
Sponsored by the SIAM Activity Group on Data Mining and Analytics.
This conference is held in cooperation with the American Statistical Association.
Announcements
A Facebook link to RSVP to the conference, connect with other attendees and find roommates will be posted here in July 2013.
If you are tweeting about the conference, please use the designated hashtag to enable other attendees to keep up with the Twitter conversation and to allow better archiving of our conference discussions. The hashtag for this meeting is #SIAMSDM14.
Organizing Committee
Steering Committee Chairs
Chandrika Kamath, Lawrence Livermore National Laboratory, USA
Srinivasan Parthasarathy, Ohio State University, USA
Conference Chairs
Zoran Obradovic, Temple University, USA
Mohammed Zaki, Rensselaer Polytechnic Institute (RPI), USA
Program Chairs
Pang Ning Tan, Michigan State University, USA
Arindam Banerjee, University of Minnesota, USA
Workshop Chairs
Tina Eliassi-Rad, Rutgers University, USA
Amol Ghoting, IBM T.J. Watson Research Center, USA
Tutorial Chair
Suresh Venkatasubramanian, University of Utah, USA
Publicity Chairs
Xiaoli Fern, Oregon State University, USA
Jing Gao, State University of New York, Buffalo, USA
Sponsorship Chairs
Hui Xiong, Rutgers University, USA
Matthew Otey, Google, USA
Local Chair
Slobodan Vucetic, Temple University, USA
Description
Data mining is an important tool in science, engineering, industrial processes, healthcare, business, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high performance and principled analysis techniques and algorithms, based on sound theoretical and statistical foundations. These techniques in turn require implementations that are carefully tuned for performance; powerful visualization technologies; interface systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.
This 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 are 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 and the U.S. Department of Energy (DOE), Office of Science, for their support of this conference.
Themes
Methods and Algorithms
• Classification
• Clustering
• Frequent Pattern Mining
• Graphical Models
• Spatial & Temporal Mining
• Data Stream Mining
• Abnormality & 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 Network Analysis
• 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
| September 27, 2013 11:59 PM PST: | Workshop/Tutorial Proposals |
| October 6, 2013 11:59 PM PST: | Abstract Submission |
| October 13, 2013 11:59 PM PST: | Paper Submission |
| December 16, 2013: | Author Notification |
| January 23, 2014: | Camera Ready Papers Due |
TRAVEL FUND APPLICATION DEADLINE
January 22, 2014: SIAM Student Travel Award and Post-doc/Early Career Travel Award Applications
PRE-REGISTRATION DEADLINE
March 27, 2014 : Disconnect time is 4:00 PM EDT
HOTEL RESERVATION DEADLINE
March 27, 2014
