[Apologies if you receive this more than once]
 
 IEEE Data Mining 2004: Call for Participation
 =============================================
 
 <http://icdm04.cs.uni-dortmund.de/>
 
 The 2004 IEEE International Conference on Data Mining (ICDM)
 to be held at the Old Ship Hotel, Kings Road, Brighton, England BN1 1NR
 November 1st - 4th, 2004, invites you to attend.
 
  * On-line registration (and other information) is available at
    http://icdm04.cs.uni-dortmund.de/
 
    Register by September 26 to get the early-bird rate!
 
  * Be sure to book hotel rooms by October 29 for discounted rates
    http://www.bramer.plus.com/icdm04/hotel.htm
 
 ICDM received a total of 451 paper submissions this year, from which
 39 regular papers and 66 short papers were selected for presentation.
 These papers are listed in the conference program at the above
 conference website.
 
 Conference highlights include the following.
 
 * Four Invited Speakers:
 
    - Wray Buntine, Helsinki Institute of Information Technology, Finland.
      "Open-source Search Engines: A Data Mining Platform"
    - David Hand, Imperial College, London.
      "Deception, distortion, and discovery: data quality in data mining"
    - Thorsten Joachims, Cornell University, USA.
      "Learning to Predict Complex Objects"
    - Ming Li, University of Waterloo, Canada.
      "Faster and More Sensitive Homology Search" 
 
 * Four Tutorials:
 
    November 1, Morning
 
    - John F. Elder, "10 Data Mining Mistakes -- and How to Avoid Them"
    - Eamonn Keogh, "Data Mining In Time Series Databases"
 
    November 1, Afternoon
 
    - Sudipto Guha,"Algorithmic Excursions in Data Streams"
    - Arun swaran Jagatheesan,"Data Grid Management Systems (DGMS)"
 
 * Nine  Workshops (November 1):
 
    - Alternative Techniques for Data Mining and Knowledge Discovery
    - Data Mining and the Grid
    - Data Mining in Bioinformatics 
    - Foundations of Data Mining
    - Foundations of Urban Security
    - Frequent Itemsets Mining Implementations
    - Life Sciences Data Mining
    - Privacy and Security Aspects of Data Mining
    - Temporal Data Mining: algorithms, theory and applications
 
 * One Panel:
 
    "Data Mining -- Where to go?"
    Panel Chair: Fosca Giannotti, Institute of Information Science and
                 Technologies (ISTI, Italy).
 
 * 105 Technical Paper Presentations (November 2 - 4, 2004): 
 
   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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