[Event at CIG] [CFP] SIAM SDM 2026

[SIAM SDM Publicity Chairs]

SIAM Conference on Data Mining (SDM’26)
<https://www.siam.org/conferences-events/siam-conferences/sdm26/>

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)
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   *Full Paper Submission Deadline*: April 17, 2026, 11:59 p.m. Anywhere on
   Earth (AoE)
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   *Decision Notification*: Early July 2026


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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)
<https://www.siam.org/conferences-events/siam-conferences/is26/>

SIAM Conference on Mathematics of Data Science (MDS26)
<https://www.siam.org/conferences-events/siam-conferences/mds26/>

SIAM International Conference on Data Mining (SDM26)
<https://www.siam.org/conferences-events/siam-conferences/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
<https://www.siam.org/conferences-events/siam-conferences/sdm26/>.


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.

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   Application deadline: May 15, 2026
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   Submission Link: <https://lnkd.in/geNg-Nvd>link
   <https://docs.google.com/forms/d/e/1FAIpQLSdJVklmfn34A5lQQUBcBZCWNxB1laQ93x-GN1klqgRvUYmO8w/viewform>



Submission

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SDM26 OpenReview Submission site: link
<https://openreview.net/group?id=SIAM.org/2026/Conference_on_Data_Mining#tab-recent-activity>
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
<https://www.siam.org/conferences/about-siam-conferences/proceedings#Macro>.
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 (karpatne at vt.edu) and Joyce Ho (
joyce.c.ho at emory.edu)