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ORCIDACM SIGMOD Conference 2021: Virtual Event, China
- Guoliang Li, Zhanhuai Li, Stratos Idreos, Divesh Srivastava:
SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM 2021, ISBN 978-1-4503-8343-1
Keynote Talks
- Kenneth A. Ross:
Utilizing (and Designing) Modern Hardware for Data-Intensive Computations: The Role of Abstraction. 1 - Wang-Chiew Tan:
Deep Data Integration. 2
Award Talks
- Natacha Crooks
:
A Client-centric Approach to Transactional Datastores. 3-5 - Maximilian Schleich:
Structure-Aware Machine Learning over Multi-Relational Databases. 6-7 - Erfan Zamanian:
Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks. 8 - Huanchen Zhang:
Memory-Efficient Search Trees for Database Management Systems. 9
Research Data Management Track Papers
- Samira Akili, Matthias Weidlich:
MuSE Graphs for Flexible Distribution of Event Stream Processing in Networks. 10-22 - Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Ioana Manolescu:
HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries. 23-35 - Daichi Amagata, Makoto Onizuka, Takahiro Hara:
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. 36-48 - Daichi Amagata, Takahiro Hara:
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. 49-61 - Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
Exploring Ratings in Subjective Databases. 62-75 - Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
SharPer: Sharding Permissioned Blockchains Over Network Clusters. 76-88 - Arvind Arasu, Badrish Chandramouli, Johannes Gehrke, Esha Ghosh, Donald Kossmann, Jonathan Protzenko, Ravi Ramamurthy, Tahina Ramananandro, Aseem Rastogi, Srinath T. V. Setty, Nikhil Swamy, Alexander van Renen, Min Xu:
FastVer: Making Data Integrity a Commodity. 89-101 - Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro, Juan L. Reutter, Javiel Rojas-Ledesma, Adrián Soto:
Worst-Case Optimal Graph Joins in Almost No Space. 102-114 - Vadim Arzamasov, Klemens Böhm:
REDS: Rule Extraction for Discovering Scenarios. 115-128 - Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish:
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. 129-141 - Jees Augustine, Suraj Shetiya, Mohammadreza Esfandiari, Senjuti Basu Roy, Gautam Das:
A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems. 142-154 - Darshana Balakrishnan, Carl Nuessle, Oliver Kennedy, Lukasz Ziarek:
TreeToaster: Towards an IVM-Optimized Compiler. 155-167 - Maximilian Bandle, Jana Giceva, Thomas Neumann:
To Partition, or Not to Partition, That is the Join Question in a Real System. 168-180 - Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Query Processing. 181-193 - Souvik Bhattacherjee, Gang Liao, Michael Hicks, Daniel J. Abadi:
BullFrog: Online Schema Evolution via Lazy Evaluation. 194-206 - Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. 207-220 - Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric. 221-234 - Aleksey Charapko, Ailidani Ailijiang, Murat Demirbas:
PigPaxos: Devouring the Communication Bottlenecks in Distributed Consensus. 235-247 - Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jianxin Li:
Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs. 248-260 - Peiqing Chen, Dong Chen, Lingxiao Zheng, Jizhou Li, Tong Yang:
Out of Many We are One: Measuring Item Batch with Clock-Sketch. 261-273 - Xingguang Chen, Sibo Wang:
Efficient Approximate Algorithms for Empirical Entropy and Mutual Information. 274-286 - Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu:
Evaluating Temporal Queries Over Video Feeds. 287-299 - Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
Hybrid Evaluation for Distributed Iterative Matrix Computation. 300-312 - Zitong Chen, Ada Wai-Chee Fu, Minhao Jiang, Eric Lo, Pengfei Zhang:
P2H: Efficient Distance Querying on Road Networks by Projected Vertex Separators. 313-325 - Yodsawalai Chodpathumwan, Arash Termehchy, Stephen A. Ramsey, Aayam Shrestha, Amy Glen, Zheng Liu:
Structural Generalizability: The Case of Similarity Search. 326-338 - Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl:
Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads. 339-351 - Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava:
