Proceedings of the VLDB Endowment, Volume 14, 2020-2021

• Editors-in-Chief: Xin Luna Dong and Felix Naumann
• Publication Editors: Thorsten Papenbrock and Hannes Mühleisen
• Associate Editors: Alon Halevy, Anastasia Ailamaki, Angela Bonifati, Arun Kumar, Ashraf Aboulnaga, Eugene Wu, Floris Geerts, Graham Cormode, Jeffrey Xu Yu, Jiannan Wang, Jingren Zhou, Jorge Arnulfo Quiane Ruiz, Juliana Freire, Jun Yang, Martin Theobald, Nesime Tatbul, Paolo Papotti, Rainer Gemulla, Stefan Manegold, Stratos Idreos, Surajit Chaudhuri, Xuemin Lin, Yi Chen, Yufei Tao, Zachary Ives, Zhifeng Bao
• Review Board: see full list

Volume 14, No. 1, September 2020

• Xin Luna Dong and Felix Naumann:
  Front Matter. i - vi
• Ryan Marcus, Andreas Kipf, Alexander Van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
  Benchmarking Learned Indexes. 1 - 13.
• Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
  Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. 14 - 27.
• Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Whang:
  Inspector Gadget: A Data Programming-based Labeling System for Industrial Images. 28 - 36.
• Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
  Scaling Attributed Network Embedding to Massive Graphs. 37 - 49.
• Yuliang Li, Jinfeng Li, Yoshihiko Suhara, Anhai Doan, Wang-Chiew Tan:
  Deep Entity Matching with Pre-Trained Language Models. 50 - 60.
• Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Peter Chen, Ion Stoica:
  NeuroCard: One Cardinality Estimator for All Tables. 61 - 73.

Volume 14, No. 2, October 2020

• Yufei Tao:
  Front Matter. i - vi
• Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
  Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. 74 - 86.
• Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia:
  Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics. 87 - 100.
• Prashanth Menon, Amadou Ngom, Todd Mowry, Andrew Pavlo, Lin Ma:
  Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling. 101 - 113.
• Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu:
  EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. 114 - 127.
• Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:
  On-Off Sketch: A Fast and Accurate Sketch on Persistence. 128 - 140.
• Luan Tran, Min Mun, Cyrus Shahabi:
  Real-Time Distance-Based Outlier Detection in Data Streams. 141 - 153.
• Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu:
  Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. 154 - 162.
• Sheng Wang, Yuan Sun, Zhifeng Bao:
  On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. 163 - 175.
• Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He:
  RapidMatch: A Holistic Approach to Subgraph Query Processing. 176 - 188.
• Yu Xia, Xiangyao Yu, Andrew Pavlo, Srinivas Devadas:
  Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems. 189 - 201.
• Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
  Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs. 202 - 214.
• Shuang Wang, Hakan Ferhatosmanoglu:
  PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories. 215 - 227.
• Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy:
  Aggregated Deletion Propagation for Counting Conjunctive Query Answers. 228 - 240.

Volume 14, No. 3, November 2020

• Anastasia Ailamaki:
  Front Matter. i - vi
• Chen Luo, Michael Carey:
  Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems. 241 - 254.
• Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
  Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. 255 - 267.
• Peter Alvaro, Kyle Kingsbury:
  Elle: Inferring Isolation Anomalies from Experimental Observations. 268 - 280.
• Martin Kiefer, Ilias Poulakis, Sebastian Bress, Volker Markl:
  Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. 281 - 293.
• Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudre-Mauroux:
  ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams. 294 - 306.
• Xiang Deng, Huan Sun, Alyssa Lees, You Wu, Cong Yu:
  TURL: Table Understanding through Representation Learning. 307 - 319.
• Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
  EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. 320 - 328.
• Yiming Lin, Daokun Jiang, Roberto Yus, Georgios Bouloukakis, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian:
  LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization. 329 - 341.
• Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong:
  Multi-Modal Transportation Recommendation with Unified Route Representation Learning. 342 - 350.
• Yue Wang, Ruiqi Xu, Zonghao Feng, Yulin Che, Lei Chen, Qiong Luo, Rui Mao:
  DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee. 351 - 363.
• Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
  Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. 364 - 377.
• Jianyu Yang, Tianhao Wang, Ninghui Li, Xiang Cheng, Sen Su:
  Answering Multi-Dimensional Range Queries under Local Differential Privacy. 378 - 390.
• Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano:
  Ananke: A Streaming Framework for Live Forward Provenance. 391 - 403.
• Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna, César De Rose:
  RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. 404 - 417.
• Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeff Naughton, Stratis Viglas:
  Comprehensive and Efficient Workload Compression. 418 - 430.
• Yongjun He, Jiacheng Lu, Tianzheng Wang:
  CoroBase: Coroutine-Oriented Main-Memory Database Engine. 431 - 444.
• Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha:
  Scalable Querying of Nested Data. 445 - 457.

