[CFP] SIAM SDM 2026
SIAM SDM Publicity Chairs
SIAM Conference on Data Mining (SDM’26)
SDM'26 (THE SIAM INTERNATIONAL CONFERENCE ON DATA MINING)
November 19–20, 2026
Salt Palace Convention Center, Salt Lake City, Utah, U.S.
CALL FOR CONTRIBUTIONS
Important Dates
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Abstract Submission Deadline: April 10, 2026, 11:59 p.m. Anywhere on Earth (AoE) (abstract required to submit a full paper)
Full Paper Submission Deadline: April 17, 2026, 11:59 p.m. Anywhere on Earth (AoE)
Decision Notification: Early July 2026
Description
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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. The proceedings of the conference are published in archival form and are also made available on the SIAM Web site.
The following meetings will be held jointly:
SIAM Conference on Imaging Science (IS26)
SIAM Conference on Mathematics of Data Science (MDS26)
SIAM International Conference on Data Mining (SDM26)
Topics of Interest
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We welcome contributions addressing all aspects of data mining, machine learning, and visual analytics, including but not limited to: Methods and Algorithms, Applications of Data Mining, Human Factors and Social Issues. More detailed topics are available on the SDM’26 website.
Doctoral Forum
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PhD students in Data Science are invited to present their dissertation research (ongoing or future work) at the Doctoral Forum of the SIAM International Conference on Data Mining (SDM26). A great opportunity to present your work, receive feedback from leading researchers, and network with the community.
Application deadline: May 15, 2026
Submission Link: link
Submission
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SDM26 OpenReview Submission site: link
Dual Submission Policy
Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to this or other conferences or journals, are not allowed and violate our dual submission policy. Papers that have been submitted to archival repositories such as arXiv may be submitted to SDM 2026.
Paper Format
All research papers should have a maximum length of eight (8) pages, including all text and figures. References and appendices are unlimited and may not be reviewed. Authors should use U.S. Letter (8.5" x 11") paper size.
Papers must be prepared in LaTeX2e, and formatted using SIAM’s double column macro. The macro is available here. Make sure you use the SIAM macro; papers prepared using other macros will not be accepted.
Review will be triple blind: submissions must be anonymized. Violations of the blind policy will result in rejection without review. Having papers on arXiv is allowed per the dual submission policy outlined below.
Policy on Large Language Models like ChatGPT
Authors are not prohibited from using large language models (LLMs) like ChatGPT to edit or polish the authors’ written text. However, the authors are responsible for ensuring the originality and correctness of the entire content of the paper. If the proposed research method involves the use of LLMs or comparison against existing LLMs, the paper needs to provide sufficient details on the methodology and implementation to ensure transparency and reproducibility (e.g., adding a paragraph on “use of large language model”). Authors will be required to disclose the use of LLMs in the paper submission form.
All questions regarding paper submissions can be sent via email to the Program Co-Chairs: Anuj Karpatne (karp...@vt.edu) and Joyce Ho (joyce...@emory.edu)