SL, SWJ, ML, JH, A), pp. 301–312.
VLDB-2017-FanZWT16: A General and Parallel Platform for Mining Co-Movement Patterns over Large-scale Trajectories (QF, DZ, HW0, KLT), pp. 313–324.
VLDB-2017-ShaoCTL16: VIP-Tree: An Effective Index for Indoor Spatial Queries (ZS, MAC, DT, HL0), pp. 325–336.
VLDB-2017-ArulrajPP16: Write-Behind Logging (JA, MP, AP), pp. 337–348.
VLDB-2017-PapadopoulosDMM16: The TileDB Array Data Storage Manager (SP0, KD, SM, TGM), pp. 349–360.
VLDB-2017-ZhengLC16: DOCS: Domain-Aware Crowdsourcing System (YZ, GL0, RC), pp. 361–372.
VLDB-2017-WangMM16: Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud (YW, AM, GM), pp. 373–384.
VLDB-2017-YuS16: Two Birds, One Stone: A Fast, yet Lightweight, Indexing Scheme for Modern Database Systems (JY0, MS), pp. 385–396.
VLDB-2017-LiG16a: History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources (ZL, TG), pp. 397–408.
VLDB-2017-BrownA16: PHyTM: Persistent Hybrid Transactional Memory (TB0, HA), pp. 409–420.
VLDB-2017-SunFWW16: Skipping-oriented Partitioning for Columnar Layouts (LS, MJF, JW, EW0), pp. 421–432.
VLDB-2017-SinghST16: Estimating Quantiles from the Union of Historical and Streaming Data (SAS, DS, ST), pp. 433–444.
VLDB-2017-SerafiniTEPAS16: Clay: Fine-Grained Adaptive Partitioning for General Database Schemas (MS, RT, AJE, AP, AA, MS), pp. 445–456.
VLDB-2017-SiddiquiKLKP16: Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System (TS, AK, JL0, KK, AGP), pp. 457–468.
VLDB-2017-CeccarelloPPU: MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension (MC, AP, GP, EU), pp. 469–480.
VLDB-2017-BindschaedlerSG: Plausible Deniability for Privacy-Preserving Data Synthesis (VB, RS, CAG), pp. 481–492.
VLDB-2017-VermaLSG: An Experimental Comparison of Partitioning Strategies in Distributed Graph Processing (SV, LML, YS, IG), pp. 493–504.
VLDB-2017-ChandramouliG: Shrink - Prescribing Resiliency Solutions for Streaming (BC, JG), pp. 505–516.
VLDB-2017-BarthelsAHSM: Distributed Join Algorithms on Thousands of Cores (CB, GA, TH, TS, IM0), pp. 517–528.
VLDB-2017-LiuDSYZJ: Clue-based Spatio-textual Query (JL, KD, HS, GY0, XZ0, CSJ), pp. 529–540.
VLDB-2017-ZhengLLSC: Truth Inference in Crowdsourcing: Is the Problem Solved? (YZ, GL0, YL, CS, RC), pp. 541–552.
VLDB-2017-HardingAPS: An Evaluation of Distributed Concurrency Control (RH, DVA, AP, MS), pp. 553–564.
VLDB-2017-CuiXWSHW: KBQA: Learning Question Answering over QA Corpora and Knowledge Bases (WC, YX, HW, YS, SwH, WW0), pp. 565–576.
VLDB-2017-DeutchFG: Provenance for Natural Language Queries (DD, NF, AG), pp. 577–588.
VLDB-2017-LuSJM: AdaptDB: Adaptive Partitioning for Distributed Joins (YL, AS, AJ, SM), pp. 589–600.
VLDB-2017-ZhangSCZ: An Experimental Evaluation of SimRank-based Similarity Search Algorithms (ZZ, YS, BC0, CZ), pp. 601–612.
VLDB-2017-FaleiroAH: High Performance Transactions via Early Write Visibility (JMF, DA, JMH), pp. 613–624.
VLDB-2017-EswaranGFMK: ZooBP: Belief Propagation for Heterogeneous Networks (DE, SG, CF, DM, MK), pp. 625–636.
