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

This conference is held in cooperation with the American Statistical Association.

Statement on Inclusiveness

As a professional society, SIAM is committed to providing an inclusive climate that encourages the open expression and exchange of ideas, that is free from all forms of discrimination, harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that commitment, SIAM is dedicated to the philosophy of equality of opportunity and treatment for all participants regardless of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, veteran status, field of expertise, or any other reason not related to scientific merit. This philosophy extends from SIAM conferences, to its publications, and to its governing structures and bodies. We expect all members of SIAM and participants in SIAM activities to work towards this commitment.



Best Research Paper Award
Efficient Search of the Best Warping Window for Dynamic Time Warping
Authors: Chang Wei Tan, Monash University, Australia; Matthieu Herrmann, Monash University, Australia; Germain Forestier, University of Haute Alsace, France; Geoff Webb, Monash University, Australia; Francois Petitjean, Monash University, Australia

Best Applied Data Science Paper Award
Brain EEG Time Series Selection: A Novel Graph-based Approach for Classification
Authors: Chenglong Dai, Nanjing University of Aeronautics and Astronautics, China; Jia Wu, Macquarie University, Sydney, Australia; Dechang Pi, Nanjing University of Aeronautics and Astronautics, China;  Lin Cui, Nanjing University of Aeronautics and Astronautics, China

Doctoral Forum Awards
Best Poster Award
Exploration and Mining of Temporal Data
Author: Ramoza Ahsan, Worcester Polytechnic Institute, USA

Best Poster Runner-Up Award
Tracking the Human Brain: Modeling Nonstationarity in Human Electroencephalogram
Author: Sheng-Hsiou Hsu, University of California, San Diego, USA


Doctoral Student Forum Applications for participation in the doctoral forum are due February 12, 2018. Click here for the Call for Doctoral Student Forum Participants.

San Diego Marriott Mission Valley Restaurant Map [PDF, 1MB]
San Diego Marriott Mission Valley High End [PDF, 300KB]



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Organizing Committee

Steering Committee Co-Chairs
Zoran Obradovic, Temple University, USA
Srinivasan Parthasarathy, Ohio State University, USA

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

Conference Co-Chairs
Tanya Berger-Wolf, University of Illinois at Chicago, USA
Dimitrios Gunopulos, University of Athens, Greece

Program Co-Chairs
Martin Ester, Simon Fraser University, Canada
Dino Pedreschi, University of Pisa, Italy

Workshops Co-Chairs
Joao Gama, University of Porto-LIAAD, Portugal
Jing Gao, SUNY Buffalo, USA

Tutorials Chair
Yan Liu, University of Southern California, USA

Doctoral Forum Chair
Julian McAuley, University of California, San Diego, USA

Sponsorship Co-Chairs
Matteo Riondato, TwoSigma, USA
Jiliang Tang, Michigan State University, USA

Panels Chair
Francesca Spezzano, Boise State University, USA

Publicity Co-Chairs
Zhenhui Li, Pennsylvania State University, USA
Gregor Stiglic, University of Maribor, Slovenia

Awards Chair
Zoran Obradavic, Temple University, USA

Senior Program and Program Committee



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.


Funding Agencies


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.



Methods and Algorithms


Human Factors and Social Issues


Important Deadlines

October 6, 2017 11:59PM (US Pacific Time): Abstract Submission
October 6, 2017 11:59PM (US Pacific Time): Workshop Proposals
October 6, 2017 11:59PM (US Pacific Time): Tutorial Proposals
October 13, 2017 11:59PM (US Pacific Time): Paper Submission

January 26, 2018: SIAM Student Travel Award and Post-doc/Early Career Travel Award Applications

April 3, 2018: Disconnect time is midnight EDT

April 3, 2018

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