[Computational-biology] SDM 2008 Final Call for Participation

[Pang-Ning Tan]

[Apologies if you receive multiple copies of this message]

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CALL FOR PARTICIPATION

SDM'08: 2008 SIAM International Conference on Data Mining
Sponsored by Society for Industrial and Applied Mathematics (SIAM)

Atlanta, Georgia, USA
April 24-26, 2008.

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

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[Pre-registration deadline: Monday, March 24, 2008]

On-line registration and conference program schedule is now available at
http://www.siam.org/meetings/sdm08/

HIGHLIGHTS
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* 4 plenary talks
* 3 full day and 1 half day workshops
* 4 tutorials
* 40 full and 37 short papers

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PLENARY SPEAKERS
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* Geometry and Analysis on Digital Data, Emergent Structures and
  Knowledge Building
  Ronald Coifman, Yale University

* Algorithms for understanding the Sky
  Andrew W. Moore, Google Inc.

* Mining Multilingual Documents
  Dianne P. O'Leary, University of Maryland at College Park

* Data Mining and Materials Informatics
  Krishna Rajan, Iowa State University

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Tutorials
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Note that tutorials are complementary with conference registration.

* Mining Massive Collections of Shapes and Time Series:
  With Case Studies in Anthropology and Astronomy
  Eamonn Keogh, University of California - Riverside

* Anomaly Detection
  Arindam Banerjee, University of Minnesota, Twin Cities
  Varun Chandola, University of Minnesota, Twin Cities
  Vipin Kumar, University of Minnesota, Twin Cities
  Jaideep Srivastava, University of Minnesota, Twin Cities
  Aleksandar Lazarevic, United Technologies

* Data Mining based Social Network Analysis from Online Behavior
  Jaideep Srivastava, University of Minnesota, Twin Cities
  Muhammad A Ahmad, University of Minnesota, Twin Cities
  Nishith Pathak, University of Minnesota, Twin Cities
  David Kuo-Wei Hsu, University of Minnesota, Twin Cities

* Fast N-body Algorithms for Massive Datasets
  Alex Gray, Georgia Tech

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Workshops
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* Data Mining for Biomedical Informatics (Full Day)

* Link Analysis, Counterterrorism, and Security (Full Day)

* Text Mining 2008 (Full Day)

* Practical Privacy-Preserving Data Mining (Half Day)