Volume 14, No. 4, December 2020

• Angela Bonifati and Jorge-Arnulfo Quiané-Ruiz:
  Front Matter. i - vi
• Long Gong, Ziheng Liu, Liang Liu, Jun Xu, Mitsunori Ogihara, Tong Yang:
  Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS). 458 - 470.
• Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
  Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. 471 - 484.
• Nan Zheng, Zack Ives:
  Compact, Tamper-Resistant Archival of Fine-Grained Provenance. 485 - 497.
• Ingo Müller, Ghislain Fourny, Stefan Irimescu, Can Cikis, Gustavo Alonso:
  Rumble: Data Independence for Large Messy Data Sets. 498 - 506.
• Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone:
  Capturing and querying fine-grained provenance of preprocessing pipelines in data science. 507 - 520.
• Victor Farias, Felipe Brito, Cheryl Flynn, Javam Machado, Subhabrata Majumdar, Divesh Srivastava:
  Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. 521 - 533.
• Tianyu Li, Matthew Butrovich, Amadou Ngom, Wan Shen Lim, Wes Mckinney, Andrew Pavlo:
  Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats. 534 - 546.
• Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu:
  Accelerating Exact Constrained Shortest Paths on GPUs. 547 - 559.
• Songsong Mo, Zhifeng Bao, Ping Zhang, Zhiyong Peng:
  Towards an Efficient Weighted Random Walk Domination. 560 - 572.
• Guimu Guo, Da Yan, Tamer Özsu, Zhe Jiang, Jalal Khalil:
  Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. 573 - 585.
• Eleftherios Kokoris Kogias, Enis Ceyhun Alp, Linus Gasser, Philipp Jovanovic, Ewa Syta, Bryan Ford:
  CALYPSO: Private Data Management for Decentralized Ledgers. 586 - 599.
• Brian Hentschel, Stratos Idreos, Kyle Deeds:
  Stacked Filters: Learning to Filter by Structure. 600 - 612.
• Prithu Banerjee, Laks V.s. Lakshmanan, Wei Chen:
  Maximizing Social Welfare in a Competitive Diffusion Model. 613 - 625.
• Shashank Gugnani, Arjun Kashyap, Xiaoyi Lu:
  Understanding the Idiosyncrasies of Real Persistent Memory. 626 - 639.
• Abraham Gale, Amelie Marian:
  Explaining Ranking Functions. 640 - 652.
• Laxman Dhulipala, Changwan Hong, Julian Shun:
  ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms. 653 - 667.
• Wissam Mammar Kouadri, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, Iheb Benamor:
  Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. 668 - 681.
• Rolando Garcia, Erick Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph Hellerstein, Koushik Sen:
  Hindsight Logging for Model Training. 682 - 693.
• Lin Jiang, Junqiao Qiu, Zhijia Zhao:
  Scalable Structural Index Construction for JSON Analytics. 694 - 707.
• Ran Rui, Hao Li, Yi-Cheng Tu:
  Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment. 708 - 720.

Volume 14, No. 5, January 2021

• Ashraf Aboulnaga:
  Front Matter.
• Yan Shuyuan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
  FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. 721 - 729.
• Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
  Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. 730 - 742.
• Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden:
  Epoch-based Commit and Replication in Distributed OLTP Databases. 743 - 756.
• Zhe Lin, Fan Zhang, Xuemin Lin, Wenjie Zhang, Zhihong Tian:
  Hierarchical Core Maintenance on Large Dynamic Graphs. 757 - 770.
• Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram:
  Analyzing and Mitigating Data Stalls in DNN Training. 771 - 784.
• Daokun Hu, Zhiwen Chen, Jianbing Wu, Jianhua Sun, Hao Chen:
  Persistent Memory Hash Indexes: An Experimental Evaluation. 785 - 798.
• Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff:
  Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. 799 - 812.
• Arif Usta, Akifhan Karakayalı, Özgür Ulusoy:
  DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks. 813 - 821.
• Ritesh Sarkhel, Arnab Nandi:
  Improving Information Extraction from Visually Rich Documents using Visual Span Representations. 822 - 834.
• Gang Liu, Leying Chen, Shimin Chen:
  Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory. 835 - 848.
• Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang Ye, Jinyuan Sun:
  Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. 849 - 862.

Volume 14, No. 6, February 2021

• Hannes Mühleisen and Thorsten Papenbrock:
  Front Matter.
• Supun Nakandala, Yuhao Zhang, Arun Kumar:
  Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection". 863 - 863.
• Lujia Yin, Yiming Zhang, Zhaoning Zhang, Yuxing Peng, Peng Zhao:
  ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs. 864 - 877.
• Walter Cai, Philip Bernstein, Wentao Wu, Badrish Chandramouli:
  Optimization of Threshold Functions over Streams. 878 - 889.
• Xuliang Zhu, Xin Huang, Byron Choi, Jiaxin Jiang, Zhaonian Zou, Jianliang Xu:
  Budget Constrained Interactive Search for Multiple Targets. 890 - 902.
• Yangjun Chen, Hoang Hai Nguyen:
  On the String Matching with k Differences in DNA Databases. 903 - 915.
• Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda:
  Fast Algorithm for Anchor Graph Hashing. 916 - 928.
• Wangda Zhang, Junyoung Kim, Kenneth Ross, Eric Sedlar, Lukas Stadler:
  Adaptive Code Generation for Data-Intensive Analytics. 929 - 942.
• Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani:
  Materializing Knowledge Bases via Trigger Graphs. 943 - 956.
• Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
  Dealer: An End-to-End Model Marketplace with Differential Privacy. 957 - 969.
• Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya Parameswaran:
  NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. 970 - 983.
• Yixing Yang, Yixiang Fang, Maria Orlowska, Wenjie Zhang, Xuemin Lin:
  Efficient Bi-triangle Counting for Large Bipartite Networks. 984 - 996.
• Sandeep Tata, Navneet Potti, James Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel:
  Glean: Structured Extractions from Templatic Documents. 997 - 1005.
• Jun Gao, Jiazun Chen, Zhao Li, Ji Zhang:
  ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. 1006 - 1018.
• Yuanyuan Sun, Sheng Wang, Huorong Li, Feifei Li:
  Building Enclave-Native Storage Engines for Practical Encrypted Databases. 1019 - 1032.
• James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy:
  From Natural Language Processing to Neural Databases. 1033 - 1039.
• Haibo Wang, Chaoyi Ma, Olufemi O Odegbile, Shigang Chen, Jih-kwon Peir:
  Randomized Error Removal for Online Spread Estimation in Data Streaming. 1040 - 1052.
• Dean De Leo, Peter Boncz:
  Teseo and the Analysis of Structural Dynamic Graphs. 1053 - 1066.
• Tim Gubner, Peter Boncz:
  Charting the Design Space of Query Execution using VOILA. 1067 - 1079.
• Zhiqi Wang, Jin Xue, Zili Shao:
  Heracles: An Efficient Storage Model And Data Flushing For Performance Monitoring Timeseries. 1080 - 1092.
• Stephen Macke, Aditya Parameswaran, Hongpu Gong, Doris Lee, Doris Xin, Andrew Head:
  Fine-Grained Lineage for Safer Notebook Interactions. 1093 - 1101.
• Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan Oseledets, Emmanuel Müller:
  FREDE: Anytime Graph Embeddings. 1102 - 1110.
• Xiaodong Li, Reynold Cheng, Kevin Chen-chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao:
  On Analyzing Graphs with Motif-Paths. 1111 - 1123.

