[Event at CIG] [CFP] SIAM SDM'24

[SIAM SDM Publicity Chairs]

SDM'24: THE 24th SIAM INTERNATIONAL CONFERENCE ON DATA MINING
<https://www.siam.org/conferences/cm/conference/sdm24>

April 18 - 20, 2024

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


CALL FOR CONTRIBUTIONS

Abstract Submission: September 15, 2023, 11:59pm (US Pacific time)

Full Paper Submission: September 22, 2023, 11:59pm (US Pacific time)

Blue Sky Idea Submission: September 22, 2023, 11:59pm (US Pacific time)

Workshop Proposals: October 6, 2023, 11:59pm (US Pacific time)

Tutorial Proposals: October 6, 2023, 11:59pm (US Pacific time)

Apply for Assistance (Travel Fund Application Deadline: SIAM Student Travel
Award and Early Career Travel Award Applications): January 18, 2024,
11:59pm (US Pacific time)

DESCRIPTION

We invite researchers and practitioners to contribute to the SIAM
Conference on Data Mining and Knowledge Discovery (SIAM-SDM), a platform
for the exploration and dissemination of valuable knowledge derived from
data—the heart of Data Science. This conference serves as a vital forum for
addressing challenges in various domains, including science, engineering,
healthcare, business, and medicine, where vast, intricate, and noisy
datasets demand sophisticated and principled analysis techniques.

Data mining plays a pivotal role in extracting insights and patterns from
large datasets, driving advancements in diverse fields. We are seeking
publications in a wide range of topics, including data mining methods and
algorithms, applications, as well as topics related to human factors and
social Issues.


WORKSHOPS AND TUTORIALS


A series of focused workshops will be held on the conference's final day,
providing a collaborative space to delve deeper into specific data mining
topics.

Please see the SDM 2024 website to see what workshops and tutorials are
available and see the submission requirements.

https://www.siam.org/conferences/cm/conference/sdm24

BLUE SKY IDEA TRACK


Blue Sky Idea Track: SDM’24 is excited to announce the Blue Sky Idea Track,
a first for Data Mining conferences. The goal of the Blue Sky Idea Track is
to invite members of our research community to present position papers that
may help inform or shape new directions of research. These are not typical
conference research papers, rather they are expected to be visionary papers
that set a direction.


SUBMISSION


Accepted contributions will be published in archival form and made
available on the SIAM website, ensuring wide dissemination and recognition
for your valuable research. Authors are requested to submit original and
unpublished work, adhering to the formatting and submission guidelines
available on the conference website.

All papers should have a maximum length of nine pages (single-spaced, two
column, 10-point font, and at least 1" margin on each side). Authors should
use U.S. Letter (8.5" x 11") paper size. Papers must have an abstract with
a maximum of 300 words and a keyword list with no more than six keywords.
Authors are required to submit their papers electronically in PDF format
(postscript files can be converted using standard converters) through
Microsoft CMT.


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.

https://cmt3.research.microsoft.com/SDM2024


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.

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