Features

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

http://www.acm.org/sigkdd/kdd2003/

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.

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.

Workshops:

• 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 program and the Accepted papers can be found at http://www.acm.org/sigkdd/kdd2003/

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