Volume 14, No. 7, March 2021

• Arun Kumar, Alon Halevy, and Nesime Tatbul:
  Front Matter.
• Dimitris Tsaras, George Trimponias, Lefteris Ntaflos, Dimitris Papadias:
  Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model. 1124 - 1136.
• Yahui Sun, Xiaokui Xiao, Bin Cui, Saman Halgamuge, Theodoros Lappas, Jun Luo:
  Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. 1137 - 1149.
• Tenindra Abeywickrama, Victor Liang, Kian-lee Tan:
  Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation. 1150 - 1158.
• Immanuel Trummer:
  The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual". 1159 - 1165.
• Sujaya Maiyya, Faisal Nawab, Divy Agrawal, Amr El Abbadi:
  Errata for "Unifying Consensus and Atomic Commitment for Effective Cloud Data Management". 1166 - 1166.
• Zsolt István, Soujanya Ponnapalli, Vijay Chidambaram:
  Software-Defined Data Protection: Low Overhead Policy Compliance at the Storage Layer is Within Reach!. 1167 - 1174.
• Tianyi Li, Lu Chen, Christian Jensen, Torben Bach Pedersen:
  TRACE: Real-time Compression of Streaming Trajectories in Road Networks. 1175 - 1187.
• Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi:
  Shortest Paths and Centrality in Uncertain Networks. 1188 - 1201.
• Tongyu Liu, Ju Fan, Yinqing Luo, Nan Tang, Guoliang Li, Xiaoyong Du:
  Adaptive Data Augmentation for Supervised Learning over Missing Data. 1202 - 1214.
• Fuheng Zhao, Sujaya Maiyya, Ryan Weiner, Divy Agrawal, Amr El Abbadi:
  KLL±: Approximate Quantile Sketches over Dynamic Datasets. 1215 - 1227.
• Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine:
  Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. 1228 - 1240.
• Dana Van Aken, Dongsheng Yang, Sebastien Brillard, Ari Fiorino, Bohan Zhang, Christian Billian, Andrew Pavlo:
  An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems. 1241 - 1253.

Volume 14, No. 8, April 2021

• Floris Geerts:
  Front Matter.
• Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Samuel Madden, Mourad Ouzzani:
  RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation. 1254 - 1261.
• Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
  Lachesis: Automated Partitioning for UDF-Centric Analytics (Revision of Paper 270). 1262 - 1275.
• Jiacheng Wu, Yong Zhang, Shimin Chen, Yu Chen, Jin Wang, Chunxiao Xing:
  Updatable Learned Index with Precise Positions. 1276 - 1288.
• Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, Yunjun Gao:
  MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data. 1289 - 1297.
• Seunghwan Min, Sung Gwan Park, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-shin Han:
  Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming. 1298 - 1310.
• Tomoya Suzuki, Kazuhiro Hiwada, Hirotsugu Kajihara, Shintaro Sano, Shuou Nomura, Tatsuo Shiozawa:
  Approaching DRAM performance by using microsecond-latency flash memory for small-sized random read accesses: a new access method and its graph applications. 1311 - 1324.
• Abdelghny Orogat, Isabelle Liu, Ahmed El-roby:
  CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs. 1325 - 1337.
• Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
  Tensor Relational Algebra for Distributed Machine Learning System Design. 1338 - 1350.
• Wenfei Fan, Chao Tian, Yanghao Wang, Qiang Yin:
  Parallel Discrepancy Detection and Incremental Detection. 1351 - 1364.
• Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou:
  Towards Crowd-aware Indoor Path Planning. 1365 - 1377.
• Surabhi Gupta, Karthik Ramachandra:
  Procedural Extensions of SQL: Understanding their usage in the wild. 1378 - 1391.
• Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha:
  Discovering Related Data At Scale. 1392 - 1400.
• Stefano Cereda, Stefano Valladares, Paolo Cremonesi, Stefano Doni:
  CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions. 1401 - 1413.
• Filippo Schiavio, Daniele Bonetta, Walter Binder:
  Language-Agnostic Integrated Queries in a Managed Polyglot Runtime. 1414 - 1426.
• Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman:
  Achieving High Throughput and Elasticity in a Larger-than-Memory Store. 1427 - 1440.
• Kai Yao, Lijun Chang:
  Efficient Size-Bounded Community Search over Large Networks. 1441 - 1453.

Volume 14, No. 9, May 2021

• Rainer Gemulla:
  Front Matter.
• Jianwen Zhao, Yufei Tao:
  Minimum Vertex Augmentation. 1454 - 1466.
• Kevin P Gaffney, Robert K Claus, Jignesh Patel:
  Database Isolation By Scheduling. 1467 - 1480.
• Jong-hyeok Park, Soyee Choi, Gihwan Oh, Sang Won Lee:
  SaS: SSD as SQL Database System. 1481 - 1488.
• Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
  FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. 1489 - 1502.
• Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng:
  Fast Augmentation Algorithms for Network Kernel Density Visualization. 1503 - 1516.
• Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu:
  AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. 1517 - 1530.
• Qing Liu, Xuliang Zhu, Xin Huang, Jianliang Xu:
  Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs. 1531 - 1543.
• Lawrence Benson, Hendrik Makait, Tilmann Rabl:
  Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. 1544 - 1556.
• Sepanta Zeighami, Cyrus Shahabi, John Krumm:
  Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling. 1557 - 1569.
• Herodotos Herodotou, Elena Kakoulli:
  Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms. 1570 - 1582.
• Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
  Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. 1583 - 1596.
• Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K Prasanna:
  Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. 1597 - 1605.
• Viktor Leis, Maximilian Kuschewski:
  Towards Cost-Optimal Query Processing in the Cloud. 1606 - 1612.
• Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou:
  Automating Incremental Graph Processing with Flexible Memoization. 1613 - 1625.
• Theo Jepsen, Alberto Lerner, Fernando Pedone, Robert Soule, Philippe Cudre-mauroux:
  In-Network Support for Transaction Triaging. 1626 - 1639.
• Xiaoying Wang, Changbo Qu, Weiyuan Wu, Jiannan Wang, Qingqing Zhou:
  Are We Ready For Learned Cardinality Estimation?. 1640 - 1654.
• Jakub Lemiesz:
  On the algebra of data sketches. 1655 - 1667.
• Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei:
  Massively Parallel Algorithms for Personalized PageRank. 1668 - 1680.
• Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu:
  GeCo: Quality Counterfactual Explanations in Real Time. 1681 - 1693.
• Ricardo Salazar, Felix Neutatz, Ziawasch Abedjan:
  Automated Feature Engineering for Algorithmic Fairness. 1694 - 1702.

