Collocation with KDD-2003

For the first time, ICML and KDD will be collocated. This means that they will be held physically close together (less than one mile) and adjacent in time (ICML is Aug 21-24, KDD is 24-27). Organizers of both conferences have cooperated to arrange joint events, reduced registration fees and other advantages for attendees of both conferences:

• Reduced KDD registration for ICML attendees.
• Joint sessions on Sunday afternoon (at KDD location) featuring:
  • joint invited speaker (Daphne Koller)
  • selected papers from each conference, chosen to appeal to the other as well.
  All participants of ICML are invited to these joint sessions; you do not need to be registered for KDD.
• A special KDD tutorial of interest to machine learning researchers, Data Mining for Machine Learners, presented by Johannes Gehrke and Jiawei Han (August 27)
• KDD Tutorials (August 27)
  • 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
  • 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
• KDD workshops (August 27)
  • 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