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SDM 2024 : SIAM International Conference on Data Mining


Conference Series : SIAM International Conference on Data Mining
When Apr 18, 2024 - Apr 20, 2024
Where Houston, US
Abstract Registration Due Sep 15, 2023
Submission Deadline Sep 22, 2023
Categories    data mining

Call For Papers


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)

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. To this end, we seek contributions that focus on:

Methods and Algorithms
- Anomaly & outlier detection
- Big data & large-scale systems
- Classification & semi-supervised learning
- Clustering & unsupervised learning
- Data cleaning & integration
- Deep learning & representation learning
- 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
- Online algorithms
- Optimization methods
- Parallel and distributed methods
- Probabilistic & statistical methods
- Scalable & high-performance mining
- Other novel methods

- Astronomy & astrophysics
- Climate/ecological/environmental science
- Customer relationship management
- Data science
- Drug discovery
- Finance
- Genomics & bioinformatics
- Healthcare management
- High energy physics
- Intelligence analysis
- Internet of things
- Intrusion & fraud detection
- Logistics management
- Recommendation
- Risk management
- Social network analysis
- Other emerging applications

Human Factors and Social Issues
- Ethics of data mining
- Intellectual ownership
- Interestingness & relevance
- Privacy and fairness models
- Privacy preserving data mining
- Risk analysis and risk management
- Transparency and algorithmic bias
- User interfaces and visual analytics
- Other human and social issues

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.

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.

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. Make sure you use the SIAM macro; papers prepared using other macros will not be accepted.

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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General Co-chairs
Shashi Shekhar, University of Minnesota, U.S.
Vagelis Papalexakis, University of California, U.S.

Program Co-chairs
Jing Gao, Purdue University, U.S.
Zhe Jiang, University of Florida, U.S.

Workshops Co-Chairs
Anuj Karpatne, Virginia Tech, U.S
Danai Koutra, University of Michigan, U.S.

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

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