Volume 14, No. 10, Jun 2021

• Stefan Manegold:
  Front Matter.
• Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
  How to Design Robust Algorithms using Noisy Comparison Oracle. 1703 - 1716.
• Paul Boniol, John Paparrizos, Themis Palpanas, Michael Franklin:
  SAND: Streaming Subsequence Anomaly Detection. 1717 - 1729.
• Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer:
  Optimizing Fitness-For-Use of Differentially Private Linear Queries. 1730 - 1742.
• Xinle Cao, Jian Liu, Hao Lu, Kui Ren:
  Cryptanalysis of An Encrypted Database in SIGMOD '14. 1743 - 1755.
• Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
  Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. 1756 - 1768.
• Yuhao Zhang, Frank Mcquillan, Nandish Jayaram, Nikhil Kak, Ekta Khanna, Orhan Kislal, Domino Valdano, Arun Kumar:
  Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches. 1769 - 1782.
• Siyuan Sheng, Qun Huang, Sa Wang, Yungang Bao:
  PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy. 1783 - 1796.
• Dimitrios Koutsoukos, Supun C Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi:
  Tensors: An abstraction for general data processing. 1797 - 1804.
• David A Pujol, Yikai Wu, Brandon T Fain, Ashwin Machanavajjhala:
  Budget Sharing for Multi-Analyst Differential Privacy. 1805 - 1817.
• Rudi Poepsel-lemaitre, Martin Kiefer, Joscha Von Hein, Jorge Arnulfo Quiane Ruiz, Volker Markl:
  In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All. 1818 - 1831.
• Yifan Li, Xiaohui Yu, Nick Koudas:
  Data Acquisition for Improving Machine Learning Models. 1832 - 1844.
• Xiaoshuang Chen, Kai Wang, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang:
  Efficiently Answering Reachability and Path Queries on Temporal Bipartite Graphs. 1845 - 1858.
• Paolo Ciaccia, Davide Martinenghi, Riccardo Torlone:
  Preference Queries over Taxonomic Domains. 1859 - 1871.
• Baoyue Yan, Xuntao Cheng, Bo Jiang, Shibin Chen, Canfang Shang, Jianying Wang, Kenry Huang, Xinjun Yang, Wei Cao, Feifei Li:
  Revisiting the Design of LSM-tree Based OLTP Storage Engine with Persistent Memory. 1872 - 1885.
• Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F Ilyas:
  Kamino: Constraint-Aware Differentially Private Data Synthesis. 1886 - 1899.
• Yingqiang Zhang, Chaoyi Ruan, Cheng Li, Jimmy Yang, Wei Cao, Feifei Li, Bo Wang, Jing Fang, Yuhui Wang, Jingze Huo, Chao Bi:
  Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation. 1900 - 1912.
• Ralph Peeters, Christian Bizer:
  Dual-Objective Fine-Tuning of BERT for Entity Matching. 1913 - 1921.

