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
2021	At-the-time and Back-in-time Persistent Sketches.	Benwei Shi, Zhuoyue Zhao, Yanqing Peng, Feifei Li, Jeff M. Phillips
2021	PGMJoins: Random Join Sampling with Graphical Models.	Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou
2021	XLJoins.	Ali Mohammadi Shanghooshabad
2021	Distributed Stream KNN Join.	Amirhesam Shahvarani, Hans-Arno Jacobsen
2021	AutoAI-TS: AutoAI for Time Series Forecasting.	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 Vaculn, Petros Zerfos
2021	Towards Benchmarking Feature Type Inference for AutoML Platforms.	Vraj Shah, Jonathan Lacanlale, Premanand Kumar, Kevin Yang, Arun Kumar
2021	PCOR: Private Contextual Outlier Release via Differentially Private Search.	Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
2021	TardisDB: Extending SQL to Support Versioning.	Maximilian E. Schle, Josef Schmeier, Thomas Blum, Alfons Kemper, Thomas Neumann
2021	Structure-Aware Machine Learning over Multi-Relational Databases.	Maximilian Schleich
2021	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning.	Sebastian Schelter, Stefan Grafberger, Ted Dunning
2021	Networked data and COVID-19.	Samuel V. Scarpino
2021	Correlation Sketches for Approximate Join-Correlation Queries.	Acio S. R. Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire
2021	Graphsurge: Graph Analytics on View Collections Using Differential Computation.	Siddhartha Sahu, Semih Salihoglu
2021	SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging.	Svetlana Sagadeeva, Matthias Boehm
2021	Dynamic Structural Clustering on Graphs.	Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth
2021	Blockchains vs. Distributed Databases: Dichotomy and Fusion.	Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, Gang Chen, Qian Lin, Beng Chin Ooi
2021	Utilizing (and Designing) Modern Hardware for Data-Intensive Computations: The Role of Abstraction.	Kenneth A. Ross
2021	De-anonymization Attacks on Neuroimaging Datasets.	Vikram Ravindra, Ananth Grama
2021	Joint blockchain and federated learning-based offloading in harsh edge computing environments.	Guanjin Qu, Huaming Wu, Naichuan Cui
2021	Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries.	Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan
2021	LightNE: A Lightweight Graph Processing System for Network Embedding.	Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang
2021	A Byzantine Fault Tolerant Storage for Permissioned Blockchain.	Xiaodong Qi, Zhihao Chen, Zhao Zhang, Cheqing Jin, Aoying Zhou, Haizhen Zhuo, Quangqing Xu
2021	To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams.	Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner
2021	Index-Based Join Size Estimation Using Adaptive Sampling.	Sergiu Pocol
2021	Scalable and Usable Relational Learning With Automatic Language Bias.	Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis

751–775 of 5,910← Previous Next →

Comparable venues

Other A*/A conferences filed under the same field of research.