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ACM SIGMOD Conference 2023: Seattle, WA, USA - Companion Volume
- Sudipto Das, Ippokratis Pandis, K. Selçuk Candan, Sihem Amer-Yahia:
Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023. ACM 2023, ISBN 978-1-4503-9507-6
Keynote Talks
- Don Chamberlin:
49 Years of Queries. 1 - Vanessa Murdock:
Mixed Methods Machine Learning. 3-4 - Shazia Sadiq:
DEI Perspectives in Information Technology Education. 5
Tutorials
- Julia Stoyanovich, Meike Zehlike, Ke Yang:
Fairness in Ranking: From Values to Technical Choices and Back. 7-12 - Chengliang Chai, Nan Tang, Ju Fan, Yuyu Luo:
Demystifying Artificial Intelligence for Data Preparation. 13-20 - Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng:
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities. 21-29 - Arlino Magalhães, Angelo Brayner, José Maria Monteiro:
Main Memory Database Recovery Strategies. 31-35 - Jianguo Wang, Qizhen Zhang:
Disaggregated Database Systems. 37-44 - Tobias Winker, Sven Groppe, Valter Uotila, Zhengtong Yan, Jiaheng Lu, Maja Franz, Wolfgang Mauerer:
Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research. 45-52 - Matthias Boehm, Matteo Interlandi, Chris Jermaine:
Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. 53-59 - Chao Zhang, Angela Bonifati, M. Tamer Özsu:
An Overview of Reachability Indexes on Graphs. 61-68 - Grace Fan, Jin Wang, Yuliang Li, Renée J. Miller:
Table Discovery in Data Lakes: State-of-the-art and Future Directions. 69-75 - Wenqi Jiang, Dario Korolija, Gustavo Alonso:
Data Processing with FPGAs on Modern Architectures. 77-82 - Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti:
Models and Practice of Neural Table Representations. 83-89
Demonstrations
- Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang:
Proactively Screening Machine Learning Pipelines with ARGUSEYES. 91-94 - Huidong Zhang, Luyi Qu, Qingshuai Wang, Rong Zhang, Peng Cai, Quanqing Xu, Zhifeng Yang, Chuanhui Yang:
Dike: A Benchmark Suite for Distributed Transactional Databases. 95-98 - Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu:
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. 99-102 - Marie Fischer, Paul Roessler, Paul Sieben, Janina Adamcic, Christoph Kirchherr, Tobias Straeubig, Youri Kaminsky, Felix Naumann:
BCNF* - From Normalized- to Star-Schemas and Back Again. 103-106 - Hu Wang, Hui Li, Sourav S. Bhowmick, Baochao Xu:
ARENA: Alternative Relational Query Plan Exploration for Database Education. 107-110 - Chenyu Yang, Ruixue Fan, Nan Tang, Meihui Zhang, Xiaoman Zhao, Ju Fan, Xiaoyong Du:
Pay "Attention" to Chart Images for What You Read on Text. 111-114 - Binyang Dai, Qichen Wang, Ke Yi:
SparkSQL+: Next-generation Query Planning over Spark. 115-118 - Jannis Becktepe, Mahdi Esmailoghli, Maximilian Koch, Ziawasch Abedjan:
Demonstrating MATE and COCOA for Data Discovery. 119-122 - Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu:
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. 123-126 - Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds. 127-130 - Zichen Zhu, Subhadeep Sarkar, Manos Athanassoulis:
Acheron: Persisting Tombstones in LSM Engines. 131-134 - Jue Wang, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen:
SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud. 135-138 - Immanuel Trummer:
Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language. 139-142 - Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang:
Characterizing and Verifying Queries Via CINSGEN. 143-146 - Bhavya Chopra, Anna Fariha, Sumit Gulwani, Austin Z. Henley, Daniel Perelman, Mohammad Raza, Sherry Shi, Danny Simmons, Ashish Tiwari:
CoWrangler: Recommender System for Data-Wrangling Scripts. 147-150 - Kashif Rabbani, Matteo Lissandrini, Katja Hose:
SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes. 151-154 - Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra:
Fast Natural Language Based Data Exploration with Samples. 155-158 - Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Dexer: Detecting and Explaining Biased Representation in Ranking. 159-162 - Kajetan Jeremi Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