Volume 14, No. 11, Jul 2021

• Stratos Idreos and Zack Ives:
  Front Matter.
• Maciej Besta, Zur Vonarburg-shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beranek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Özdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Marek Konieczny, Onur Mutlu, Torsten Hoefler:
  GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. 1922 - 1936.
• Keita Takenouchi, Takashi Ishio, Joji Okada, Yuji Sakata:
  PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns. 1937 - 1949.
• Jie Liu, Wenqian Dong, Dong Li, Qingqing Zhou:
  Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation. 1950 - 1963.
• Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang:
  A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search. 1964 - 1978.
• Zifeng Yuan, Huey Eng Chua, Sourav S Bhowmick, Zekun Ye, Wook-shin Han, Byron Choi:
  Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks. 1979 - 1991.
• Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li:
  ThunderRW: An In-Memory Graph Random Walk Engine. 1992 - 2005.
• Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong:
  Butterfly-Core Community Search over Labeled Graphs. 2006 - 2018.
• Parimarjan Negi, Ryan C Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
  Flow-Loss: Learning Cardinality Estimates That Matter. 2019 - 2032.
• Michael R Yu, Dong Wen, Lu Qin, Ying Zhang, Wenjie Zhang, Xuemin Lin:
  On Querying Historical K-Cores. 2033 - 2045.
• Graham Cormode, Sam Maddock, Carsten Maple:
  Frequency Estimation under Local Differential Privacy. 2046 - 2058.
• Fatjon Zogaj, Jose P Cambronero Sanchez, Martin Rinard, Jürgen Cito:
  Doing More with Less: Characterizing Dataset Downsampling for AutoML. 2059 - 2072.
• Yifan Li, Xiaohui Yu, Nick Koudas:
  LES3: Learning-based exact set similarity search. 2073 - 2086.
• Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu:
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. 2087 - 2100.
• Yifei Yang, Matt Youill, Matthew Woicik, Yizhou Liu, Xiangyao Yu, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker:
  FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS. 2101 - 2113.
• Zhiwei Chen, Shaoxu Song, Ziheng Wei, Jingyun Fang, Jiang Long:
  Approximating Median Absolute Deviation with Bounded Error. 2114 - 2126.
• Mengxuan Zhang, Lei Li, Xiaofang Zhou:
  An Experimental Evaluation and Guideline for Path Finding in Weighted Dynamic Network. 2127 - 2140.
• Brecht Vandevoort, Bas Ketsman, Christoph Koch, Frank Neven:
  Robustness against Read Committed for Transaction Templates. 2141 - 2153.
• Huayi Zhang, Lei Cao, Samuel Madden, Elke A Rundensteiner:
  LANCET: Labeling Complex Data at Scale. 2154 - 2166.
• Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
  VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. 2167 - 2176.
• Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng:
  A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing. 2177 - 2189.
• Kuntai Cai, Xiaoyu Lei, Jianxin Wei, Xiaokui Xiao:
  Data Synthesis via Differentially Private Markov Random Field. 2190 - 2202.
• Michael J Whittaker, Ailidani Ailidani, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
  Scaling Replicated State Machines with Compartmentalization. 2203 - 2215.
• Subhadeep Sarkar, Dimitris Staratzis, Zichen Zhu, Manos Athanassoulis:
  Constructing and Analyzing the LSM Compaction Design Space. 2216 - 2229.
• Jelle Hellings, Mohammad Sadoghi:
  ByShard: Sharding in a Byzantine Environment. 2230 - 2243.
• Otmar Ertl:
  SetSketch: Filling the Gap between MinHash and HyperLogLog. 2244 - 2257.
• Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding:
  CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. 2258 - 2270.
• Dean De Leo, Per Fuchs, Peter Boncz:
  Errata for "Teseo and the Analysis of Structural Dynamic Graph". 2271 - 2272.
• Mashaal Musleh, Sofiane Abbar, Rade Stanojevic, Mohamed Mokbel:
  QARTA: An ML-based System for Accurate Map Services. 2273 - 2282.
• Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
  Real-World Trajectory Sharing with Local Differential Privacy. 2283 - 2295.
• Phanwadee Sinthong, Michael Carey:
  PolyFrame: A Retargetable Query-based Approach to Scaling Dataframes. 2296 - 2304.
• Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Łącki, Vahab Mirrokni:
  Scalable Community Detection via Parallel Correlation Clustering. 2305 - 2313.
• Cheng Xu, Ce Zhang, Jianliang Xu, Jian Pei:
  SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing. 2314 - 2326.
• Side Li, Arun Kumar:
  Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning. 2327 - 2340.
• Daniel Kang, John Guibas, Peter D Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
  Accelerating Approximate Aggregation Queries with Expensive Predicates. 2341 - 2354.
• Tobias Schmidt, Maximilian Bandle, Jana Giceva:
  A four-dimensional Analysis of Partitioned Approximate Filters. 2355 - 2368.
• Monica Chiosa, Thomas Preußer, Gustavo Alonso:
  SKT: A One-Pass Multi-Sketch Data Analytics Accelerator. 2369 - 2382.
• Philipp Fent, Thomas Neumann:
  A Practical Approach to Groupjoin and Nested Aggregates. 2383 - 2396.
• Ziyun Wei, Immanuel Trummer, Connor Anderson:
  Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. 2397 - 2409.
• Yinjun Wu, James Weimer, Susan B Davidson:
  CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties. 2410 - 2418.
• Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya:
  COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. 2419 - 2431.
• Dominik Durner, Badrish Chandramouli, Yinan Li:
  Crystal: A Unified Cache Storage System for Analytical Databases. 2432 - 2444.
• Valerio Cetorelli, Paolo Atzeni, Valter Crescenzi, Franco Milicchio:
  The Smallest Extraction Problem. 2445 - 2458.
• Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn M Fung, Anhai Doan:
  Deep Learning for Blocking in Entity Matching: A Design Space Exploration. 2459 - 2472.
• Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
  Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. 2473 - 2482.
• Maximilian Bandle, Jana Giceva:
  Database Technology for the Masses: Sub-Operators as First-Class Entities. 2483 - 2490.
• Pranjal Gupta, Amine Mhedhbi, Semih Salihoglu:
  Columnar Storage and List-based Processing for Graph Database Management Systems. 2491 - 2504.
• Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
  Phoebe: A Learning-based Checkpoint Optimizer. 2505 - 2518.
• Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
  Tailoring Data Source Distributions for Fairness-aware Data Integration. 2519 - 2532.
• Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi:
  Missing Value Imputation on Multidimensional Time Series. 2533 - 2545.
• El Kindi Rezig, Mourad Ouzzani, Walid G. Aref, Ahmed Elmagarmid, Ahmed Mahmood, Michael Stonebraker:
  Horizon: Scalable Dependency-driven Data Cleaning. 2546 - 2554.
• Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan:
  Declarative Data Serving: The Future of Machine Learning Inference on the Edge. 2555 - 2562.
• Junwen Yang, Yeye He, Surajit Chaudhuri:
  Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. 2563 - 2575.
• Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu:
  Explaining Inference Queries with Bayesian Optimization. 2576 - 2585.
• Chunwei Liu, Hao Jiang, John Paparrizos, Aaron J Elmore:
  Decomposed Bounded Floats for Fast Compression and Queries. 2586 - 2598.
• Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald:
  Beyond Equi-joins: Ranking, Enumeration and Factorization. 2599 - 2612.
• Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul:
  Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series. 2613 - 2626.
• Michael Kuchnik, George Amvrosiadis, Virginia Smith:
  Progressive Compressed Records: Taking a Byte out of Deep Learning Data. 2627 - 2641.
• Abdulrahman Alsaudi, Yasser Altowim, Sharad Mehrotra, Yaming Yu:
  TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs. 2642 - 2654.

Volume 14, No. 12, Aug 2021

• Xin Luna Dong and Felix Naumann:
  Front Matter.