VLDB-2017-LyuSL: Understanding the Sparse Vector Technique for Differential Privacy (ML, DS, NL), pp. 637–648.
VLDB-2017-ZhangZZQL: OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks (FZ0, WZ0, YZ0, LQ, XL0), pp. 649–660.
VLDB-2017-KhanX0H: Data Tweening: Incremental Visualization of Data Transforms (MAK, LX, AN0, JMH), pp. 661–672.
VLDB-2017-BaterEEGKR: SMCQL: Secure Query Processing for Private Data Networks (JB, GE, CE, SG, ANK, JR), pp. 673–684.
VLDB-2017-ZamanianBKH: The End of a Myth: Distributed Transaction Can Scale (EZ, CB, TK, TH0), pp. 685–696.
VLDB-2017-ZhuMK: NED: An Inter-Graph Node Metric Based On Edit Distance (HZ, XM, GK), pp. 697–708.
VLDB-2017-FangCLLH: Effective Community Search over Large Spatial Graphs (YF, RC, XL0, SL, JH), pp. 709–720.
VLDB-2017-SzlichtaGGKS: Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization (JS, PG, LG, MK, DS), pp. 721–732.
VLDB-2017-KarnagelHL: Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources (TK, DH, WL), pp. 733–744.
VLDB-2017-YangSHCLZZ: LFTF: A Framework for Efficient Tensor Analytics at Scale (FY, FS, YH, JC, JL, YZ, RZ), pp. 745–756.
VLDB-2017-GuptaKLMV: Local Search Methods for k-Means with Outliers (SG, RK0, KL, BM, SV), pp. 757–768.
VLDB-2017-CasanovaEHKNSZ: Dimensional Testing for Reverse k-Nearest Neighbor Search (GC, EE, MEH, PK, MN, ES, AZ), pp. 769–780.
VLDB-2017-WuALXP: An Empirical Evaluation of In-Memory Multi-Version Concurrency Control (YW, JA, JL, RX, AP), pp. 781–792.
VLDB-2017-WuGAY: Finding Diverse, High-Value Representatives on a Surface of Answers (YW0, JG, PKA, JY0), pp. 793–804.
VLDB-2017-WangFLT: Real-Time Influence Maximization on Dynamic Social Streams (YW, QF, YL, KLT), pp. 805–816.
VLDB-2017-CaiZZCH: From Community Detection to Community Profiling (HC, VWZ, FZ, KCCC, ZH), pp. 817–828.
VLDB-2017-JainSPW: Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace (AJ, ADS, AGP, JW), pp. 829–840.
VLDB-2017-LinMZWH: One-Pass Error Bounded Trajectory Simplification (XL, SM0, HZ, TW, JH), pp. 841–852.
VLDB-2017-WangLHCPS: MILC: Inverted List Compression in Memory (JW0, CL, RH, MC, YP, SS), pp. 853–864.
VLDB-2017-Huang0: Cümülön-D: Data Analytics in a Dynamic Spot Market (BH, JY0), pp. 865–876.
VLDB-2017-ThenKGK0: Automatic Algorithm Transformation for Efficient Multi-Snapshot Analytics on Temporal Graphs (MT, TK, SG, AK, TN0), pp. 877–888.
VLDB-2017-ZhuPSP: Looking Ahead Makes Query Plans Robust (JZ, NP, SS0, JMP), pp. 889–900.
VLDB-2017-AndersonSSCZDSW: Bridging the Gap between HPC and Big Data frameworks (MJA, SS, NS, MC, ZZ, SD, NS, TLW), pp. 901–912.
VLDB-2017-HuangWBXL: Revisiting the Stop-and-Stare Algorithms for Influence Maximization (KH, SW0, GSB, XX, LVSL), pp. 913–924.
VLDB-2017-WangQLZC: Leveraging Set Relations in Exact Set Similarity Join (XW, LQ, XL0, YZ0, LC), pp. 925–936.
VLDB-2017-JiangFWW: READS: A Random Walk Approach for Efficient and Accurate Dynamic SimRank (MJ, AWCF, RCWW, KW0), pp. 937–948.
