SIAM International Conference on Data Mining (SDM)

The SIAM Data Mining (SDM) conference invites submissions of high-quality research papers that present original results on data mining algorithms and their applications. Data mining is a core process within computing and statistics, aimed at discovering valuable knowledge from data. This field has significant applications across various domains including science, engineering, healthcare, business, and medicine. Datasets in these fields are typically large, complex, and noisy, necessitating sophisticated, high-performance analysis techniques grounded in sound theoretical and statistical principles. The SDM 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) and everyone new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending presentations, tutorials and a number of focused workshops.

SIAM International Conference on Data Mining (SDM)

Events

SIAM International Conference on Data Mining (SDM26)

SIAM International Conference on Data Mining (SDM26)

by Society for Industrial and Applied Mathematics (SIAM)

Applied Mathematics

SDM26 will be held jointly with the SIAM Conference on Imaging Science (IS26) and the SIAM Conference on Mathematics of Data Science (MDS26). This meeting is sponsored by the SIAM Activity Group on Data Science. The conference invites submissions of high-quality research papers presenting original results on data mining algorithms and their applications, covering methods and algorithms, applications of data mining, and human factors and social issues in data mining and AI.

Nov 19, 2026 - Nov 20, 2026
Salt Lake City, U.S.
Data Mining
Data Science
Machine Learning
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