This meeting is sponsored by the SIAM Activity Group on Data Science.

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
• Applications of Data Mining
• Human Factors and Social Issues