VLDB-2017-HuangL: Attribute-Driven Community Search (XH0, LVSL), pp. 949–960.
VLDB-2017-ChenZ: Bias-Aware Sketches (JC, QZ0), pp. 961–972.
VLDB-2017-CaoF: Data Driven Approximation with Bounded Resources (YC0, WF), pp. 973–984.
VLDB-2017-KhayyatLSOPQTK: Errata for “Lightning Fast and Space Efficient Inequality Joins” (PVLDB 8(13): 2074-2085) (ZK, WL, MS, MO, PP, JAQR, NT0, PK), p. 985.
VLDB-2017-QinTR: Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models (CQ, MT, FR), pp. 986–997.
VLDB-2017-ZhangZQZL: When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks (FZ0, YZ0, LQ, WZ0, XL0), pp. 998–1009.
VLDB-2017-LiuPCY: An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks (YL, TAP, GC, QY0), pp. 1010–1021.
VLDB-2017-RaasveldtM: Don't Hold My Data Hostage - A Case For Client Protocol Redesign (MR, HM), pp. 1022–1033.
VLDB-2017-ZhuHC: Auto-Join: Joining Tables by Leveraging Transformations (EZ, YH, SC), pp. 1034–1045.
VLDB-2017-ZhangS0Y: Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (AZ, SS, JW0, PSY), pp. 1046–1057.
VLDB-2017-ChenGZJYY: Pivot-based Metric Indexing (LC0, YG, BZ, CSJ, HY, KY), pp. 1058–1069.
VLDB-2017-GuerraouiKLP: Heterogeneous Recommendations: What You Might Like To Read After Watching Interstellar (RG, AMK, TL, RP), pp. 1070–1081.
VLDB-2017-DengKMS: SilkMoth: An Efficient Method for Finding Related Sets with Maximum Matching Constraints (DD, AK, SM, MS), pp. 1082–1093.
VLDB-2017-ChungKK: A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets (YC, SK, TK), pp. 1094–1105.
VLDB-2017-OlmaKAAA: Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing (MO, MK, IA, MA, AA), pp. 1106–1117.
VLDB-2017-LiKCGK: Mison: A Fast JSON Parser for Data Analytics (YL, NRK, BC, JG, DK), pp. 1118–1129.
VLDB-2017-HuangXLEP: OrpheusDB: Bolt-on Versioning for Relational Databases (SH, LX, JL, AJE, AGP), pp. 1130–1141.
VLDB-2017-GalakatosCZBK: Revisiting Reuse for Approximate Query Processing (AG, AC, EZ, CB, TK), pp. 1142–1153.
VLDB-2017-OrrSB: Probabilistic Database Summarization for Interactive Data Exploration (LJO, DS, MB), pp. 1154–1165.
VLDB-2017-OukidBLLWG: Memory Management Techniques for Large-Scale Persistent-Main-Memory Systems (IO, DB, AL, WL, TW, GG), pp. 1166–1177.
VLDB-2017-ShangCWJ0K: Trajectory Similarity Join in Spatial Networks (SS, LC, ZW, CSJ, KZ0, PK), pp. 1178–1189.
VLDB-2017-RekatsinasCIR: HoloClean: Holistic Data Repairs with Probabilistic Inference (TR, XC, IFI, CR), pp. 1190–1201.
VLDB-2017-IstvanSA: Caribou: Intelligent Distributed Storage (ZI, DS, GA), pp. 1202–1213.
VLDB-2017-ChenKNP: Towards Linear Algebra over Normalized Data (LC, AK0, JFN, JMP), pp. 1214–1225.
VLDB-2017-MehtaDZKCBRCVA: Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads (PM, SD, DZ0, TK, AC, MB, AR, AJC, JV, YA), pp. 1226–1237.
VLDB-2017-AslayBLL: Revenue Maximization in Incentivized Social Advertising (ÇA, FB, LVSL, WL0), pp. 1238–1249.