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. 352-364 - Niv Dayan, Moshe Twitto:
Chucky: A Succinct Cuckoo Filter for LSM-Tree. 365-378 - Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch:
On Optimizing the Trade-off between Privacy and Utility in Data Provenance. 379-391 - Yanlei Diao, Pawel Guzewicz, Ioana Manolescu, Mirjana Mazuran:
Efficient Exploration of Interesting Aggregates in RDF Graphs. 392-404 - Ralf Diestelkämper, Seokki Lee, Melanie Herschel, Boris Glavic:
To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data. 405-417 - Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska:
Instance-Optimized Data Layouts for Cloud Analytics Workloads. 418-431 - Wei Dong, Ke Yi:
Residual Sensitivity for Differentially Private Multi-Way Joins. 432-444 - Dominik Durner, Viktor Leis, Thomas Neumann:
JSON Tiles: Fast Analytics on Semi-Structured Data. 445-458 - Wenfei Fan, Chao Tian, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Incrementalizing Graph Algorithms. 459-471 - Wenfei Fan, Yuanhao Li, Muyang Liu, Can Lu:
Making Graphs Compact by Lossless Contraction. 472-484 - Omar Farhat, Khuzaima Daudjee, Leonardo Querzoni:
Klink: Progress-Aware Scheduling for Streaming Data Systems. 485-498 - Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou:
Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems. 499-512 - Guanyu Feng, Zixuan Ma, Daixuan Li, Shengqi Chen, Xiaowei Zhu, Wentao Han, Wenguang Chen:
RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s. 513-527 - Su Feng, Boris Glavic, Aaron Huber, Oliver A. Kennedy:
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds. 528-540 - Weiqi Feng, Dong Deng:
Allign: Aligning All-Pair Near-Duplicate Passages in Long Texts. 541-553 - Yannis Foufoulas, Lefteris Sidirourgos, Elefterios Stamatogiannakis, Yannis E. Ioannidis:
Adaptive Compression for Fast Scans on String Columns. 554-562 - Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. 563-576 - Sainyam Galhotra, Romila Pradhan, Babak Salimi:
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. 577-590 - Junyang Gao, Yifan Xu, Pankaj K. Agarwal, Jun Yang:
Efficiently Answering Durability Prediction Queries. 591-604 - Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Power of Nested Parallelism in Big Data Processing - Hitting Three Flies with One Slap -. 605-618 - Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala:
Synthesizing Linked Data Under Cardinality and Integrity Constraints. 619-631 - Orest Gkini, Theofilos Belmpas, Georgia Koutrika, Yannis E. Ioannidis:
An In-Depth Benchmarking of Text-to-SQL Systems. 632-644 - Xiangyang Gou, Lei Zou:
Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges. 645-657 - Zhihan Guo, Kan Wu, Cong Yan, Xiangyao Yu:
Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking. 658-670 - Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. 671-684 - Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze:
VSS: A Storage System for Video Analytics. 685-696 - Axel Hertzschuch, Guido Moerkotte, Wolfgang Lehner, Norman May, Florian Wolf, Lars Fricke:
Small Selectivities Matter: Lifting the Burden of Empty Samples. 697-709 - Benjamin Hilprecht, Carsten Binnig:
ReStore - Neural Data Completion for Relational Databases. 710-722 - Denis Hirn, Torsten Grust:
One WITH RECURSIVE is Worth Many GOTOs. 723-735 - Lin Hu, Lei Zou, Yu Liu:
Accelerating Triangle Counting on GPU. 736-748 - Haoyu Huang, Shahram Ghandeharizadeh:
Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store. 749-763 - Kai Huang, Huey-Eng Chua, Sourav S. Bhowmick, Byron Choi, Shuigeng Zhou:
MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces. 764-776 - Qiang Huang, Yifan Lei, Anthony K. H. Tung:
Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere. 777-789 - Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu:
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives. 790-803 - Yesdaulet Izenov, Asoke Datta, Florin Rusu, Jun Hyung Shin:
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases. 804-816 - Shuping Ji, Hans-Arno Jacobsen:
A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions. 817-829 - Peng Jia, Pinghui Wang, Junzhou Zhao, Shuo Zhang, Yiyan Qi, Min Hu, Chao Deng, Xiaohong Guan:
Bidirectionally Densifying LSH Sketches with Empty Bins. 830-842 - Hao Jiang, Chunwei Liu, John Paparrizos, Andrew A. Chien, Jihong Ma, Aaron J. Elmore:
Good to the Last Bit: Data-Driven Encoding with CodecDB. 843-856 - Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang:
Towards Demystifying Serverless Machine Learning Training. 857-871 - Wen Jin, Weining Qian, Aoying Zhou:
Efficient String Sort with Multi-Character Encoding and Adaptive Sampling. 872-884 - Georgios Kalamatianos, Georgios John Fakas, Nikos Mamoulis:
Proportionality in Spatial Keyword Search. 885-897 - Donghe Kang, Ruochen Jiang, Spyros Blanas:
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning. 898-911 - Kapil Khurana, Jayant R. Haritsa:
Shedding Light on Opaque Application Queries. 912-924 - Hyunjoon Kim, Yunyoung Choi, Kunsoo Park, Xuemin Lin, Seok-Hee Hong, Wook-Shin Han:
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching. 925-937 - Jong-Bin Kim, Kihwang Kim, Hyunsoo Cho, Jaeseon Yu, Sooyong Kang, Hyungsoo Jung:
Rethink the Scan in MVCC Databases. 938-950 - Jongik Kim:
Boosting Graph Similarity Search through Pre-Computation. 951-963 - Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han:
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation. 964-976 - Seongyun Ko, Taesung Lee, Kijae Hong, Wonseok Lee, In Seo, Jiwon Seo, Wook-Shin Han:
iTurboGraph: Scaling and Automating Incremental Graph Analytics. 977-990 - André Kohn, Viktor Leis, Thomas Neumann:
Building Advanced SQL Analytics From Low-Level Plan Operators. 1001-1013 - Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He:
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. 1014-1022 - Michael Körber, Nikolaus Glombiewski, Bernhard Seeger:
Index-Accelerated Pattern Matching in Event Stores. 1023-1036 - Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Top-K Deep Video Analytics: A Probabilistic Approach. 1037-1050 - Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy:
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. 1051-1063 - Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. 1064-1076 - Rundong Li, Pinghui Wang, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye:
Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying. 1077-1089 - Tianyu Li, Badrish Chandramouli, Jose M. Faleiro, Samuel Madden, Donald Kossmann:
Asynchronous Prefix Recoverability for Fast Distributed Stores. 1090-1102 - Yan Li, Tingjian Ge:
Imminence Monitoring of Critical Events: A Representation Learning Approach. 1103-1115 - Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma:
PRISM: Private Verifiable Set Computation over Multi-Owner Outsourced Databases. 1116-1128 - Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan:
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. 1129-1141 - Xueling Lin, Lei Chen, Chaorui Zhang:
TENET: Joint Entity and Relation Linking with Coherence Relaxation. 1142-1155 - Yu-Shan Lin, Ching Tsai, Tz-Yu Lin, Yun-Sheng Chang, Shan-Hung Wu:
Don't Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems. 1156-1168 - Sebastian Link, Ziheng Wei:
Logical Schema Design that Quantifies Update Inefficiency and Join Efficiency. 1169-1181 - Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy:
Properties of Inconsistency Measures for Databases. 1182-1194 - Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. 1195-1207 - Shengliang Lu, Shixuan Sun, Johns Paul, Yuchen Li, Bingsheng He:
Cache-Efficient Fork-Processing Patterns on Large Graphs. 1208-1221 - Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine:
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. 1222-1234 - Yuyu Luo, Nan Tang, Guoliang Li, Chengliang Chai, Wenbo Li, Xuedi Qin:
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks. 1235-1247 - Lin Ma, William Zhang, Jie Jiao, Wuwen Wang, Matthew Butrovich, Wan Shen Lim, Prashanth Menon, Andrew Pavlo:
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems. 1248-1261 - Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang:
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. 1262-1274 - Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. 1275-1288 - Ruben Mayer, Hans-Arno Jacobsen:
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. 1289-1302 - Zhengjie Miao, Yuliang Li, Xiaolan Wang:
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond. 1303-1316 - Kyriakos Mouratidis, Keming Li, Bo Tang:
Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size. 1317-1330 - Jan Mühlig, Jens Teubner:
MxTasks: How to Make Efficient Synchronization and Prefetching Easy. 1331-1344 - Felix Neutatz, Felix Biessmann, Ziawasch Abedjan:
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. 1345-1358 - Wangze Ni, Peng Cheng, Lei Chen, Xuemin Lin:
When the Recursive Diversity Anonymity Meets the Ring Signature. 1359-1371 - Prashant Pandey, Brian Wheatman, Helen Xu, Aydin Buluç:
Terrace: A Hierarchical Graph Container for Skewed Dynamic Graphs. 1372-1385 - Prashant Pandey, Alex Conway, Joe Durie, Michael A. Bender, Martin Farach-Colton, Rob Johnson:
Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design. 1386-1399 - Eliana Pastor, Luca de Alfaro, Elena Baralis:
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. 1400-1412 - Johns Paul, Shengliang Lu, Bingsheng He, Chiew Tong Lau:
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures. 1413-1425 - Arnab Phani, Benjamin Rath, Matthias Boehm:
LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems. 1426-1439 - Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis:
Scalable and Usable Relational Learning With Automatic Language Bias. 1440-1451 - Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner:
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. 1452-1464 - Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan:
Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries. 1465-1477 - Weilong Ren, Xiang Lian, Kambiz Ghazinour:
Online Topic-Aware Entity Resolution Over Incomplete Data Streams. 1478-1490 - Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth:
Dynamic Structural Clustering on Graphs. 1491-1503 - Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, Gang Chen, Qian Lin, Beng Chin Ooi:
Blockchains vs. Distributed Databases: Dichotomy and Fusion. 1504-1517 - Siddhartha Sahu, Semih Salihoglu:
Graphsurge: Graph Analytics on View Collections Using Differential Computation. 1518-1530 - Aécio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire:
Correlation Sketches for Approximate Join-Correlation Queries. 1531-1544 - Sebastian Schelter, Stefan Grafberger, Ted Dunning:
HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning. 1545-1557 - Mo Sha, Yuchen Li, Kian-Lee Tan:
Self-adaptive Graph Traversal on GPUs. 1558-1570 - Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas:
PCOR: Private Contextual Outlier Release via Differentially Private Search. 1571-1583 - Vraj Shah, Jonathan Lacanlale, Premanand Kumar, Kevin Yang, Arun Kumar:
Towards Benchmarking Feature Type Inference for AutoML Platforms. 1584-1596 - Amirhesam Shahvarani, Hans-Arno Jacobsen:
Distributed Stream KNN Join. 1597-1609 - Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou:
PGMJoins: Random Join Sampling with Graphical Models. 1610-1622 - Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips:
At-the-time and Back-in-time Persistent Sketches. 1623-1636 - Pedro F. Silvestre, Marios Fragkoulis, Diomidis Spinellis, Asterios Katsifodimos:
Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows. 1637-1650 - Panagiotis Sioulas, Anastasia Ailamaki:
Scalable Multi-Query Execution using Reinforcement Learning. 1651-1663 - Ainur Smagulova, Alin Deutsch:
Vertex-centric Parallel Computation of SQL Queries. 1664-1677 - Jie Song, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. 1678-1691 - Shaoxu Song, Fei Gao, Ruihong Huang, Yihan Wang:
On Saving Outliers for Better Clustering over Noisy Data. 1692-1704 - Shaoxu Song, Ruihong Huang, Yu Gao, Jianmin Wang:
Why Not Match: On Explanations of Event Pattern Queries. 1705-1717 - Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska:
Tuplex: Data Science in Python at Native Code Speed. 1718-1731 - William Spoth, Oliver Kennedy, Ying Lu, Beda Christoph Hammerschmidt, Zhen Hua Liu:
Reducing Ambiguity in Json Schema Discovery. 1732-1744 - Ji Sun, Guoliang Li, Nan Tang:
Learned Cardinality Estimation for Similarity Queries. 1745-1757 - Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. 1758-1770 - Ki Hyun Tae, Steven Euijong Whang:
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models. 1771-1783 - Bo Tang, Kyriakos Mouratidis, Mingji Han:
On m-Impact Regions and Standing Top-k Influence Problems. 1784-1796 - Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan:
Resource-efficient Shared Query Execution via Exploiting Time Slackness. 1797-1810 - Konstantin Taranov, Salvatore Di Girolamo, Torsten Hoefler:
CoRM: Compactable Remote Memory over RDMA. 1811-1824 - Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig:
DFI: The Data Flow Interface for High-Speed Networks. 1825-1837 - Daniel Ting, Rick Cole:
Conditional Cuckoo Filters. 1838-1850 - Tom Tseng, Laxman Dhulipala, Julian Shun:
Parallel Index-Based Structural Graph Clustering and Its Approximation. 1851-1864 - Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Expand your Training Limits! Generating Training Data for ML-based Data Management. 1865-1878 - Benjamin Wagner, André Kohn, Thomas Neumann:
Self-Tuning Query Scheduling for Analytical Workloads. 1879-1891 - Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala:
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy. 1892-1905 - Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. 1906-1919 - Weicheng Wang, Raymond Chi-Wing Wong, Min Xie:
Interactive Search for One of the Top-k. 1920-1932 - Weiguo Wang, Sourav S. Bhowmick, Hui Li, Shafiq R. Joty, Siyuan Liu, Peng Chen:
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans. 1933-1945 - Ye Wang, Qing Wang, Henning Koehler, Yu Lin:
Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks. 1946-1958 - Yilei Wang, Ke Yi:
Secure Yannakakis: Join-Aggregate Queries over Private Data. 1969-1981 - Yiqiu Wang, Shangdi Yu, Yan Gu, Julian Shun:
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering. 1982-1995 - Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. 1996-2008 - Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. 2009-2022 - Dong Xie, Jeff M. Phillips, Michael Matheny, Feifei Li:
Spatial Independent Range Sampling. 2023-2035 - Zihuan Xu, Lei Chen:
DIV: Resolving the Dynamic Issues of Zero-knowledge Set Membership Proof in the Blockchain. 2036-2048 - Zhengyi Yang, Longbin Lai, Xuemin Lin, Kongzhang Hao, Wenjie Zhang:
HUGE: An Efficient and Scalable Subgraph Enumeration System. 2049-2062 - Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee:
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. 2063-2075 - Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. 2076-2088 - Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl:
Parallelizing Intra-Window Join on Multicores: An Experimental Study. 2089-2101 - Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui:
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases. 2102-2114 - Yipeng Zhang, Yuchen Li, Zhifeng Bao, Baihua Zheng, H. V. Jagadish:
Minimizing the Regret of an Influence Provider. 2115-2127 - Bo Zhao, Han van der Aa, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Matthias Weidlich:
EIRES: Efficient Integration of Remote Data in Event Stream Processing. 2128-2141 - Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong:
A Learned Sketch for Subgraph Counting. 2142-2155 - Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao:
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. 2156-2168 - Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SIA: Optimizing Queries using Learned Predicates. 2169-2181 - Wenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang, Ke Ma, Feifei Li:
VeriDB: An SGX-based Verifiable Database. 2182-2194 - Xinjing Zhou, Joy Arulraj, Andrew Pavlo, David E. Cohen:
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. 2195-2207
Research Data Science & Engineering Track Papers
- Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi:
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. 2208-2216 - Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan:
Adaptive Rule Discovery for Labeling Text Data. 2217-2225 - Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava:
Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). 2226-2234 - Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. 2235-2243 - Hakbin Kim, Dong-Wan Choi:
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks. 2244-2252 - Yinan Liu, Wei Shen, Yuanfei Wang, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan:
Joint Open Knowledge Base Canonicalization and Linking. 2253-2261 - Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. 2262-2270 - Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang:
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. 2271-2280 - Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang:
LightNE: A Lightweight Graph Processing System for Network Embedding. 2281-2289 - Svetlana Sagadeeva, Matthias Boehm:
SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging. 2290-2299 - Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan:
To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. 2300-2309 - Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan:
Medical Entity Disambiguation Using Graph Neural Networks. 2310-2318 - Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang, Yoshiharu Ishikawa:
Consistent and Flexible Selectivity Estimation for High-Dimensional Data. 2319-2327 - Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. 2328-2337 - An Yan, Bill Howe:
EquiTensors: Learning Fair Integrations of Heterogeneous Urban Data. 2338-2347 - Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. 2348-2356 - Quinton Yong, Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Efficient Graph Summarization using Weighted LSH at Billion-Scale. 2357-2365 - Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui:
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. 2366-2374 - Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui:
BurstSketch: Finding Bursts in Data Streams. 2375-2383
Research Applications Track Papers
- Aline Bessa, Sonia Castelo, Rémi Rampin, Aécio S. R. Santos, Michael Shoemate, Vito D'Orazio, Juliana Freire:
An Ecosystem of Applications for Modeling Political Violence. 2384-2388 - Zhe Peng, Cheng Xu, Haixin Wang, Jinbin Huang, Jianliang Xu, Xiaowen Chu:
P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics. 2389-2393 - Vikram Ravindra, Ananth Grama:
De-anonymization Attacks on Neuroimaging Datasets. 2394-2398 - Ramon Antonio Rodriges Zalipynis:
Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case. 2399-2403 - Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li:
Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. 2404-2409
Industrial Track Papers
- Mohammed Abouzour, Günes Aluç, Ivan T. Bowman, Xi Deng, Nandan Marathe, Sagar Ranadive, Muhammed Sharique, John C. Smirnios:
Bringing Cloud-Native Storage to SAP IQ. 2410-2422 - Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Keith W. Hare, Jan Hidders, Victor E. Lee, Bei Li, Leonid Libkin, Wim Martens, Filip Murlak, Josh Perryman, Ognjen Savkovic, Michael Schmidt, Juan F. Sequeda, Slawek Staworko, Dominik Tomaszuk:
PG-Keys: Keys for Property Graphs. 2423-2436 - Panagiotis Antonopoulos, Raghav Kaushik, Hanuma Kodavalla, Sergio Rosales Aceves, Reilly Wong, Jason Anderson, Jakub Szymaszek:
SQL Ledger: Cryptographically Verifiable Data in Azure SQL Database. 2437-2449 - Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. 2450-2463 - Wei Cao, Xiaojie Feng, Boyuan Liang, Tianyu Zhang, Yusong Gao, Yunyang Zhang, Feifei Li:
LogStore: A Cloud-Native and Multi-Tenant Log Database. 2464-2476 - Wei Cao, Yingqiang Zhang, Xinjun Yang, Feifei Li, Sheng Wang, Qingda Hu, Xuntao Cheng, Zongzhi Chen, Zhenjun Liu, Jing Fang, Bo Wang, Yuhui Wang, Haiqing Sun, Ze Yang, Zhushi Cheng, Sen Chen, Jian Wu, Wei Hu, Jianwei Zhao, Yusong Gao, Songlu Cai, Yunyang Zhang, Jiawang Tong:
PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers. 2477-2489 - Umur Cubukcu, Ozgun Erdogan, Sumedh Pathak, Sudhakar Sannakkayala, Marco Slot:
Citus: Distributed PostgreSQL for Data-Intensive Applications. 2490-2502 - Yupeng Fu, Chinmay Soman:
Real-time Data Infrastructure at Uber. 2503-2516 - Kfir Lev-Ari, Yizuo Tian, Alexander Shraer, Chris Douglas, Hao Fu, Andrey Andreev, Kevin Beranek, Scott Dugas, Alec Grieser, Jeremy Hemmo:
QuiCK: A Queuing System in CloudKit. 2517-2529 - Zhenghua Lyu, Huan Hubert Zhang, Gang Xiong, Gang Guo, Haozhou Wang, Jinbao Chen, Asim Praveen, Yu Yang, Xiaoming Gao, Alexandra Wang, Wen Lin, Ashwin Agrawal, Junfeng Yang, Hao Wu, Xiaoliang Li, Feng Guo, Jiang Wu, Jesse Zhang, Venkatesh Raghavan:
Greenplum: A Hybrid Database for Transactional and Analytical Workloads. 2530-2542 - Justin Moeller, Zi Ye, Katherine Lin, Willis Lang:
Toto - Benchmarking the Efficiency of a Cloud Service. 2543-2556 - Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal:
Steering Query Optimizers: A Practical Take on Big Data Workloads. 2557-2569 - Zhu Pang, Qingda Lu, Shuo Chen, Rui Wang, Yikang Xu, Jiesheng Wu:
ArkDB: A Key-Value Engine for Scalable Cloud Storage Services. 2570-2583 - Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. 2584-2596 - Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng:
Learning-Aided Heuristics Design for Storage System. 2597-2601 - Guozhang Wang, Lei Chen, Ayusman Dikshit, Jason Gustafson, Boyang Chen, Matthias J. Sax, John Roesler, Sophie Blee-Goldman, Bruno Cadonna, Apurva Mehta, Varun Madan, Jun Rao:
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka. 2602-2613 - Jianguo Wang, Xiaomeng Yi, Rentong Guo, Hai Jin, Peng Xu, Shengjun Li, Xiangyu Wang, Xiangzhou Guo, Chengming Li, Xiaohai Xu, Kun Yu, Yuxing Yuan, Yinghao Zou, Jiquan Long, Yudong Cai, Zhenxiang Li, Zhifeng Zhang, Yihua Mo, Jun Gu, Ruiyi Jiang, Yi Wei, Charles Xie:
Milvus: A Purpose-Built Vector Data Management System. 2614-2627 - Xuhong Wang, Ding Lyu, Mengjian Li, Yang Xia, Qi Yang, Xinwen Wang, Xinguang Wang, Ping Cui, Yupu Yang, Bowen Sun, Zhenyu Guo:
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding. 2628-2638 - Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. 2639-2652 - Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Young Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav:
FoundationDB: A Distributed Unbundled Transactional Key Value Store. 2653-2666 - Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino:
KEA: Tuning an Exabyte-Scale Data Infrastructure. 2667-2680
Demo Track Papers
- Damianos Chatziantoniou, Verena Kantere:
DataMingler: A Novel Approach to Data Virtualization. 2681-2685 - Yiru Chen, Silu Huang:
TSExplain: Surfacing Evolving Explanations for Time Series. 2686-2690 - Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
SRA: Smart Recovery Advisor for Cyber Attacks. 2691-2695 - Francesco Del Buono, Matteo Paganelli, Paolo Sottovia, Matteo Interlandi, Francesco Guerra:
Transforming ML Predictive Pipelines into SQL with MASQ. 2696-2700 - Akhil A. Dixit, Phokion G. Kolaitis:
CAvSAT: Answering Aggregation Queries over Inconsistent Databases via SAT Solving. 2701-2705 - Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani:
CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning. 2706-2710 - Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
BEER: Blocking for Effective Entity Resolution. 2711-2715 - Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. 2716-2720 - Michael A. Georgiou, Michael Panayiotou, Lambros Odysseos, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Attaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooi. 2721-2725 - Brad Glasbergen, Fangyu Wu, Khuzaima Daudjee:
Dendrite: Bolt-on Adaptivity for Data Systems. 2726-2730 - Apostolos Glenis, Georgia Koutrika:
PyExplore: Query Recommendations for Data Exploration without Query Logs. 2731-2735 - Stefan Grafberger, Shubha Guha, Julia Stoyanovich, Sebastian Schelter:
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines. 2736-2739 - Vinh Thinh Ho, Koninika Pal, Gerhard Weikum:
QuTE: Answering Quantity Queries from Web Tables. 2740-2744 - Ousmane Issa, Angela Bonifati, Farouk Toumani:
INCA: Inconsistency-Aware Data Profiling and Querying. 2745-2749 - Doris Jung Lin Lee, Abdul Quamar, Eser Kandogan, Fatma Özcan:
Boomerang: Proactive Insight-Based Recommendations for Guiding Conversational Data Analysis. 2750-2754 - Yue Li, Shiyu Yang, Muhammad Aamir Cheema, Zhou Shao, Xuemin Lin:
IndoorViz: A Demonstration System for Indoor Spatial Data Management. 2755-2759 - Stavros Maroulis, Nikos Bikakis, George Papastefanatos, Panos Vassiliadis, Yannis Vassiliou:
RawVis: A System for Efficient In-situ Visual Analytics. 2760-2764 - Luciano Nocera, George Constantinou, Luan V. Tran, Seon Ho Kim, Gabriel Kahn, Cyrus Shahabi:
