SIAM International Conference on Data Mining (SDM21)

SIAM Conference

HAPPENING VIRTUALLY: SIAM International Conference on Data Mining (SDM21)

April 29 - May 1, 2021

Virtual Conference


Conference Announcements

Announcements and important information for this conference.


Are you a presenter or organizer? Check out the SDM21 Participant Guide below.

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The proceedings and online program are now available!

~*Proceedings*~ ~* Online Program*~

All 2021 SIAM virtual conferences will have a virtual gathering space for attendees.

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Upcoming conference deadlines and important dates.

About the Conference

About the Conference


This meeting is sponsored by the SIAM Activity Group on Data Science.

This conference is held in cooperation with the American Statistical Association.

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

SDM has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program (which are included in the conference registration). The proceedings of the conference are published in archival form, and are also made available on the SIAM website.

Included Themes

Included Themes

Methods and Algorithms

  • Data Mining Foundations and Theory
  • Anomaly & Outlier Detection
  • Big Data & Large-Scale Systems
  • Classification & Semi-Supervised Learning
  • Clustering & Unsupervised Learning
  • Data Cleaning & Integration
  • Deep Learning & Representation Learning
  • Frequent Pattern Mining
  • Feature Extraction, Selection and Dimensionality Reduction
  • Mining Data Streams
  • Mining Graphs & Complex Data
  • Mining on Emerging Architectures & Data Clouds
  • Mining Semi Structured Data
  • Mining Spatial & Temporal Data
  • Mining Text, Web & Social Media
  • Online Algorithms
  • Optimization Methods
  • Parallel and Distributed Methods
  • Probabilistic & Statistical Methods
  • Scalable & High-Performance Mining
  • Other Novel Methods


  • Astronomy & Astrophysics
  • Automation & Process Control
  • Climate / Ecological / Environmental Science
  • Customer Relationship Management
  • Discovering Misinformation and Misbehavior
  • Drug Discovery
  • Finance
  • Forecasting & Preventing Epidemics
  • Genomics & Bioinformatics
  • Healthcare Management
  • High Energy Physics
  • Intelligence Analysis
  • Internet of Things
  • Intrusion & Fraud detection
  • Logistics Management
  • Recommendation
  • Risk Management
  • Social Network Analysis
  • Supply Chain Management
  • Other Emerging Applications

Human Factors and Social Issues

  • Ethics of Data Mining
  • Fairness- and Bias-aware Data Mining, Information Retrieval, and Recommendation
  • Interpretable Learning Models / Explainable AI
  • Causal Inference and Estimation of Treatment Effect
  • Interestingness & Relevance
  • Privacy and Fairness Models
  • Privacy Preserving Data Mining
  • Risk Analysis and Risk Management
  • Transparency and Algorithmic Bias
  • User Interfaces and Visual Analytics
  • Other Human and Social Issues

Conference Committees

Related on SIAM News

Conference Sponsors

Funding Agency

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation and DOE Office of Advanced Scientific Computing Research for their support.

Ways to Sponsor

SIAM invites you to show support of this meeting through sponsorship opportunities ranging from support of receptions, audio-video needs, to awards for student travel, and more.

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Thank you to our sponsors

Thank you to our conference sponsors

Thank you to our sponsors

Statement on Equity, Diversity, and Inclusion

As a professional society, SIAM is committed to providing an inclusive climate that encourages the open expression and exchange of ideas, that is free from all forms of discrimination, harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that commitment, SIAM is dedicated to the philosophy of equality of opportunity and treatment for all participants regardless of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, veteran status, field of expertise, or any other reason not related to scientific merit. This philosophy extends from SIAM conferences, to its publications, and to its governing structures and bodies. We expect all members of SIAM and participants in SIAM activities to work toward this commitment.

If you have experienced or observed behavior that is not consistent with the principles expressed above, you are encouraged to report any violation using the SIAM hotline, hosted by the third-party hotline provider, EthicsPoint. The information you provide will be sent to us by EthicsPoint on a totally confidential and anonymous basis if you should choose. You have our guarantee that your comments will be heard. Please submit reports here.