SDM2025: SIAM Data Mining 2025 Westin Alexandria Old Town Alexandria, VA, United States, May 1-3, 2025 |
| Conference website | https://www.siam.org/conferences-events/siam-conferences/sdm25/ |
| Submission link | https://easychair.org/conferences/?conf=sdm2025 |
| Abstract registration deadline | September 27, 2024 |
| Submission deadline | October 4, 2024 |
Call for Papers for SIAM Data Mining Conference 2025
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.
Topics of Interest:
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
Important Dates
- Abstract Submission: September 27, 2024 11:59pm (US Pacific Time)
- Blue Sky Idea Submission: September 27, 2024 11:59pm (US Pacific Time)
- Paper Submission: October 4, 2024 11:59pm (US Pacific Time)
- Workshop Proposals: October 11, 2024 11:59pm (US Pacific Time)
- Tutorial Proposals: October 11, 2024 11:59pm (US Pacific Time)
- Paper acceptance decisions out: December 20, 2024
- Camera-Ready Papers Due: January 20, 2024
- Conference Dates: May 1 - 3, 2025
Submission Guidelines
Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be prepared following the SIAM conference format and should be no longer than eight (8) pages, including all text, figures. References and appendices are unlimited and may not be reviewed.
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.
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 2025.
Use of Large Language Models (LLMs): Authors must abide by SIAM’s policy on the use of AI tools, which can be found here: https://epubs.siam.org/artificial-intelligence
Doctoral Forum
The conference also includes a Doctoral Forum designed for graduate students to present their research and receive feedback from experienced researchers. This is an excellent opportunity for networking and gaining insights from peers and experts in the field.
Workshops and Tutorials
SDM 2025 will feature a variety of focused workshops and tutorials. These sessions are included with conference registration and provide attendees with opportunities to learn about cutting-edge research and emerging topics in data mining.
Organizing Committee Chairs:
- Matteo Riondato, Amherst College (mriondato@amherst.edu)
- Vagelis Papalexakis, University of California Riverside (epapalex@cs.ucr.edu)
Program Committee Chairs:
- Elena Zheleva, University of Illinois Chicago (ezheleva@uic.edu)
- Tim Weninger, Univeristy of Notre Dame (tweninger@nd.edu)
Proceedings
The proceedings of the conference will be published in archival form and will also be made available on the SIAM website.
We look forward to your contributions and to seeing you at the SIAM Data Mining Conference 2025!
Please submit your paper through the SDM 2025 submission site: https://easychair.org/conferences/?conf=sdm2025