VLDB-2017-RupprechtCP: SquirrelJoin: Network-Aware Distributed Join Processing with Lazy Partitioning (LR, WC, PRP), pp. 1250–1261.
VLDB-2017-RahmanAKBKPR: I've Seen “Enough”: Incrementally Improving Visualizations to Support Rapid Decision Making (SR, MA, HK, EB, KK, AGP, RR), pp. 1262–1273.
VLDB-2017-LiHDZ: Minimal On-Road Time Route Scheduling on Time-Dependent Graphs (LL0, WH, XD, XZ0), pp. 1274–1285.
VLDB-2017-KatsipoulakisLC: A holistic view of stream partitioning costs (NRK, AL, PKC), pp. 1286–1297.
VLDB-2017-AkbasZ: Truss-based Community Search: a Truss-equivalence Based Indexing Approach (EA, PZ), pp. 1298–1309.
VLDB-2017-CambroneroFSM: Query Optimization for Dynamic Imputation (JC, JKF, MJS, SM), pp. 1310–1321.
VLDB-2017-MarchantR: In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling (NGM, BIPR), pp. 1322–1333.
VLDB-2017-TongWZDCYX: Flexible Online Task Assignment in Real-Time Spatial Data (YT, LW, ZZ, BD, LC0, JY, KX0), pp. 1334–1345.
VLDB-2017-BourosM: A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins (PB, NM), pp. 1346–1357.
VLDB-2017-RongB: ASAP: Prioritizing Attention via Time Series Smoothing (KR, PB), pp. 1358–1369.
VLDB-2017-LiDLL: Knowledge Verification for LongTail Verticals (FL, XLD, AL, YL), pp. 1370–1381.
VLDB-2017-PandeR0: SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries (SP, SR, AB0), pp. 1382–1393.
VLDB-2017-TanZES: Reverse Engineering Aggregation Queries (WCT, MZ, HE, DS), pp. 1394–1405.
VLDB-2017-YuCZS: LDA*: A Robust and Large-scale Topic Modeling System (LY, BC0, CZ, YS), pp. 1406–1417.
VLDB-2017-KabiljoKPPSAP: Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner (IK, BK, MP, SP, AS, YA, AP), pp. 1418–1429.
VLDB-2017-AhmedDWR: On Sampling from Massive Graph Streams (NKA, NGD, TLW, RAR), pp. 1430–1441.
VLDB-2017-YangZJCL: Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams (TY0, YZ, HJ, SC, XL), pp. 1442–1453.
VLDB-2017-CiacciaM: Reconciling Skyline and Ranking Queries (PC, DM), pp. 1454–1465.
VLDB-2017-GiannakopoulouK: CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning (SG, MK, BG, AA), pp. 1466–1477.
VLDB-2017-XieLP: Distributed Trajectory Similarity Search (DX0, FL0, JMP), pp. 1478–1489.
VLDB-2017-Chandra0: Runtime Optimization of Join Location in Parallel Data Management Systems (BC, SS0), pp. 1490–1501.
VLDB-2017-LehmbergB: Stitching Web Tables for Improving Matching Quality (OL, CB), pp. 1502–1513.
VLDB-2017-ShekelyanDG: DigitHist: a Histogram-Based Data Summary with Tight Error Bounds (MS, AD, JG), pp. 1514–1525.
VLDB-2017-PilmanBBMK: Fast Scans on Key-Value Stores (MP, KB, LB, RM, DK), pp. 1526–1537.
VLDB-2017-LuYWZ: Finding the maximum clique in massive graphs (CL, JXY, HW, YZ0), pp. 1538–1549.
VLDB-2017-ZhangOSZ: Privacy-preserving Network Provenance (YZ, AO, MS, WZ), pp. 1550–1561.
VLDB-2017-Garcia-UlloaXS: Truth Discovery for SpatioTemporal Events from Crowdsourced Data (DAGU, LX0, VSS), pp. 1562–1573.
VLDB-2017-TrummerZB: Data Vocalization: Optimizing Voice Output of Relational Data (IT, JZ, MB), pp. 1574–1585.
