Intelligent Subgroup Discovery

Joint bilateral Slovenian-Croatian research project

2006-2008

The project is continuation of the previous bilateral "Intelligent Data Analysis" project. The objective is cooperation in the field of data mining, rule learning, and knowledge discovery, specially related to the techniques known as subgroup discovery. The goals are development of the methodology and its applications. Special attention is given to data domains collected in the two countries for which analysis there is scientific or commercial interest. The project should help to establish long term connections among researchers, especially young people, enable preparation of joint international projects and stimulate industrial applications of intelligent data analysis.

Project partners

• Jozef Stefan Institute, Ljubljana, Department for Knowledge Technologies.
• Rudjer Boskovic Institute, Zagreb, Department of Electronics.

Researchers

• dr. Nada Lavrac, Jozef Stefan Institute, project leader
• dr. Saso Dzeroski, Jozef Stefan Institute
• dr. Dunja Mladenic, Jozef Stefan Institute
• dr. Igor Mozetic, Jozef Stefan Institute
• dr. Dragan Gamberger, Rudjer Boskovic Institute, project leader
• dr. Tomislav Smuc, Rudjer Boskovic Institute
• Mislav Malenica, Rudjer Boskovic Institute
• Fran Supek, Rudjer Boskovic Institute

Present activities

• Insightful data analysis of hospital records for patients with brain ischemia.
• Theory and practice of supporting factors and their application in subgroup discovery
• Medical applications of subgroup discovery for contrast set mining and descriptive induction.

Published papers

• Lavrac, N. and Gamberger, D. (2006)
  Subgroup discovery: An experiment in functional genomics.
  Informatica Medica Slovenica, 11:46-51.
• Gamberger, D., Lavrac, N., Krstacic, A. and Krstacic, G. (2007)
  Clinical data analysis based on iterative subgroup discovery: Experiments in brain ischaemia data analysis.
  Applied Intelligence, 27:205-217.
• Kralj, P., Lavrac, N., Gamberger, D. and Krstacic, A. (2007)
  Contrast Set Mining for Distinguishing between Similar Diseases.
  In Proc. of 11th Conference on Artificial Intelligence in Medicine (AIME 2007), pp.109-118.
• Gamberger, D. and Lavrac, N. (2007)
  Supporting factors in descriptive analysis of brain ischaemia.
  In Proc. of 11th Conference on Artificial Intelligence in Medicine (AIME 2007), pp.155-159.
• Gamberger, D., Lavrac, N., Krstacic, A. and Krstacic, G. (2007)
  Clinical data analysis based on iterative subgroup discovery: Experiments in brain ischaemia data analysis.
  Applied Intelligence, 27:205-217.
• Lambach, D., Gamberger, D. (2008)
  Temporal analysis of political instability through descriptive subgroup discovery.
  Conflict Management and Peace Science, 25:19-32.
• Gamberger, D., Lavrac, N., Fuernkranz, J. (2008)
  Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach
  In Proc. of 10th Pacific Rim International Conference on Artificiel Intelligence, PRICAI 2008, pp.636-645.
• Kralj, P., Lavrac, N., Gamberger, D., Krstacic, A. (2009)
  CSM-SD: Methodology for contrast set mining through subgroup discovery.
  To be printed in Journal of Biomedical Informatics.

Organized meetings

• Fourth international Ljubljana-Zagreb workshop on Knowledge Technologies, Strunjan 2006.
• Fifth international Ljubljana-Zagreb workshop on Knowledge Technologies, Bohinj 2008.
• Sixth international Ljubljana-Zagreb workshop on Knowledge Technologies, Bohinj 2009.