SIAM Conference on Data Mining (SDM24)

SIAM Conference

SIAM International Conference on Data Mining (SDM24)

April 18 - 20, 2024

Westin Houston, Memorial City | Houston, TX, U.S.

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About the Conference

About the Conference


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

Data mining is the computational process for discovering valuable knowledge from data – the core of Data Science. It has enormous application 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, which are based on sound theoretical and statistical foundations. 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.

This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students to network and get feedback for their work (as part of the doctoral forum). Everyone new to the field can also learn about cutting-edge research by hearing outstanding invited speakers and attending presentations and tutorials (included with conference registration). A set of focused workshops are also scheduled during the conference. The proceedings of the conference are published in archival form and are also made available online.

Included Themes

Included Themes

Methods and Algorithms

  • Anomaly & outlier detection
  • Big data & large-scale systems
  • Classification & semi-supervised learning
  • Clustering & unsupervised learning
  • Data cleaning & integration
  • Deep learning & representation learning
  • 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
  • Climate/ecological/environmental science
  • Customer relationship management
  • Data science
  • Drug discovery
  • Finance
  • Genomics & bioinformatics
  • Healthcare management
  • High energy physics
  • Intelligence analysis
  • Internet of things
  • Intrusion & fraud detection
  • Logistics management
  • Recommendation
  • Risk management
  • Social network analysis
  • Other emerging applications

Human Factors and Social Issues

  • Ethics of data mining
  • Intellectual ownership
  • 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

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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 empowering equitable, diverse, and inclusive participation in all aspects of our community. SIAM will provide a 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 this 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, and field of expertise.

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We expect all members of SIAM and participants in SIAM activities to work towards this commitment to equity, diversity, and inclusion.

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