Prof. Xifeng Yan is serving as program co-chair of the 2019 SIAM International Conference on Data Mining (SDM19), which will be held in Calgary, Canada between May 2 and 4, 2019. The conference is sponsored by the SIAM Activity Group on Data Mining and Analytics and held in cooperation with the American Statistical Association.
Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques, in turn, require implementations on high-performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.
SIAM Data Mining has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SIAM Data Mining emphasizes principled methods with a solid mathematical foundation, is known for its high-quality and high-impact technical papers and offers a strong workshop and tutorial program.