Special Track on Data Mining


NEW Accept/reject notifications are sent to the authors. List of accepted papers (11 Mar 2006)

NEW The online submission system is now closed. Thank you for your contributions! (10 Feb 2006)



Advances in automatic data collection motivate the development of tools that are able to handle and analyze data and make use of it in a computer-supported fashion.

Data mining has become a popular and effective way of discovering new knowledge from large and complex data sets, and particularly, medical data sets. Advances in data mining research and technology have made it possible to solve many interesting problems in medical diagnostics and health care.

As part of the symposium, the Data Mining track invites original and high quality submissions addressing all aspects of data mining with application to the medical context.

The topics of special interest include, but are not restricted to, the following: 

  • Effective machine learning and data mining tools in medical applications
  • Case-based reasoning approaches
  • Classification
  • Clustering
  • Feature selection, and feature transformation
  • Data streams
  • Mining medical data with time- and context-changing patterns and data distributions
  • Data visualization
  • Evaluation and interpretation of data mining results
  • Knowledge-driven data mining approaches

 We encourage also submitting the papers that describe case studies based on large medical databases.

Unlike workshops, where position papers and reports on initial and intended work are appropriate, papers selected for a special track should report on significant unpublished work suitable for publication as a conference paper.

More information about the symposium, registration fees, venue can be found here:




January 31, 2006 February 9, 11:59 pm Mountain Time

Submission of  paper (IEEE 2-column, 6-pages maximum)

March 1, 2006 March 9, 2006

Notification of acceptance

April 5, 2006

Final camera-ready paper due

April 8, 2006

Pre-registration deadline

June 22-23, 2006



You must pre-register to have your paper published in the proceedings. If you only plan to attend and are not submitting a paper, pre-registration is still strongly encouraged. This conference is space-limited, and registration may not be available on-site.



No hardcopy submissions are being accepted. Electronic submissions of original technical research papers will only be accepted in PDF format. File size is limited to 2 MB. Use a maximum of six A4 pages, including figures and references. Include one cover sheet, stating the track title (Special Track on Data Mining), paper title, authors, technical area(s) covered in the article, corresponding author's information (telephone, fax, mailing address, e-mail address), and your preference for oral or poster presentation. Author names should appear only on the cover sheet, not on the paper. Submit your manuscript no later than January 31, 2006. Authors will be notified of acceptance by March 1, 2006 after a review process by three independent experts.  Each accepted paper to the Special Track on Data Mining will be published in the conference proceedings by IEEE CS Press, conditional upon the author's advance registration. Papers that were not accepted by the Program Committee of the track can be considered for publication as regular submissions by the General Program Committee of IEEE CBMS 2006. Please note that the format of IEEE CBMS 2006 proceedings will be the IEEE Computer Science Press 8.5x11-inch format. Submission is encouraged in this format. For more details please see the website of IEEE CBMS 2006: (http://cbms2006.ece.byu.edu/how.html#submission).



All submissions will be done electronically via the CBMS web submission system.




Mykola Pechenizkiy                             

Seppo Puuronen

Alexey Tsymbal                               

University of Jyväskylä, Finland

University of Jyväskylä, Finland

Trinity College Dublin, Ireland



Werner Dubitzky

University of Ulster, UK

Peter Kokol

University of Maribor, Slovenia

Kerstin Maximini

University of Trier, Germany

Mikolaj Morzy

Poznan University of Technology, Poland

Vili Podgorelec

University of Maribor, Slovenia

Andrei L Turinsky

University of Calgary, Canada

Marek Wojciechowski

Poznan University of Technology, Poland

Stephen Wong

Harvard Medical School, USA

Anton Zamolotskikh

Trinity College Dublin, Ireland



 For further questions, please contact