# SDM — SIAM International Conference on Data Mining

- **Submission deadline**: 2026-04-10
- **Conference date**: 2026-11-19
- **Location**: Salt Lake City, Utah, USA
- **Rankings**: CCF B · CORE A · QUALIS A2
- **Conference Partner Index**: 86.0/100 (ranked #116, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 203
- **Attendees**: 24
- **Canonical page**: https://www.myhuiban.com/conference/146

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2008 | 282 | 40 | 14.2% |
| 2007 | 302 | 36 | 11.9% |
| 2005 | 218 | 40 | 18.3% |
| 2002 | 250 | 34 | 13.6% |

## Call for papers

Topics of Interest: We welcome contributions addressing all aspects of data mining, machine learning, and visual analytics, including but not limited to: Included Themes Methods and Algorithms Anomaly & outlier detection Big data & large-scale systems Causal inference Classification & semi-supervised learning Clustering & unsupervised learning Data cleaning & integration Datasets & benchmarks Deep learning & representation learning Generative artificial intelligence (AI), foundation models, & agentic AI Knowledge-guided and physics-informed machine learning Mining data streams Mining graphs & complex data Mining on emerging architectures & data clouds Mining spatial & temporal data Mining text, web & social media Optimization methods Parallel & distributed methods Probabilistic & statistical methods Scalable & high-performance mining Self-supervised learning & reinforcement learning Transfer learning, continual learning, lifelong learning, & open-ended learning Visualization & interactive analytics Applications of Data Mining AI for Science (climate science, hydrology, neuroscience, cognitive science, material science, life sciences, chemistry, physics, engineering, etc.) Business & marketing Healthcare & bioinformatics Scientific hypothesis generation & validation Human Factors and Social Issues Ethics of data mining Intellectual ownership Interpretable, explainable, & trustworthy AI Privacy & fairness models Privacy preserving data mining Risk analysis & risk management Transparency & algorithmic bias

## Related conferences

- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405
- ICASSP — International Conference on Acoustics, Speech and Signal Processing — https://www.myhuiban.com/conference/429
- PODS — ACM SIGMOD Conference on Principles of DB Systems — https://www.myhuiban.com/conference/138
- ICME — International Conference on Multimedia and Expo — https://www.myhuiban.com/conference/278

## Related journals

- SIAM Journal on Computing — https://www.myhuiban.com/journal/59
- SIAM Journal on Imaging Sciences — https://www.myhuiban.com/journal/151
- SIAM Journal on Discrete Mathematics — https://www.myhuiban.com/journal/694
- Software & Systems Modeling — https://www.myhuiban.com/journal/99
- Pattern Recognition — https://www.myhuiban.com/journal/198

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Source: Conference Partner — https://www.myhuiban.com/conference/146 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)