Demonstrations

• Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng:
  KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. 2655 - 2658.
• Zhebin Zhang, Dajie Dong, Yuhang Ma, Yilong Ying, Dawei Jiang, Ke Chen, Lidan Shou, Gang Chen:
  Refiner: A Reliable Incentive-Driven Federated Learning System Powered by Blockchain. 2659 - 2662.
• Valter Uotila, Jiaheng Lu, Dieter Gawlick, Zhen Hua Liu, Souripriya Das, Gregory Pogossiants:
  MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming. 2663 - 2666.
• Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan:
  Cquirrel: Continuous Query Processing over Acyclic Relational Schemas. 2667 - 2670.
• Yuetian Mao, Shuai Yuan, Nan Cui, Tianjiao Du, Beijun Shen, Yuting Chen:
  DeFiHap: Detecting and Fixing HiveQL Anti-Patterns. 2671 - 2674.
• Ahmed Helal, Mossad Helali, Khaled Ammar, Essam Mansour:
  A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science. 2675 - 2678.
• Pierre Faure-giovagnoli, Marie Le Guilly, Vasile-marian Scuturici, Jean-marc Petit:
  Assessing the Existence of a Model in your Data with ADESIT. 2679 - 2682.
• Yinzhao Yan, Raymond Chi-wing Wong:
  Path Advisor: A Multi-Functional Campus Map Tool for Shortest Path. 2683 - 2686.
• Liangde Li, Supun C Nakandala, Arun Kumar:
  Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration. 2687 - 2690.
• Henning Funke, Jens Teubner:
  Low-Latency Compilation of SQL Queries to Machine Code. 2691 - 2694.
• Sven Groppe, Rico Klinckenberg, Benjamin Warnke:
  Sound of Databases: Sonification of a Semantic Web Database Engine. 2695 - 2698.
• Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
  HyMAC: A Hybrid Matrix Computation System. 2699 - 2702.
• Jingbo Xu, Zhanning Bai, Wenfei Fan, Longbin Lai, Xue Li, Zhao Li, Zhengping Qian, Lei Wang, Yanyan Wang, Wenyuan Yu, Jingren Zhou:
  GraphScope: A One-Stop Large Graph Processing System. 2703 - 2706.
• Alexander Renz-wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl:
  Just Move It! Dynamic Parameter Allocation in Action. 2707 - 2710.
• Abdelghny Orogat, Ahmed El-roby:
  CBench: Demonstrating Comprehensive Evaluation of Question Answering Systems over Knowledge Graphs Through Deep Analysis of Benchmarks. 2711 - 2714.
• Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
  PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. 2715 - 2718.
• Jinyang Li, Yuval Moskovitch, H. V. Jagadish:
  DENOUNCER: Detection of Unfairness in Classifiers. 2719 - 2722.
• Sofiane Abbar, Rade Stanojevic, Mashaal Musleh, Mohamed M Elshrif, Mohamed Mokbel:
  A Demonstration of QARTA: An ML-based System for Accurate Map Services. 2723 - 2726.
• Jaclyn Smith, Michael Benedikt, Brandon Moore, Milos Nikolic:
  TraNCE: Transforming Nested Collections Efficiently. 2727 - 2730.
• Ralf Diestelkämper, Seokki Lee, Boris Glavic, Melanie Herschel:
  Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. 2731 - 2734.
• Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
  Demonstration of Panda: A Weakly Supervised Entity Matching System. 2735 - 2738.
• Jiabin Liu, Fu Zhu, Chengliang Chai, Yuyu Luo, Nan Tang:
  Automatic Data Acquisition for Deep Learning. 2739 - 2742.
• Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, Kun Li, Luyang Liu:
  DBMind: A Self-Driving Platform in openGauss. 2743 - 2746.
• Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
  Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. 2747 - 2750.
• Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Shaoqing Zhang, Cheng Liang, Haoyun Tang:
  Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN. 2751 - 2754.
• Lei Cao, Dongqing Xiao, Yizhou Yan, Samuel Madden, Guoliang Li:
  ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee. 2755 - 2758.
• Anders Carlsson, Anze Xie, Jason M Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, Shivaram Venkataraman:
  Demo of Marius: A System for Large-scale Graph Embeddings. 2759 - 2762.
• Heiko Mueller, Sonia Castelo, Munaf A Qazi, Juliana Freire:
  From Papers to Practice: The openclean Open-Source Data Cleaning Library. 2763 - 2766.
• Vanessa Lin, Yongming Ge, Maureen Daum, Alvin Cheung, Brandon Haynes, Magdalena Balazinska:
  Demonstration of Apperception: A Database Management System for Geospatial Video Data. 2767 - 2770.
• Mary Karatzoglidi, Paraskevas Kerasiotis, Verena Kantere:
  Automated energy consumption forecasting with EnForce. 2771 - 2774.
• Myung-hwan Jang, Yong-yeon Jo, Sang-wook Kim:
  RealGraph-Web: A Graph Analysis Platform on the Web. 2775 - 2778.
• Arthita Ghosh, Arpit Narechania, Visweswara Sai Prashanth Dintyala, Su Timurturkan, Joy Arulraj, Deven Bansod:
  Interactive Demonstration of SQLCHECK. 2779 - 2782.
• Yiming Lin, Pramod Khargonekar, Sharad Mehrotra, Nalini Venkatasubramanian:
  T-Cove: An exposure tracing System based on Cleaning Wi-Fi Events on Organizational Premises. 2783 - 2786.
• Paul Y Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi:
  Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. 2787 - 2790.
• Sonia Castelo, Remi Rampin, Aécio Santos, Aline Bessa, Fernando Chirigati, Juliana Freire:
  Auctus: A Dataset Search Engine for Data Discovery and Augmentation. 2791 - 2794.
• Mohammed Suhail Rehman, Silu Huang, Aaron J Elmore:
  A Demonstration of Relic: A System for REtrospective Lineage InferenCe of Data Workflows. 2795 - 2798.
• Zhihao Chen, Haizhen Zhuo, Quanqing Xu, Xiaodong Qi, Chengyu Zhu, Zhao Zhang, Cheqing Jin, Aoying Zhou, Ying Yan, Hui Zhang:
  SChain: A Scalable Consortium Blockchain Exploiting Intra- and Inter-Block Concurrency. 2799 - 2802.
• Chrysovalantis Anastasiou, Constantinos Costa, Panos K. Chrysanthis, Cyrus Shahabi:
  EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting. 2803 - 2806.
• Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan:
  Wikinegata: a Knowledge Base with Interesting Negative Statements. 2807 - 2810.
• Liang Guo, Jinwei Zhu, Jiayang Liu, Kun Cheng:
  Full Encryption: An end to end encryption mechanism in GaussDB. 2811 - 2814.
• Antonis Mandamadiotis, Georgia Koutrika, Stavroula Eleftherakis, Apostolis Glenis, Dimitrios Skoutas, Yannis Stavrakas:
  DatAgent: The Imminent Age of Intelligent Data Assistants. 2815 - 2818.
• El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Vijay Gadepally, Michael Stonebraker:
  DICE: Data Discovery by Example. 2819 - 2822.
• Felix M Schuhknecht, Aaron Priesterroth, Justus Henneberg, Reza Salkhordeh:
  AnyOLAP: Analytical Processing of Arbitrary Data-Intensive Applications without ETL. 2823 - 2826.
• Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao, Nesime Tatbul:
  A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection. 2827 - 2830.
• Amir Shaikhha, Maximilian Schleich, Dan Olteanu:
  An Intermediate Representation for Hybrid Database and Machine Learning Workloads. 2831 - 2834.
• Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca De Alfaro:
  How Divergent Is Your Data?. 2835 - 2838.
• Auday Berro, Mohammad-ali Yaghub Zade Fard, Marcos Baez, Boualem Benatallah, Khalid Benabdeslem:
  An Extensible and Reusable Pipeline for Automated Utterance Paraphrases. 2839 - 2842.
• Kaustubh Beedkar, David Brekardin, Jorge Arnulfo Quiane Ruiz, Volker Markl:
  Compliant Geo-distributed Data Processing in Action. 2843 - 2846.
• Piyush Yadav, Dhaval Salwala, Felipe Pontes, Praneet Dhingra, Edward Curry:
  Query-Driven Video Event Processing for the Internet of Multimedia Things. 2847 - 2850.
• Nikolaos Koutroumanis, Kousathanas Nikolaos, Christos Doulkeridis, Akrivi Vlachou:
  A Demonstration of NoDA: Unified Access to NoSQL Stores. 2851 - 2854.
• Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li:
  AutoExecutor: Predictive Parallelism for Spark SQL Queries. 2855 - 2858.
• Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He:
  Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. 2859 - 2862.
• Paul Ouellette, Aidan Sciortino, Fatemeh Nargesian, Bahar Ghadiri Bashardoost, Erkang Zhu, Ken Pu, Renée J. Miller:
  RONIN: Data Lake Exploration. 2863 - 2866.
• Paul Boniol, John Paparrizos, Themis Palpanas, Michael Franklin:
  SAND in Action: Subsequence Anomaly Detection for Streams. 2867 - 2870.
• Christos Koutras, Kyriakos Psarakis, George Siachamis, Andra Ionescu, Marios Fragkoulis, Angela Bonifati, Asterios Katsifodimos:
  Valentine in Action: Matching Tabular Data at Scale. 2871 - 2874.
• Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu:
  GEDet: Detecting Erroneous Nodes with A Few Examples. 2875 - 2878.

