IEEE ICDM 2004 Workshop on
Alternative Techniques
for Data Mining and Knowledge Discovery

November 1st, 2004, Brighton, UK

Program Organization Call for Papers Author Gateway

Motivation and scope

Data Mining algorithms present some drawbacks due to the nature of the problem they try to solve. They are very time and CPU consuming, they tend to obtain an excessive number of outputs which are unmanageable for human experts, and they must be able to deal with imprecise, uncertain and noisy data.

So it is necessary to develop techniques which might allow us to obtain good results (even though not the very best ones) in a reasonable amount of time, techniques capable to properly summarize the results obtained during the knowledge discovery process, and techniques able to manage imperfect data.

Advanced representation schemes and "Soft Computing" techniques have proved valuable when they are applied to Data Mining problems. Therefore, we encourage authors to present original papers dealing with the incorporation of these techniques into data mining algorithms and processes.

Topics

Topics of interest include, but are not limited to:

  • Fuzzy techniques in Data Mining
  • Rough sets in Data Mining
  • Genetic algorithms in Data Mining
  • Methods for dealing with imperfect information
  • Uncertainty management
  • Advanced techniques for knowledge representation
  • Ontologies for Data Mining

Latest News

The workshop final program is now available, including the electronic versions of all the accepted papers.


Workshop registration fees
  By 09/26 After 09/26
IEEE [CS] members US$130 US$180
Non-members US$180 US$225
Students US$90 US$110
A discount of $50 will be provided for people who also register for the main ICDM conference.

 
 

Important dates

Paper submission
September 8th, 2004
Notification of acceptance
September 24th, 2004
Camera-ready manuscripts
October 12th, 2004
Workshop
November 1st, 2004
E-mail

Additional information

Sponsored by

In cooperation with

IEEE Computer Society
held in conjunction with the Fourth IEEE
International Conference on Data Mining

Department of Computer Science and Artificial Intelligence - University of Granada - Spain