TeeBench: Seamless Benchmarking in Trusted Execution Environments. 163-166 - Tavor Lipman, Tova Milo, Amit Somech:
ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning. 167-170 - Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
NEXUS: On Explaining Confounding Bias. 171-174 - Sachin Basil John, Peter Lindner, Zhekai Jiang, Christoph Koch:
Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine. 175-178 - Saehan Jo, Immanuel Trummer:
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. 179-182 - Haneen Mohammed, Charlie Summers, Sughosh V. Kaushik, Eugene Wu:
SmokedDuck Demonstration: SQLStepper. 183-186 - Aamod Khatiwada, Roee Shraga, Renée J. Miller:
DIALITE: Discover, Align and Integrate Open Data Tables. 187-190 - Mashaal Musleh, Mohamed F. Mokbel:
A Demonstration of KAMEL: A Scalable BERT-based System for Trajectory Imputation. 191-194 - Kanchan Chowdhury, Mohamed Sarwat:
A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework. 195-198 - Hesam Shahrokhi, Callum Groeger, Yizhuo Yang, Amir Shaikhha:
Efficient Query Processing in Python Using Compilation. 199-202
Invited Industrial Papers
- Rogers Jeffrey Leo John, Dylan Bacon, Junda Chen, Ushmal Ramesh, Jiatong Li, Deepan Das, Robert V. Claus, Amos Kendall, Jignesh M. Patel:
DataChat: An Intuitive and Collaborative Data Analytics Platform. 203-215 - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. 217-224 - Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy:
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. 225-237 - Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang:
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. 239-251 - Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth:
Growing and Serving Large Open-domain Knowledge Graphs. 253-259
Panels
- Gustavo Alonso, Natassa Ailamaki, Sailesh Krishnamurthy, Sam Madden, Swami Sivasubramanian, Raghu Ramakrishnan:
Future of Database System Architectures. 261-262 - Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan:
Personal Data for Personal Use: Vision or Reality? 263-264
Undergraduate Student Research Competition
- Xiaochen Zhu:
Link Local Differential Privacy in GNNs via Bayesian Estimation. 265-267 - Yunlong Xu, Peizhen Yang, Zhengbin Tao:
Dangoron: Network Construction on Large-scale Time Series Data across Sliding Windows. 269-271 - Yurong Liu, Yunlong Xu:
Sampling over Union of Joins. 273-275
Graduate Student Research Competition
- Mihail Stoian:
Faster FFT-based Wildcard Pattern Matching. 277-279 - Sergio Luiz Marques Filho:
Discovering Denial Constraints Using Boolean Patterns. 281-283 - Mihail Stoian:
Fast Joint Shapley Values. 285-287 - Xin Zhang:
SynopsisDB: Distributed Synopsis-based Data Processing System. 289-291 - Dario Benvenuti:
Towards a Framework for Data Pipeline Discovery. 293-294 - Stefan Klessinger:
Capturing Data-inherent Dependencies in JSON Schema Extraction. 295-297
Workshop Summaries
- Norman May, Nesime Tatbul:
International Workshop on Data Management on New Hardware (DaMoN). 299-300 - Danica Porobic, Tianzheng Wang:
Workshop on Simplicity in Management of Data (SiMoD). 301-302 - Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf:
Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). 303-304 - Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma:
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). 305-306 - Olaf Hartig, Yuichi Yoshida:
GRADES-NDA'23: 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). 307-308 - Sven Groppe, Le Gruenwald, Ching-Hsien Hsu:
Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE). 309-310 - Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy:
Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). 311-312 - Efthimia Aivaloglou, George Fletcher, Daphne Miedema:
DataEd'23 - 2nd International Workshop on Data Systems Education: Bridging Education Practice with Education Research. 313-314 - Tien Tuan Anh Dinh, Beng Chin Ooi, Xinying Yang:
First Workshop on Verifiable Database Systems. 315-316 - Georgia Koutrika, Nikolaos Laoutaris, Martino Trevisan:
Second Data Economy Workshop (DEC). 317-318
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