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
2018	Discovering Graph Functional Dependencies.	Wenfei Fan, Chunming Hu, Xueli Liu, Ping Lu
2018	An Ontology of Ownership and Control Relations for Bank Holding Companies.	Liju Fan, Mark D. Flood
2018	Crowdsourcing Analytics With CrowdCur.	Mohammadreza Esfandiari, Kavan Bharat Patel, Sihem Amer-Yahia, Senjuti Basu Roy
2018	Columnstore and B+ tree - Are Hybrid Physical Designs Important?	Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala
2018	Top-k Sorting Under Partial Order Information.	Eyal Dushkin, Tova Milo
2018	GridFormation: Towards Self-Driven Online Data Partitioning using Reinforcement Learning.	Gabriel Campero Durand, Marcus Pinnecke, Rufat Piriyev, Mahmoud Mohsen, David Broneske, Gunter Saake, Maya S. Sekeran, Fabin Rodriguez, Laxmi Balami
2018	Interactive Visual Exploration of Spatio-Temporal Urban Data Sets using Urbane.	Harish Doraiswamy, Eleni Tzirita Zacharatou, Fabio Miranda, Marcos Lage, Anastasia Ailamaki, Cludio T. Silva, Juliana Freire
2018	Data Integration and Machine Learning: A Natural Synergy.	Xin Luna Dong, Theodoros Rekatsinas
2018	Machine Learning for Data Management: Problems and Solutions.	Pedro M. Domingos
2018	Human-in-the-Loop Data Analysis: A Personal Perspective.	AnHai Doan
2018	Overlap Set Similarity Joins with Theoretical Guarantees.	Dong Deng, Yufei Tao, Guoliang Li
2018	Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging.	Niv Dayan, Stratos Idreos
2018	Fine-grained Concept Linking using Neural Networks in Healthcare.	Jian Dai, Meihui Zhang, Gang Chen, Ju Fan, Kee Yuan Ngiam, Beng Chin Ooi
2018	Marginal Release Under Local Differential Privacy.	Graham Cormode, Tejas Kulkarni, Divesh Srivastava
2018	Privacy at Scale: Local Differential Privacy in Practice.	Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang
2018	A Query Engine for Probabilistic Preferences.	Uzi Cohen, Batya Kenig, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
2018	SSD as SQLite Engine.	Soyee Choi
2018	Worst Case Optimal Joins on Relational and XML data.	Yuxing Chen
2018	FASTER: A Concurrent Key-Value Store with In-Place Updates.	Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin J. Levandoski, James Hunter, Mike Barnett
2018	TcpRT: Instrument and Diagnostic Analysis System for Service Quality of Cloud Databases at Massive Scale in Real-time.	Wei Cao, Yusong Gao, Bingchen Lin, Xiaojie Feng, Yu Xie, Xiao Lou, Peng Wang
2018	Tighter Upper Bounds for Join Cardinality Estimates.	Walter Cai
2018	Kubernetes and the New Cloud.	Eric A. Brewer
2018	Draining the Data Swamp: A Similarity-based Approach.	Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin
2018	Choosing Models to Explore Financial Supply Chain Relationships.	Margrt V. Bjarnadttir, Aaron Hunt, Louiqa Raschid
2018	Towards Interactive Curation & Automatic Tuning of ML Pipelines.	Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen

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Comparable venues

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