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

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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