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.

 

Announcements

Best Research Paper Award
Uplift Modeling with Multiple Treatments and General Response Types
Authors: Yan Zhao, Massachusetts Institute of Technology, USA; Xiao Fang, Massachusetts Institute of Technology, USA; David Simchi-Levi, Massachusetts Institute of Technology, USA

Best Application Paper
Cumulative Knowledge-based Regression Models for Next-term Grade Prediction
Authors: Sara Morsy, University of Minnesota, USA; George Karypis, University of Minnesota, USA

Doctoral Forum Best Poster Award
Interactive Multi-Task Relationship Learning,
Author: Kaixiang Lin, Michigan State University, USA

Doctoral Forum Best Poster Runner-Up Award
Accelerated Attributed Network Embedding,
Author: Xiao Huang, Texas A&M University, USA

 

Full Restaurant List for Westin Galleria Houston [PDF, 300KB]
Summarized Restaurant List for Westin Galleria Houston [PDF, 100KB]

 

Click here to view the list of participants for the Doctoral Forum. [PDF, 80KB]

 

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Organizing Committee

Steering Committee Chair
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
Carlotta Domeniconi, George Mason University, USA
Dimitrios Gunopulos, University of Athens, Greece

Program Co-Chairs
Nitesh Chawla, University of Notre Dame, USA
Wei Wang, University of California, Los Angeles, USA

Workshops Co-Chairs
Leman Akoglu, Carnegie Mellon University, USA
Arthur Zimek, University of Southern Denmark, Denmark

Tutorials Chair
Jilles Vreeken, Saarland University and Max Planck Institute for Informatics, Germany

Doctoral Forum Chair
Shuiwang Ji, Washington State University, USA

Sponsorship Co-Chairs
James Faghmous, Icahn School of Medicine, Mount Sinai, USA
Jiliang Tang, Yahoo Research, USA

Panels Chair
Chris Jermaine, Rice University, USA

Publicity Co-Chairs
Danai Koutra, University of Michigan, USA
Matthijs van Leeuwen, Leiden University, The Netherlands
Panagiotis Papapetrou, Stockholm University, Sweden

Awards Chair
Zoran Obradovic, Temple University, USA

Senior Program Committee

Program Committee

 

Description

Data mining is the computational process for discovering valuable knowledge from data. It has enormous application 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, which are based on sound theoretical and statistical foundations. 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, and application developers from different disciplines.

The SDM conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students and others new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending presentations and tutorials (included with conference registration). A set of focused workshops is also held on the last day of the conference. The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

 

Funding Agency

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.

 

Themes

Methods and Algorithms

• Classification
• Clustering
• Frequent Pattern Mining
• Probabilistic & Statistical Methods
• Graphical Models
• Spatial & Temporal Mining
• Data Stream Mining
• Anomaly & Outlier Detection
• Feature Extraction, Selection and Dimension Reduction
• Mining with Constraints
• Data Cleaning & Preprocessing
• Computational Learning Theory
• Multi-Task Learning
• Online Algorithms
• Big Data, Scalable & High-Performance Computing Techniques
• Mining with Data Clouds
• Mining Graphs
• Mining Semi Structured Data
• Mining Complex Datasets
• Mining on Emerging Architectures
• Text & Web Mining
• Optimization Methods
• Other Novel Methods

Applications

• Astronomy & Astrophysics
• High Energy Physics
• Collaborative Filtering
• Climate / Ecological / Environmental  Science
• Risk Management
• Supply Chain Management
• Customer Relationship Management
• Finance
• Genomics & Bioinformatics
• Drug Discovery
• Healthcare Management
• Automation & Process Control
• Logistics Management
• Intrusion & Fraud detection
• Bio-surveillance 
• Sensor Network Applications
• Social and Information Network Analyses
• Educational Data Mining
• Intelligence Analysis
• Other Novel Applications & Case Studies

Human Factors and Social Issues

• Ethics of Data Mining
• Intellectual Ownership
• Privacy Models
• Privacy Preserving Data Mining & Data Publishing
• Risk Analysis
• User Interfaces
• Interestingness & Relevance
• Data & Result Visualization
• Other Human Factors and Social Issues

 

Important Deadlines

SUBMISSION DEADLINES
October 8, 2016, 11:59 PM (US Pacific Time): Abstract Submission
October 8, 2016, 11:59 PM (US Pacific Time): Workshop Proposals
October 8, 2016, 11:59 PM (US Pacific Time): Tutorial Proposals
October 15, 2016, 11:59 PM (US Pacific Time): Paper Submission

TRAVEL FUND APPLICATION DEADLINE
January 27, 2017: SIAM Student Travel Award and Post-doc/Early Career Travel Award Applications

PRE-REGISTRATION RATE DEADLINE
March 30, 2017: Disconnect time is midnight EDT

HOTEL RESERVATION DEADLINE
March 28, 2017