SDM 2025 : THE 25th SIAM INTERNATIONAL CONFERENCE ON DATA MINING

SDM'25 (THE 25th SIAM INTERNATIONAL CONFERENCE ON DATA MINING)

May 1 - 3, 2025

The Westin Alexandria Old Town Hotel | Alexandria, Virginia, U.S.

SIAM Conference on Data Mining (SDM25)


------------ CALL FOR CONTRIBUTIONS ------------
Abstract Submission: September 27, 2024, 11:59 pm (US Pacific time)
Full Paper Submission: October 4, 2024, 11:59 pm (US Pacific time)
Blue Sky Idea Submission: October 4, 2024, 11:59 pm (US Pacific time)
Workshop Proposals: October 11, 2024, 11:59 pm (US Pacific time)
Tutorial Proposals: October 11, 2024, 11:59 pm (US Pacific time)
Apply for Assistance (Travel Fund Application Deadline: SIAM Student Travel Award and Early Career Travel Award Applications): January 30, 2025, 11:59 pm (US Pacific time)

DESCRIPTION
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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 is 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 on a wide range of topics, including data mining methods and algorithms, applications, and topics related to human factors and social Issues.


TOPICS OF INTEREST:
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We welcome contributions addressing all aspects of data mining, including but not limited to:

Methods and Algorithms
- Anomaly & Outlier Detection
- Big Data & Large-Scale Systems
- Causal Inference
- Classification & Semi-Supervised Learning
- Clustering & Unsupervised Learning
- Data Cleaning & Integration
- Deep Learning & Representation Learning
- Pattern Mining
- 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
- Optimization Methods
- Parallel and Distributed Methods
- Probabilistic & Statistical Methods
- Scalable & High-Performance Mining

Applications of Data Mining
- Business and Marketing
- Healthcare
- Social Media
- Scientific Data

Human Factors and Social Issues
- Ethics of Data Mining
- Intellectual Ownership
- Privacy and Fairness Models
- Privacy Preserving Data Mining
- Risk Analysis and Risk Management
- Transparency and Algorithmic Bias
- User Interfaces and Visual Analytics



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

Please see the SDM 2025 website to see what workshops and tutorials are available and see the submission requirements: https://www.siam.org/conferences-events/siam-conferences/sdm25/

BLUE SKY IDEA TRACK
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Blue Sky Idea Track: SDM’25 is excited to announce the Blue Sky Idea Track. 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 research directions. These are not typical conference research papers, rather they are expected to be visionary papers that set a direction.


SUBMISSION
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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 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. The 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.


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 must disclose the use of LLMs in the paper submission form.


Visit https://easychair.org/conferences/?conf=sdm2025 to register your abstract and upload your manuscript.


FOLLOW SDM
https://x.com/SIAMDataMining
https://www.instagram.com/siamdatamining/
https://www.threads.net/@siamdatamining


X hashtag:
#SIAMSDM25
ORGANIZATION
General Co-chairs
Vagelis Papalexakis, University of California, Riverside U.S.
Matteo Riondato, Amherst College, U.S.


Program Co-chairs
Tim Weninger, University of Notre Dame, U.S.
Elena Zheleva, University of Illinois at Chicago, U.S.


Workshops Co-Chairs
Qi Li, Iowa State University, U.S.
Hua Wei, Arizona State University, U.S.


Steering Committee Chair
Zoran Obradovic, Temple University, U.S.