Intelligent Data Analysis

Joint bilateral Slovenian-Croatian research project

2004-2005

The objective of the project is cooperation in the field of intelligent data analysis, both in developing 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. Dragan Gamberger, Rudjer Boskovic Institute, project leader
• dr. Tomislav Smuc, Rudjer Boskovic Institute

Organized meetings

• Workshop on Knowledge Technologies, Cerkno 2004.
• Workshop on Knowledge Technologies, Opatija 2004.
• Workshop on Knowledge Technologies, Porec 2005.

Published papers

• N.Lavrac, B.Cestnik, D.Gamberger, P.Flach (2004)
  Decision support through subgroup discovery: Three case studies and the lessons learned.
  Machine Learning} 57(1-2): 115-143.
• D.Gamberger, N.Lavrac (2004)
  Avoiding data overfitting in scientific discovery: Experiments in functional genomics.
  In Proc. of European Conference on Artificial Intelligence (ECAI 2004), pp.470-474.
• D.Gamberger, N.Lavrac, F.Zelezny, J.Tolar (2004)
  Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
  Journal of Biomedical Informatics 37/4:269-284.
• D.Gamberger, A.Krstacic, G.Krstacic, N.Lavrac, M.Sebag (2005)
  Data analysis based on subgroup discovery: Experiments in brain ischemia domain.
  Proc. of IDAMAP 2005 Workshop at 10th European Conference on Artificial Intelligence in Medicine (AIME-05) pp.52-56.

Activities

• Insightful data analysis of hospital records for patients with brain ischemia.
• Knowledge extraction from the gene expression domain about pediatric acute lymmphoblastic leukemia.