{Spam?(6)} SDM'09: THE NINTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING

> ============================================================
>
> SDM'09: THE NINTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
>
> John Ascuaga's Nugget, Sparks (Reno-Sparks-Tahoe area), Nevada, USA
> April 30 - May 2, 2009
>
> URL: http://www.siam.org/meetings/sdm09
>
> =============================================================
>
> Important Dates:
>
> Abstract Due: October 3, 2008
> Manuscript Due: October 10, 2008
> Author Notification: December 15, 2008
> Camera Ready: January 26, 2009
>
> ===============================================================
>
> 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 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.
>
> 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==========================
>
> Methods and Algorithms:
> Classification
> Clustering
> Frequent Pattern Mining
> Probabilistic and Statistical Methods
> Spatial and Temporal Mining
> Data Stream Mining
> Abnormality and Outlier Detection
> Feature Selection / Feature Extraction
> Dimension Reduction
> Data Reduction
> Mining with Constraints
> Data Cleaning and Noise Reduction
> Computational Learning Theory
> Multi-Task Learning
> Adaptive Algorithms
> Scalable and High-Performance Mining
> Mining Graphs
> Mining Semistructured Data
> Mining Complex Datasets
> Mining on Emerging Architectures
> Text and Web Mining
> Other Novel Methods
>
> 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
> Bio-surveillance Sensor Network Applications
> Social Network Analysis
> Intelligence Analysis
> Other Novel Applications and Case Studies
>
> Human Factors and Social Issues:
> Ethics of Data Mining
> Intellectual Ownership
> Privacy Models
> Privacy Preserving Data Mining and Data Publishing
> Risk Analysis
> User Interfaces
> Interestingness and Relevance
> Data and Result Visualization
>
> =====================Organizing Committee =====================
>
> STEERING COMMITTEE CHAIR
> Chandrika Kamath, Lawrence Livermore National Laboratory
>
> GENERAL CHAIRS
> Haesun Park, Georgia Institute of Technology
> Srinivasan Parthasarathy, The Ohio State University
>
> PROGRAM CHAIRS
> Huan Liu, Arizona State University
> Zoran Obradovic, Temple University
>
> WORKSHOP CHAIRS
> Ian Davidson, University of California, Davis
> Carlotta Domeniconi, George Mason University
>
> TUTORIAL CHAIR
> Bart Goethals, University of Antwerp
>
> PUBLICITY CHAIRS
> Aristides Gionis, Yahoo! Research, Barcelona
> Lim Ee Peng, Nanyang Technological University, Singapore
> Wei Wang, University of North Carolina
>
> SPONSORSHIP CHAIRS
> Wei Fan, IBM T. J. Watson Research Center
> Vasant Honavar, Iowa State University
>
> PUBLICATIONS CHAIR
> Pang-Ning Tan, Michigan State University
>
> --
> Wei Wang, Associate Professor
> Department of Computer Science
> University of North Carolina
> Chapel Hill, NC 27599-3175
> Tel: (919) 962-1744
> URL: http://www.cs.unc.edu/~weiwang
> Email: weiwang@cs.unc.edu
>
Received on Fri Jun 13 07:51:31 2008