PVLDB Vol. 11, 2018 No. 6 — No. 8

This volume has several interesting papers around data platforms for stream data processing, workflow optimization, etc.

Proceedings of the VLDB Endowment, Vol. 11

Volume 11, №6, February 2018

• Sihem Amer-Yahia and Jian Pei:
  Front Matter. i — vi.
• Jignesh Patel, Harshad Deshmukh, Jianqiao Zhu, Navneet Potti, Zuyu Zhang, Marc Spehlmann, Hakan Memisoglu, Saket Saurabh:
  Quickstep: A Data Platform Based on the Scaling-Up Approach. 663–676.
• Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
  Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes. 677–690.
• Khaled Ammar, Frank Mcsherry, Semih Salihoglu, Manas Joglekar:
  Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows. 691–704.
• Teng Li, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
  Model-free Control for Distributed Stream Data Processing using Deep Reinforcement Learning. 705–718.
• Fotis Psallidas, Eugene Wu:
  Smoke: Fine-grained Lineage at Interactive Speed. 719–732.

Volume 11, №7, March 2018

• Sihem Amer-Yahia and Jian Pei:
  Front Matter. i — vi.
• Muhammad Idris, Martín Ugarte, Stijn Vansummeren, Hannes Voigt, Wolfgang Lehner:
  Conjunctive Queries with Inequalities Under Updates. 733–745.
• Zhicheng Yin, Jin Sun, Ming Li, Jaliya Ekanayake, Haibo Lin, Marc Friedman, Jose Blakeley, Clemens Szyperski, Nikhil Devanur:
  Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale. 746–758.
• Sebastian Kruse, Felix Naumann:
  Efficient Discovery of Approximate Dependencies. 759–772.
• Yue Wang, Alexandra Meliou, Gerome Miklau:
  RC-Index: Diversifying Answers to Range Queries. 773–786.
• Xin Ding, Lu Chen, Yunjun Gao, Christian Jensen, Hujun Bao:
  UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics. 787–799.
• Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel:
  Selecting Subexpressions to Materialize at Datacenter Scale. 800–812.
• Fatemeh Nargesian, Erkang Zhu, Ken Pu, Renée Miller:
  Table Union Search on Open Data. 813–825.
• Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu:
  Scalable Training of Hierarchical Topic Models. 826–839.

Volume 11, №8, April 2018

• Sihem Amer-Yahia and Jian Pei:
  Front Matter. i — vi
• Mustafa Coşkun, Ananth Grama, Mehmet Koyutürk:
  Indexed Fast Network Proximity Querying. 840–852.
• Libin Zheng, Lei Chen, Jieping Ye:
  Order Dispatch in Price-aware Ridesharing. 853–865.
• Kyriakos Mouratidis, Bo Tang:
  Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings. 866–879.
• Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
  Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. 880–892.
• Qingchao Cai, Zhongle Xie, Gang Chen, H. Jagadish, Beng Chin Ooi, Meihui Zhang:
  Effective Temporal Dependence Discovery in Time Series Data. 893–905.
• Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya:
  HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. 906–919.
• Yousuf Ahmad, Omar Khattab, Arsal Malik, Ahmad Musleh, Mohammad Hammoud, Mucahid Kutlu, Mostafa Shehata, Tamer Elsayed:
  LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System. 920–933.