CFP: ICDM 2003 (IEEE Conf. on Data Mining)

IEEE Data Mining 2003: Call for Participation
=============================================

The 2003 IEEE International Conference on Data Mining (ICDM)
to be held at the Holiday Inn Oceanfront, Melbourne, Florida, USA
November 19 - 22, 2003, invites you to attend.

 * On-line registration (and other information) is available at
   http://www.cs.uvm.edu/~xwu/icdm-03.html
   Register by October 17 to get the early-bird rate!

 * Registration includes a half-day tour of the NASA Kennedy Space Center!

 * Be sure to book hotel rooms by October 31 at 5pm for discounted rates
   (http://www.cs.uvm.edu/~xwu/icdm/hotel-03.shtml)

ICDM received a total of 501 paper submissions this year, from which
58 regular papers, 61 short papers, and 9 industry-track papers were
selected for presentation.

Conference highlights include the following.

* Five Invited Speakers:

   - Thomas G. Dietterich, Oregon State University, USA.
     "Sequential Supervised Learning: 
      General Methods for Sequence Labeling and Segmentation"
   - Usama M. Fayyad, DMX Group, LLC, USA.
     "Grand Challenges on the Road to Practical Data Mining Systems"
   - Heikki Mannila, University of Helsinki, Finland.
     "Global Structure from Sequences"
   - Gene W. Myers, University of California, Berkeley, USA.
     "Pattern Discovery for Genomics" 
   - Philip S. Yu, IBM T.J. Watson Research Center, USA.
     "Real-Time Monitoring and Surveillance using Data Stream Mining"

* Four Tutorials:

   November 19, Morning

   - Chris Ding, "Bioinformatics and Machine Learning Methods"
   - Ronen Feldman, "Information Extraction: Theory and Practice"

   November 19, Afternoon

   - Alexander Hinneburg and Daniel Keim, 
     "Advances in Clustering and Applications"
   - Aleksandar Lazarevic, Jaideep Srivastava, and Vipin Kumar, 
     "Data Mining for Security Applications"

* Six Full-Day Workshops (November 19):

   - Clustering Large Data Sets 
   - Data Mining for Computer Security (DMSEC '03) 
   - Foundations and New Directions in Data Mining 
   - Frequent Itemset Mining Implementations (FIMI '03) 
   - Privacy Preserving Data Mining (PPDM) 
   - [EMAIL PROTECTED]: The 3rd International Workshop on Visual Data Mining 

* One Panel:

   "Security and Data Mining: Funding Priorities and Opportunities"
   Panel Chair: Michael J. Pazzani, National Science Foundation, USA.

* 128 Technical Paper Presentations (November 20 - 22, 2003): 

  There are sessions on Association Analysis, Bayesian Networks,
  Clustering, Databases and Datamining, Feature Selection, 
  Mining Sequential and Hierarchical Data, Mining User Behavior,
  Spatial and Temporal Tasks, Support Vector Machines,
  Nearest-Neighbor Methods, Privacy-Preserving Datamining,
  Linkage-based Methods, Rule-Based Methods, Text Mining,
  Visualization, Image Processing, Issues in Supervised Learning, and
  Applications.

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