Industrial and Applications

• Wenfei Fan, Tao He, Longbin Lai, Xue Li, Yong Li, Zhao Li, Zhengping Qian, Chao Tian, Lei Wang, Jingbo Xu, Youyang Yao, Qiang Yin, Wenyuan Yu, Kai Zeng, Kun Zhao, Jingren Zhou, Diwen Zhu, Rong Zhu:
  GraphScope: A Unified Engine For Big Graph Processing. 2879 - 2892.
• Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Philipp Eichmann, Navid Karimeddiny, Charlie Meyer, Wesley Runnels, Tim Kraska:
  Davos: A System for Interactive Data-Driven Decision Making. 2893 - 2905.
• Mengbai Xiao, An Qin, Yongwei Wu, Xinjie Huang, Xiaodong Zhang:
  Mixer: Efficiently Understanding and Retrieving Visual Content at Web-Scale. 2906 - 2917.
• David A Justo, Shaoqing Yi, Lukas Stadler, Nadia Polikarpova, Arun Kumar:
  Towards A Polyglot Framework for Factorized ML. 2918 - 2931.
• Niv Dayan, Yuval Rochman, Iddo Naiss, Shmuel Dashevsky, Noam Rabinovich, Edward Bortnikov, Igal Maly, Ofer Frishman, Itai Ben Zion, Avraham, Moshe Twitto, Uri Beitler, Evgeni Ginzburg, Mark Mokryn:
  The End of Moore's Law and the Rise of The Data Processor. 2932 - 2944.
• Derek Murray, Jiri Simsa, Ana Klimovic, Ihor Indyk:
  tf.data: A Machine Learning Data Processing Framework. 2945 - 2958.
• Mohamed Eltabakh, Anantha Subramanian, Awny Alomari, Mohammed Al-kateb, Sanjay Nair, Mahbub Hasan, Wellington Cabrera, Charles Zhang, Amit Kishore, Snigdha Prasad:
  Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage. 2959 - 2971.
• Yingda Chen, Jiamang Wang, Yifeng Lu, Ying Han, Zhiqiang Lv, Xuebin Min, Hua Cai, Wei Zhang, Haochuan Fan, Chao Li, Tao Guan, Wei Lin, Yangqing Jia, Jingren Zhou:
  Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. 2972 - 2985.
• Ankur Agiwal, Kevin Lai, Gokul Nath Babu Manoharan, Indrajit Roy, Jagan Sankaranarayanan, Hao Zhang, Tao Zou, Jim Chen, Min Chen, Ming Dai, Thanh Do, Haoyu Gao, Haoyan Geng, Raman Grover, Bo Huang, Yanlai Huang, Adam Li, Jianyi Liang, Tao Lin, Li Liu, Yao Liu, Xi Mao, Maya Meng, Prashant Mishra, Jay Patel, Rajesh Sr, Vijayshankar Raman, Sourashis Roy, Mayank Singh Shishodia, Tianhang Sun, Justin Tang, Jun Tatemura, Sagar Trehan, Ramkumar Vadali, Prasanna Venkatasubramanian, Joey Zhang, Kefei Zhang, Yupu Zhang, Zeleng Zhuang, Goetz Graefe, Divy Agrawal, Jeff Naughton, Sujata Kosalge, Hakan Hacigumus:
  Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google. 2986 - 2998.
• Rubao Lee, Minghong Zhou, Chi Li, Shenggang Hu, Jianping Teng, Dongyang Li, Xiaodong Zhang:
  The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product. 2999 - 3013.
• Audrey Cheng, Xiao Shi, Lu Pan, Anthony Simpson, Neil Wheaton, Shilpa Lawande, Nathan Bronson, Peter Bailis, Natacha Crooks, Ion Stoica:
  RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store. 3014 - 3027.
• Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li:
  openGauss: An Autonomous Database System. 3028 - 3041.
• Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Pouria Pirzadeh, Andrew Fogarty, Gurleen Dhody, Jiying Li, Vidip Acharya, Sinduja Ramanujam, Nico Bruno, Cesar Galindo-legaria, Vivek Narasayya, Surajit Chaudhuri, Anil Nori, Tomas Talius, Raghu Ramakrishnan:
  Hyperspace: The Indexing Subsystem of Azure Synapse. 3043 - 3055.
• Bolong Zheng, Lei Bi, Juan Cao, Hua Chai, Jun Fang, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S Jensen:
  SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search. 3056 - 3068.
• Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro:
  Railgun: managing large streaming windows under MAD requirements. 3069 - 3082.
• Pavan Edara, Mosha Pasumansky:
  Big Metadata : When Metadata is Big Data. 3083 - 3095.
• Joshua F Stoddard, Adam Mustafa, Naveen Goela:
  Tanium Reveal: A Federated Search Engine for Querying Unstructured File Data on Large Enterprise Networks. 3096 - 3109.
• Can Gencer, Marko Topolnik, Viliam Ďurina, Emin Demirci, Basri Kahveci, Ali Gürbüz, Jozsef Bartok, Grzegorz Gierlach, František Hartman, Ufuk Yilmaz, Ondřej Lukas, Mehmet Doğan, Mohamed Mandouh, Marios Fragkoulis, Asterios Katsifodimos:
  Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile. 3110 - 3121.
• Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain:
  SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft. 3122 - 3134.
• Edmon Begoli, Tyler Akidau, Slab=va Chernyak, Fabian Hueske, Kathryn Knight, Kenneth Knowles, Daniel Mills, Dan Sotolongo:
  Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow. 3135 - 3147.
• Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Josh Rowe, Fan Zhang, Rich Draves, Ivan Santa, Amrish Kumar:
  The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward. 3148 - 3161.
• Ippokratis Pandis:
  The evolution of Amazon Redshift. 3162 - 3163.
• Luis Remis, Chaunte W Lacewell:
  Using VDMS to Index and Search 100M Images. 3240 - 3252.