VLDB-2017-KangEABZ: NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale (DK, JE, FA, PB, MZ), pp. 1586–1597.
VLDB-2017-LeeMKKCHPNL: Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads (JL, SM, KHK, DHK, SKC, WSH, CGP, HJN, JYL), pp. 1598–1609.
VLDB-2017-ShamsuddinPS: Developing a Low Dimensional Patient Class Profile in Accordance to Their Respiration-Induced Tumor Motion (RS, BP, AS), pp. 1610–1621.
VLDB-2017-ZiauddinWKLPK: Dimensions Based Data Clustering and Zone Maps (MZ, AW, YJK, JL, DP, MK), pp. 1622–1633.
VLDB-2017-NoghabiPPRBGC: Stateful Scalable Stream Processing at LinkedIn (SAN, KP, YP, NR, JB, IG, RHC), pp. 1634–1645.
VLDB-2017-FalkGS: Query-able Kafka: An agile data analytics pipeline for mobile wireless networks (EF, VKG, RS), pp. 1646–1657.
VLDB-2017-NicaSACHBG: Statisticum: Data Statistics Management in SAP HANA (AN, RS, MA, XC, MH, CB, HG), pp. 1658–1669.
VLDB-2017-GessertSWWYR: Quaestor: Query Web Caching for Database-as-a-Service Providers (FG, MS, WW, EW, EY, NR), pp. 1670–1681.
VLDB-2017-GasiunasDAABCGM: Fiber-based architecture for NFV cloud databases (VG, DDS, RA, AA, IB, RC, EG, NMB, MM, AN, WO, NP, DS, EL), pp. 1682–1693.
VLDB-2017-BoeseFGJLSSSW: Probabilistic Demand Forecasting at Scale (JHB, VF, JG, TJ, DL, DS, SS, MWS, BW), pp. 1694–1705.
VLDB-2017-LeeKYCHNNJ: ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator (JL, HK, SY, KC, PH, GJN, MN, DAJ), pp. 1706–1717.
VLDB-2017-CarboneEFHRT: State Management in Apache Flink®: Consistent Stateful Distributed Stream Processing (PC, SE, GF, SH, SR0, KT), pp. 1718–1729.
VLDB-2017-ZhengLXWZYZ: PaxosStore: High-availability Storage Made Practical in WeChat (JZ, QL, JX, CW, CZ, PY, YZ), pp. 1730–1741.
VLDB-2017-AntonopoulosKTU: Resumable Online Index Rebuild in SQL Server (PA, HK, AT, NU, CS, MS), pp. 1742–1753.
VLDB-2017-AndreiLRSTBMSSV: SAP HANA Adoption of Non-Volatile Memory (MA, CL, GR, RS, CT, RB, AM, MS, SS, SV, DB, TP, IS, WT, MW, TW), pp. 1754–1765.
VLDB-2017-ZhangWLXL: CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles (MZ, TW, XL, TX, YL), pp. 1766–1777.
VLDB-2017-BonettaB: FAD.js: Fast JSON Data Access Using JIT-based Speculative Optimizations (DB, MB), pp. 1778–1789.
VLDB-2017-AggourWMK: Colt: Concept Lineage Tool for Data Flow Metadata Capture and Analysis (KSA, JWW, JM, VK), pp. 1790–1801.
VLDB-2017-YehKK: Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes (CCMY, NK, EJK), pp. 1802–1812.
VLDB-2017-ZaitCBVKW: Adaptive Statistics in Oracle 12c (MZ, SC, SB, SRV, RK, AW), pp. 1813–1824.
VLDB-2017-FloratouAGRR: Dhalion: Self-Regulating Stream Processing in Heron (AF, AA, BG, SR, KR), pp. 1825–1836.
VLDB-2017-ZhuPNM: Interactive Navigation of Open Data Linkages (EZ, KQP, FN, RJM), pp. 1837–1840.
VLDB-2017-PimentelMBF: noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts (JFP, LM, VB, JF), pp. 1841–1844.
