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
2019	Automatically Generating Interesting Facts from Wikipedia Tables.	Flip Korn, Xuezhi Wang, You Wu, Cong Yu
2019	Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm.	Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas
2019	Real-Time Multi-Pattern Detection over Event Streams.	Ilya Kolchinsky, Assaf Schuster
2019	A Scalable Index for Top-k Subtree Similarity Queries.	Daniel Kocher, Nikolaus Augsten
2019	Estimating Cardinalities with Deep Sketches.	Andreas Kipf, Dimitri Vorona, Jonas Mller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter Boncz, Thomas Neumann, Alfons Kemper
2019	Border-Collie: A Wait-free, Read-optimal Algorithm for Database Logging on Multicore Hardware.	Jong-Bin Kim, Hyeongwon Jang, Seohui Son, Hyuck Han, Sooyong Kang, Hyungsoo Jung
2019	Formal Approaches to Querying Big Data in Shared-Nothing Systems.	Bas Ketsman
2019	Question answering via web extracted tables.	Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic
2019	AStream: Ad-hoc Shared Stream Processing.	Jeyhun Karimov, Tilmann Rabl, Volker Markl
2019	iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks.	Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
2019	MIFO: A Query-Semantic Aware Resource Allocation Policy.	Prajakta Kalmegh, Shivnath Babu
2019	Verifying Text Summaries of Relational Data Sets.	Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
2019	ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data.	Vimalkumar Jeyakumar, Omid Madani, Ali Parandeh, Ashutosh Kulshreshtha, Weifei Zeng, Navindra Yadav
2019	Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series.	Sren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
2019	LSM-Trees and B-Trees: The Best of Both Worlds.	Varun Jain, James Lennon, Harshita Gupta
2019	The Responsibility Challenge for Data.	H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
2019	From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems.	Stratos Idreos, Tim Kraska
2019	Autocompletion for Prefix-Abbreviated Input.	Sheng Hu, Chuan Xiao, Jianbin Qin, Yoshiharu Ishikawa, Qiang Ma
2019	X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing.	Gui Huang, Xuntao Cheng, Jianying Wang, Yujie Wang, Dengcheng He, Tieying Zhang, Feifei Li, Sheng Wang, Wei Cao, Qiang Li
2019	CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation.	Kai Huang, Huey-Eng Chua, Sourav S. Bhowmick, Byron Choi, Shuigeng Zhou
2019	Unlocking the potential of nextGen multi-model databases for semantic big data projects.	Irena Holubov, Stefanie Scherzinger
2019	PgCuckoo: Laying Plan Eggs in PostgreSQL's Nest.	Denis Hirn, Torsten Grust
2019	Towards learning a partitioning advisor with deep reinforcement learning.	Benjamin Hilprecht, Carsten Binnig, Uwe Rhm
2019	MigCast: Putting a Price Tag on Data Model Evolution in NoSQL Data Stores.	Andrea Hillenbrand, Maksym Levchenko, Uta Strl, Stefanie Scherzinger, Meike Klettke
2019	Anytime Approximation in Probabilistic Databases via Scaled Dissociations.	Maarten Van den Heuvel, Peter Ivanov, Wolfgang Gatterbauer, Floris Geerts, Martin Theobald

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Comparable venues

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