Tutorials

• Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek:
  On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases. 3175 - 3177.
• Laurel Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
  Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. 3178 - 3181.
• Yuliang Li, Xiaolan Wang, Zhengjie Miao, Wang-chiew Tan:
  Data Augmentation for ML-driven Data Preparation and Integration. 3182 - 3185.
• Ramon Antonio Rodriges Zalipynis:
  Array DBMS: Past, Present, and (Near) Future. 3186 - 3189.
• Guoliang Li, Xuanhe Zhou, Lei Cao:
  Machine Learning for Databases. 3190 - 3193.
• Saeed Kargar, Faisal Nawab:
  Extending the Lifetime of NVM: Challenges and Opportunities. 3194 - 3197.
• Karima Echihabi, Themis Palpanas, Kostas Zoumpatianos:
  New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed. 3198 - 3201.
• Alekh Jindal, Matteo Interlandi:
  Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward. 3202 - 3205.

Endowment Awards

• Susan Davidson:
  It’s not just Cookies and Tea. 3206 - 3206.
• Thomas Neumann:
  Evolution of a Compiling Query Engine. 3207 - 3210.
• Andy Pavlo:
  Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation. 3211 - 3221.

Keynotes

• Tim Kraska:
  Towards instance-optimized data systems. 3222 - 3232.
• Gerhard Weikum:
  Knowledge Graphs 2021: A Data Odyssey. 3233 - 3238.

Panel

• Zachary Ives:
  The future of data(base) education: Is the "cow book" dead?. 3239 - 3240.

Volume 14, No. 13, September 2021

• Yi Chen:
  Front Matter.
• Jian Liu, Kefei Wang, Feng Chen:
  TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads. 3253 - 3266.
• Huayi Wang, Jingfan Meng, Long Gong, Jun Xu, Mitsunori Ogihara:
  MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS-L_1. 3267 - 3280.
• Theofilos Mailis, Yannis Kotidis, Stamatis Christoforidis, Evgeny Kharlamov, Yannis Ioannidis:
  View Selection over Knowledge Graphs in Triple Stores. 3281 - 3294.
• Dongjie Li, Siyi Lv, Yanyu Huang, Yijing Liu, Tong Li, Zheli Liu, Liang Guo:
  Frequency-Hiding Order-Preserving Encryption with Small Client Storage. 3295 - 3307.
• Dimitrios Koutsoukos, Ingo Müller, Renato Marroquín, Ana Klimovic, Gustavo Alonso:
  Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms. 3308 - 3321.
• Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu:
  Time-Topology Analysis. 3322 - 3334.
• Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
  Quantifying identifiability to choose and audit epsilon in differentially private deep learning. 3335 - 3347.
• Rodrigo N Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski:
  Data Management in Microservices: State of the Practice, Challenges, and Research Directions. 3348 - 3361.
• H M Sajjad Hossain, Marc T Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal:
  PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!. 3362 - 3375.
• Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya:
  DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems. 3376 - 3388.
• Daniel Hernández, Luis Galárraga, Katja Hose:
  Computing How-Provenance for SPARQL Queries via Query Rewriting. 3389 - 3401.
• Junxiong Wang, Immanuel Trummer, Debabrota Basu:
  UDO: Universal Database Optimization using Reinforcement Learning. 3402 - 3414.

Scalable Data Science Invited Talks

• Anja Feldmann:
  Internet Traffic Analysis at Scale. 3415 - 3415.
• Danai Koutra:
  The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability. 3416 - 3416.
• Nigam Shah:
  Summarizing Patients Like Mine via an On-demand Consultation Service. 3417 - 3417.
• Joaquin Vanschoren:
  Towards Scalable Online Machine Learning Collaborations with OpenML. 3418 - 3418.
• Manasi Vartak:
  From ML Models to Intelligent Applications: The Rise of MLOps. 3419 - 3419.
• Matei Zaharia:
  Designing Production-Friendly Machine Learning. 3420 - 3420.