View a list of the SDM19 Workshops and Tutorials.
Check out local restaurant recommendations.
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.
Methods and Algorithms
Human Factors and Social Issues
Zoran ObradovicTemple University, U.S.Srinivasan ParthasarathyOhio State University, U.S.
Tanya Berger-WolfUniversity of Illinois at Chicago, U.S.Nitesh ChawlaUniversity of Notre Dame, U.S.
Jennifer NevillePurdue University, U.S.Xifeng YanUniversity of California Santa Barbara, U.S.
Fosca GiannottiNational Research Council, ItalyYizhou SunUniversity of California Los Angeles, U.S.
B. Aditya PrakashVirginia Tech, U.S.
Huzefa RangwalaGeorge Mason University, U.S.Matteo RiondatoTwo Sigma, U.S.
Jilles Vreeken Max Planck Institute for Informatics, Germany
Vagelis PapalexakisUniversity of California Riverside, U.S.Francois PetitjeanMonash University, U.S.Huan SunOhio State University, U.S.
Haesun ParkGeorgia Tech, U.S.
Nesreen AhmedIntel Labs, U.S.
Chid ApteIBM T.J. Watson Research Center, U.S.Christos FaloutsosCarnegie Mellon University, U.S.Joydeep GhoshThe University of Texas at Austin, U.S.Jiawei HanUniversity of Illinois at Urbana-Champaign, U.S.Chandrika KamathLawrence Livermore National Laboratory, U.S.Vipin KumarUniversity of Minnesota, U.S.Haesun ParkGeorgia Institute of Technology, U.S.Srinivasan ParthasarathyOhio State University, U.S.Qiang YangHong Kong University of Science and Technology, U.S.Philip YuUniversity of Illinois at Chicago, U.S.
SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of this conference.
SIAM invites you to show support of this meeting through sponsorship opportunities ranging from support of receptions, audio-video needs, to awards for student travel, and more.
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