VLDB-2017-WangFGLLTTWZ: ARShop: A Cloud-based Augmented Reality System for Shopping (CW, YF, QG, ZL, KL, ZT, AKHT, LW, YZ), pp. 1845–1848.
VLDB-2017-AbergerLOR: Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded (CRA, AL, KO, CR), pp. 1849–1852.
VLDB-2017-MaccioniT: Crossing the finish line faster when paddling the Data Lake with Kayak (AM, RT), pp. 1853–1856.
VLDB-2017-NiuALFZGKLG: Debugging Transactions and Tracking their Provenance with Reenactment (XN, BSA, SL, SF, XZ, DG, VK, ZHL, BG), pp. 1857–1860.
VLDB-2017-HuangBZC: PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases (KH, SSB, SZ, BC), pp. 1861–1864.
VLDB-2017-CaiLWZFW: DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query (RC, ZL, LW, ZZ, TZJF, MW), pp. 1865–1868.
VLDB-2017-PangWC0S: FlashView: An Interactive Visual Explorer for Raw Data (ZP, SW, GC0, KC0, LS), pp. 1869–1872.
VLDB-2017-SubercazeGGKL: Upsortable: Programming TopK Queries Over Data Streams (JS, CG, SG, AK, FL), pp. 1873–1876.
VLDB-2017-ChamanaraKJ: QUIS: InSitu Heterogeneous Data Source Querying (JC, BKR, HVJ), pp. 1877–1880.
VLDB-2017-AlawiniDHW: Automating Data Citation in CiteDB (AA, SBD, WH, YW), pp. 1881–1884.
VLDB-2017-FangCLHH: C-Explorer: Browsing Communities in Large Graphs (YF, RC, SL, JH, KH), pp. 1885–1888.
VLDB-2017-FanXWYJ: GRAPE: Parallelizing Sequential Graph Computations (WF, JX, YW, WY, JJ), pp. 1889–1892.
VLDB-2017-Khoshkbarforoushha: Flower: A Data Analytics Flow Elasticity Manager (AK, RR, QW, CF), pp. 1893–1896.
VLDB-2017-WangZC: STEED: An Analytical Database System for TrEE-structured Data (ZW, DZ, SC), pp. 1897–1900.
VLDB-2017-Xiao0ZC: LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model (YX, LX0, SZ, YC0), pp. 1901–1904.
VLDB-2017-RenCKLBRZK: Strider: An Adaptive, Inference-enabled Distributed RDF Stream Processing Engine (XR, OC, LK, JL, BB, TR, YZ, GK), pp. 1905–1908.
VLDB-2017-LiKWUG: A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing (YL, NMK, HW, LHU, ZG), pp. 1909–1912.
VLDB-2017-FiondaP: Explaining and Querying Knowledge Graphs by Relatedness (VF, GP), pp. 1913–1916.
VLDB-2017-KunjirB: Thoth in Action: Memory Management in Modern Data Analytics (MK, SB), pp. 1917–1920.
VLDB-2017-SchuleSHRLVK0: Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications (MS, PS, TH, TR, VL, DV, AK, TN0), pp. 1921–1924.
VLDB-2017-SunSLDB: Dima: A Distributed In-Memory Similarity-Based Query Processing System (JS, ZS, GL0, DD, ZB), pp. 1925–1928.
VLDB-2017-ChekolPSS: TeCoRe: Temporal Conflict Resolution in Knowledge Graphs (MWC, GP, JS, HS), pp. 1929–1932.
VLDB-2017-LiCCWZ: MLog: Towards Declarative In-Database Machine Learning (XL, BC0, YC, WW0, CZ), pp. 1933–1936.
VLDB-2017-DemiralpHPP: Foresight: Recommending Visual Insights (ÇD, PJH, SP0, TP), pp. 1937–1940.
VLDB-2017-JacobsUCHTVWSKW: A BAD Demonstration: Towards Big Active Data (SJ, MYSU, MJC0, VH, VJT, NV, YW, SS, PK, XW, MAQ, YL), pp. 1941–1944.