Crosstown Foundry: A Scalable Data-driven Journalism Platform for Hyper-local News. 2765-2769 - Xiaodong Qi, Zhihao Chen, Zhao Zhang, Cheqing Jin, Aoying Zhou, Haizhen Zhuo, Quangqing Xu:
A Byzantine Fault Tolerant Storage for Permissioned Blockchain. 2770-2774 - Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann:
TardisDB: Extending SQL to Support Versioning. 2775-2778 - Qi Song, Hanchao Ma, Peng Lin, Yinghui Wu:
GRIP: Constraint-based Explanation of Missing Answers for Graph Queries. 2779-2783 - Donato Tiano, Angela Bonifati, Raymond Ng:
FeatTS: Feature-based Time Series Clustering. 2784-2788 - Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin:
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. 2789-2793 - Junxiong Wang, Immanuel Trummer, Debabrota Basu:
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. 2794-2797 - Ziyun Wei, Immanuel Trummer, Connor Anderson:
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries. 2798-2802 - Yidi Wu, Yuntao Gui, Tatiana Jin, James Cheng, Xiao Yan, Peiqi Yin, Yufei Cai, Bo Tang, Fan Yu:
Vertex-Centric Visual Programming for Graph Neural Networks. 2803-2807 - Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He:
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. 2808-2812
Tutorial Track Papers
- Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
Permissioned Blockchains: Properties, Techniques and Applications. 2813-2820 - Marcelo Arenas, Claudio Gutierrez, Juan F. Sequeda:
Querying in the Age of Graph Databases and Knowledge Graphs. 2821-2828 - Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang:
Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions. 2829-2838 - Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang:
Practical Security and Privacy for Database Systems. 2839-2845 - George Katsogiannis-Meimarakis, Georgia Koutrika:
A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems. 2846-2851 - Alberto Lerner, Philippe Bonnet:
Not your Grandpa's SSD: The Era of Co-Designed Storage Devices. 2852-2858 - Guoliang Li, Xuanhe Zhou, Lei Cao:
AI Meets Database: AI4DB and DB4AI. 2859-2866 - Abdul Wasay, Subarna Chatterjee, Stratos Idreos:
Deep Learning: Systems and Responsibility. 2867-2875
Panel Track Papers
- Sihem Amer-Yahia, Senjuti Basu Roy:
Data Management to Social Science and Back in the Future of Work. 2876-2877 - Arun Kumar:
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? 2878-2880
Graduate Student Research Competition Track Abstracts
- Morteza Alipour Langouri:
Temporal Dependencies for Graphs. 2881-2883 - Ahmed Helal:
Data Lakes Empowered by Knowledge Graph Technologies. 2884-2886 - Shiva Jahangiri:
Wisconsin Benchmark Data Generator: To JSON and Beyond. 2887-2889 - Karl Knopf:
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements. 2890-2892 - Chrysanthi Kosyfaki:
Flow Provenance in Temporal Interaction Networks. 2893-2895 - Ziliang Lai:
Efficient Deterministic Concurrency Control Under Practical Isolation Levels. 2896-2898 - Side Li:
Grouped Learning: Group-By Model Selection Workloads. 2899-2901 - Ali Mohammadi Shanghooshabad:
XLJoins. 2902-2904 - Samriddhi Singla:
Raptor: Large Scale Processing of Big Raster + Vector Data. 2905-2907 - Zhanhao Zhao:
Efficiently Supporting Adaptive Multi-Level Serializability Models in Distributed Database Systems. 2908-2910 - Zheng Zheng:
Contextual Data Cleaning with Ontology FDs. 2911-2913 - Xuliang Zhu:
Data Summarization with Hierarchical Taxonomy. 2914-2916
Undergraduate Student Research Competition Track Abstracts
- Ikraduya Edian:
Accelerating Product Quantization Query Execution Runtime. 2917-2919 - Advitya Gemawat:
GraphGem: Optimized Scalable System for Graph Convolutional Networks. 2920-2922 - Demi Guo:
Learning Algorithms for Automatic Data Structure Design. 2923-2925 - Zhaoheng Li, Xinyu Pi, Mingyuan Wu:
Subteam Replacement: Problem Definition and Fast Solution. 2926-2928 - Kabir Nagrecha:
Model-Parallel Model Selection for Deep Learning Systems. 2929-2931 - Sergiu Pocol:
Index-Based Join Size Estimation Using Adaptive Sampling. 2932-2933
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