-------- Original-Nachricht -------- Betreff: [computational.science] SDM'07 Abstract Deadline (10/06/2006) Datum: Tue, 3 Oct 2006 10:15:38 -0400 Von: Hui Xiong xionghui@gmail.com Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com

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======================================================================== Call for Papers

SDM'07: 2007 SIAM International Conference on Data Mining

Sponsored by Society for Industrial and Applied Mathematics (SIAM)

Minneapolis, Minnesota, USA April 26-28, 2007.

http://www.siam.org/meetings/sdm07/

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Important Dates:

Abstracts: October 6th 2006 Papers: October 13 2006 11:59:59 PM, Pacific Standard Time Author Notification: December 20th 2006 Camera Ready: January 26th 2007

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Data mining and knowledge discovery is rapidly becoming an important tool in all walks of human endeavor including science, engineering, industrial processes, healthcare, business, medicine and society. 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 statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them. For the main conference the program committee seeks outstanding papers in all areas pertaining to data mining and knowledge discovery.

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 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.

==================== Topics of Interest ====================

Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas:

---------------------- Methods and Algorithms ---------------------- Classification Clustering Frequent Pattern Mining Probabilistic and Statistical Methods Spatial and Temporal Mining Data Streams Abnormality and Outlier Detection Feature Selection Mining with Constraints Data Cleaning and Noise Reduction Computational Learning Theory Scalable and High-Performance Mining Mining Graphs Mining Semistructured Data Mining Complex Datasets Mining on Emerging Architectures Text Mining Web Mining

------------- Applications ------------- Astronomy & Astrophysics High Energy Physics Collaborative Filtering Earth Science Risk Management Supply Chain Management Customer Relationship Management Finance Genomics and Bioinformatics Drug Discovery Healthcare Management Automation & Process Control Logistics Management Intrusion and Fraud detection Intelligence Analysis Sensor Network Applications Social Network Analysis Application Case Studies Other Novel Applications

------------------------------- Human Factors and Social Issues ------------------------------- Ethics of Data Mining Intellectual Ownership Privacy Models Privacy Preservation Techniques Risk Analysis User Interfaces Interestingness and Relevance Data and Result Visualization

All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page at http://www.siam.org/meetings/sdm07/

===================== Organizing Committee =====================

STEERING COMMITTEE CHAIR Vipin Kumar, University of Minnesota

CONFERENCE CO-CHAIRS Chid Apte, IBM Research David Skillicorn, Queen's University

PROGRAM CO-CHAIRS Srinivasan Parthasarathy, Ohio State University Bing Liu, University of Illinois at Chicago

TUTORIAL CHAIR Pang-Ning Tan, Michigan State University

WORKSHOP CO-CHAIRS Michael Berry, University of Tennessee Philip Chan, Florida Institute of Technology

PUBLICATIONS CHAIR Huan Liu, Arizona State University

PUBLICITY CO-CHAIRS Hui Xiong, Rutgers University Sanjay Chawla, University of Sydney Aristides Gionis, University of Helsinki

POSTER CHAIR Daniel Boley, University of Minnesota

SPONSORSHIP CHAIR Jaideep Srivastava, University of Minnesota