VLDB-2017-HassanZACJGHJKN: ClaimBuster: The First-ever End-to-end Fact-checking System (NH, GZ, FA, JC, DJ, SG, SH, MJ, AK, AKN, VS, CL, MT), pp. 1945–1948.
VLDB-2017-DeepKB: QIRANA Demonstration: Real time Scalable Query Pricing (SD, PK, YB), pp. 1949–1952.
VLDB-2017-KhanX0H17a: DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms (MAK, LX, AN0, JMH), pp. 1953–1956.
VLDB-2017-SalimiCPS: ZaliQL: Causal Inference from Observational Data at Scale (BS, CC, DRKP, DS), pp. 1957–1960.
VLDB-2017-AlarabiM: A Demonstration of ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data (LA, MFM), pp. 1961–1964.
VLDB-2017-BharadwajCDDDCG: Creation and Interaction with Large-scale Domain-Specific Knowledge Bases (SB, LC, MD, SD, SD, ACF, HG, NG0, SDH, MAH, HH, PJ, SJ0, HK, SK, RK, YL0, SM, ARM, FO, AQ, PR, DS, KS, JS, PS, SV, MV, HW, HZ0), pp. 1965–1968.
VLDB-2017-JonathanM: A Demonstration of Stella: A Crowdsourcing-Based Geotagging Framework (CJ, MFM), pp. 1969–1972.
VLDB-2017-MollZPMSG: Exploring big volume sensor data with Vroom (OM, AZ, SP, SM, MS, VG), pp. 1973–1976.
VLDB-2017-MottinLVP: New Trends on Exploratory Methods for Data Analytics (DM, ML, YV, TP), pp. 1977–1980.
VLDB-2017-KhanBB: Summarizing Static and Dynamic Big Graphs (AK, SSB, FB), pp. 1981–1984.
VLDB-2017-Mouratidis: Geometric Approaches for Top-k Queries (KM), pp. 1985–1987.
VLDB-2017-TongCS: Spatial Crowdsourcing: Challenges, Techniques, and Applications (YT, LC0, CS), pp. 1988–1991.
VLDB-2017-EldawyM: The Era of Big Spatial Data (AE, MFM), pp. 1992–1995.
VLDB-2017-GiatrakosADG: Complex Event Recognition in the Big Data Era (NG, AA, AD, MNG), pp. 1996–1999.
VLDB-2017-Mohan: Blockchains and Databases (CM0), pp. 2000–2001.
VLDB-2017-ZakharyAA: Caching at the Web Scale (VZ, AEA, DA), pp. 2002–2005.
VLDB-2017-Li: Human-in-the-loop Data Integration (GL0), pp. 2006–2017.
VLDB-2017-Lehner: The Data Center under your Desk - How Disruptive is Modern Hardware for DB System Design? (WL), pp. 2018–2019.
VLDB-2017-Milo: 7 Secrets That My Mother Didn't Tell Me (TM), p. 2020.
VLDB-2017-LvJWCL: Intelligent Probing for Locality Sensitive Hashing: Multi-Probe LSH and Beyond (QL, WJ, ZW, MC, KL0), pp. 2021–2024.
VLDB-2017-QinGB: Scalable Replay-Based Replication For Fast Databases (DQ, AG, ADB), pp. 2025–2036.
VLDB-2017-RenZAG: SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data (KR0, QZ, JA, GG), pp. 2037–2048.
VLDB-2017-AbdelazizHKK: A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data (IA, RH, ZK, PK), pp. 2049–2060.
VLDB-2017-KunftKSRM: BlockJoin: Efficient Matrix Partitioning Through Joins (AK, AK, SS, TR, VM), pp. 2061–2072.
VLDB-2017-ChoiPH: Efficient Mining of Regional Movement Patterns in Semantic Trajectories (DWC, JP, TH), pp. 2073–2084.
VLDB-2017-KieferHBM: Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models (MK, MH, SB, VM), pp. 2085–2096.

Proceedings of the 43rd International Conference on Very Large Data BasesVLDB-2017, 2017.

Contents (207 items)

Proceedings of the 43rd International Conference on Very Large Data Bases
VLDB-2017, 2017.