ACM Special Interest Group on Management of Data Conference

SIGMOD

CORE rank

CORE rank (raw)

Acceptance rate

20.0% (2024)

Fields of research

Data Management and Data Science

Papers indexed

5,910

1970–2026

Best Databases and Data Management conferences Best Data Science and Information Retrieval conferences

Papers per year

1970299 peak2026

Most published authors

SIGMOD papers

5,910 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Link Local Differential Privacy in GNNs via Bayesian Estimation.	Xiaochen Zhu
2023	Dike: A Benchmark Suite for Distributed Transactional Databases.	Huidong Zhang, Luyi Qu, Qingshuai Wang, Rong Zhang, Peng Cai, Quanqing Xu, Zhifeng Yang, Chuanhui Yang
2023	SynopsisDB: Distributed Synopsis-based Data Processing System.	Xin Zhang
2023	NEXUS: On Explaining Confounding Bias.	Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	Pay "Attention" to Chart Images for What You Read on Text.	Chenyu Yang, Ruixue Fan, Nan Tang, Meihui Zhang, Xiaoman Zhao, Ju Fan, Xiaoyong Du
2023	Dangoron: Network Construction on Large-scale Time Series Data across Sliding Windows.	Yunlong Xu, Peizhen Yang, Zhengbin Tao
2023	Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research.	Tobias Winker, Sven Groppe, Valter Uotila, Zhengtong Yan, Jiaheng Lu, Maja Franz, Wolfgang Mauerer
2023	ARENA: Alternative Relational Query Plan Exploration for Database Education.	Hu Wang, Hui Li, Sourav S. Bhowmick, Baochao Xu
2023	Disaggregated Database Systems.	Jianguo Wang, Qizhen Zhang
2023	Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language.	Immanuel Trummer
2023	Fairness in Ranking: From Values to Technical Choices and Back.	Julia Stoyanovich, Meike Zehlike, Ke Yang
2023	Fast Joint Shapley Values.	Mihail Stoian
2023	Faster FFT-based Wildcard Pattern Matching.	Mihail Stoian
2023	Efficient Query Processing in Python Using Compilation.	Hesam Shahrokhi, Callum Groeger, Yizhuo Yang, Amir Shaikhha
2023	Proactively Screening Machine Learning Pipelines with ARGUSEYES.	Sebastian Schelter, Stefan Grafberger, Shubha Guha, Bojan Karlas, Ce Zhang
2023	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift.	Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy
2023	SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes.	Kashif Rabbani, Matteo Lissandrini, Katja Hose
2023	Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.	Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023	Workshop on Simplicity in Management of Data (SiMoD).	Danica Porobic, Tianzheng Wang
2023	A Demonstration of KAMEL: A Scalable BERT-based System for Trajectory Imputation.	Mashaal Musleh, Mohamed F. Mokbel
2023	Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.	Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grmling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang
2023	Dexer: Detecting and Explaining Biased Representation in Ranking.	Yuval Moskovitch, Jinyang Li, H. V. Jagadish
2023	Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA).	Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy
2023	SmokedDuck Demonstration: SQLStepper.	Haneen Mohammed, Charlie Summers, Sughosh V. Kaushik, Eugene Wu
2023	Characterizing and Verifying Queries Via CINSGEN.	Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang

376–400 of 5,910← Previous Next →

Comparable venues

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