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KDD 2003 Last Call for Participation

Osmar Zaiane zaiane at cs.ualberta.ca
Mon Aug 18 09:00:44 EST 2003

Apologies for multiple postings.

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The Ninth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining
August 24-27, 2003
Washington DC, USA


The 9th  International Conference on Knowledge Discovery and Data Mining
welcomes participants during the four days between 24th and 27th of August
2003. The Conference will take place in Washington DC, collocated with ICML.

         Advance Registration Deadline: August 13, 2003

Registration on-line at http://www.acm.org/sigkdd/kdd2003/

In addition to the research track with 34 papers and 36 posters, the
conference also hosts an industrial/government track with 13 papers and
10 posters. The program with the list of papers and authors is posted
on-line at the conference web site.

This year the SIGKDD conference will have 9 workshops and 7 tutorials open to all conference registrants.

 - Workshop on Operational Text Classification
 - Workshop on Link Analysis
 - Workshop on Data Mining in Bioinformatics (BIOKDD03)
 - Workshop on Multi-relational Data Mining (MRDM 2003)
 - WebKDD2003: WebMining as a Premise to Intelligent and Effective Web Applications
 - KDD03 Workshop on Data Cleaning, Record Linkage and Object Consolidation
 - Fractals and Self Similarity in Data Mining: Issues and Approaches
 - MDM/KDD 2003: Integrated Media Mining
 - Data Mining Standards, Services and Platforms 

 - Information Extraction from the World Wide Web
   William Cohen and Andrew McCallum
 - Multi-Relational Data Mining
   Saso Dzeroski and Luc De Raedt
 - Data Mining for Computer Security
   Carla Brodley and Philip Chan
 - Data Mining for Machine Learners
   Johannes Gehrke and Jiawei Han
 - Privacy-Preserving Data Mining
   Chris Clifton
 - Sequence Data Mining Techniques and Applications
   Sunita Sarawagi and Mark Craven
 - The Top 10 Data Mining Mistakes -- and How to Avoid Them
   John F. Elder 

3 invited talks are in the program:

 - On-Line Science: The World-Wide Telescope as a Prototype for the
   New Computational Science 
   Jim Gray (Microsoft Research)

 - Statistical Learning from Relational Data
   Daphne Koller (Stanford University)

 - Analyzing Customer Behavior at Amazon.com
   Andreas S. Weigend (Chief Scientist, Amazon.com)

The conference will also have collocated sessions with ICML, research
panels and exhibits. 

The program and the Accepted papers can be found at 

Please book your hotel room and register for ACM SIGKDD at your
earliest convenience.

The advanced registration deadline is August 13.


Osmar R. Zaiane (SIGKDD 2003 Publicity Chair)
        (o o)              
Osmar R. ZAIANE, Ph.D.              | office: ATH 352 (Athabasca Hall)
Assistant Professor (Prof. Adjoint) | e-mail:  zaiane at cs.ualberta.ca
Department of Computing Science     | phone : 1-780 492 2860 
University of Alberta               | fax   : 1-780 492 1071 
Edmonton, Alberta, T6G 2E8 Canada   | http://www.cs.ualberta.ca/~zaiane/ 
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