SIAM International Conference on Data Mining (SDM19)

About the Conference

Sponsored by the SIAM Activity Group on Data Mining and Analytics.
This conference is 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.

SDM 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. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program (which are included in the conference registration). The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

Steering Committee Co-Chairs

Zoran Obradovic, Temple University, U.S.
Srinivasan Parthasarathy, Ohio State University, U.S.

Conference General Co-Chairs

Tanya Berger-Wolf, University of Illinois at Chicago, U.S.
Nitesh Chawla, University of Notre Dame, U.S.

Conference Program Co-Chairs

Jennifer Neville, Purdue University, U.S.
Xifeng Yan, University of California Santa Barbara, U.S.

Workshop Co-Chairs

Fosca Giannotti, National Research Council, Italy
Yizhou Sun, University of California Los Angeles, U.S.

Tutorials Chair

B. Aditya Prakash, Virginia Tech, U.S.

Doctoral Forum Co-Chairs

Huzefa Rangwala, George Mason University, U.S.
Matteo Riondato, Two Sigma, U.S. 

Panels Chair

Jilles Vreeken, Max Planck Institute for Informatics, Germany

Publicity Co-Chairs

Vagelis Papalexakis, University of California Riverside, U.S.
Francois Petitjean, Monash University, U.S.
Huan Sun, Ohio State University, U.S.

Awards Chair

Haesun Park, Georgia Tech, U.S.

Sponsorship Chair

Nesreen Ahmed, Intel Labs, U.S.

Steering Committee

Chid Apte, IBM T.J. Watson Research Center, U.S.
Christos Faloutsos, Carnegie Mellon University, U.S.
Joydeep Ghosh, The University of Texas at Austin, U.S.
Jiawei Han, University of Illinois at Urbana-Champaign, U.S.
Chandrika Kamath, Lawrence Livermore National Laboratory, U.S.
Vipin Kumar, University of Minnesota, U.S.
Haesun Park, Georgia Institute of Technology, U.S.
Srinivasan Parthasarathy, Ohio State University, U.S.
Qiang Yang, Hong Kong University of Science and Technology, U.S.
Philip Yu, University of Illinois at Chicago, U.S.

Funding Agency

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation  for their support.

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