SIAM International Conference on Data Mining (SDM20)

About the Conference

SIAM International Conference on Data Mining (SDM20) has been canceled. Read SIAM’s Response to the International Outbreak of the Novel Coronavirus Disease (COVID-19).

Sponsored by the SIAM Activity Group on Data Mining and Analytics.
This conference is held in cooperation with the American Statistical Association.

This meeting is co-located with the SIAM Conference on Mathematics of Data Science (MDS20), May 5-8, 2020.

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 Chair

Zoran Obradovic, Temple University, U.S.

Program Co-Chairs

Yan Liu, University of Southern California, U.S.
Sriraam Natarajan, University of Texas at Dallas, U.S.

General Co-Chairs

Nitesh Chawla, University of Notre Dame, U.S.
Carlotta Domeniconi, George Mason University, U.S.

Workshop Co-Chairs

Yuxiao Dong, Microsoft Research, U.S.
Gregor Stiglic, University of Maribor, Slovenia

Tutorials Chairs

Danai Koutra, University of Michigan, U.S.

Doctoral Forum Co-Chairs

Brandeis Marshall, Spelman College, U.S.
Matteo Riondato, Amherst College, U.S.

Panels Co-Chairs

Zhenhui Jessie Li, Penn State University, U.S.
Raju Vatsavai, North Carolina State University, U.S.

Publicity Co-Chairs

Sourangshu Bhattacharya, IIT Kharagpur, India
Alfredo Cuzzocrea, University of Trieste, Italy
Xiang Ren, University of Southern California, U.S.

Sponsorship Co-Chairs

David Cieslak, Aunalytics, U.S.
Joyce Ho, Emory University, U.S.

Local Chair

Ping Zhang, Ohio State University, U.S.

Steering Committee

Chid Apte, IBM T.J. Watson Research Center, U.S.
Christos Faloutsos, Cargenie Mellon University, U.S.
Joydeep Ghosh, 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.
Zoran Obradovic, Temple University, 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.

Senior Program Committee

View a list of the Senior Program Committee members here.

Program Committee

View a list of the Program Committee members here.

Funding Agency

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation and DOE Office of Advanced Scientific Computing Research for their support of this conference.

Thank You to Our Sponsors

IBM Research AI
NSA
TWO SIGMA

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