Organization Details
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Rudjer Boskovic Institute
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Rudjer Boskovic Institute
Laboratory of Information Systems
Research area: Data Mining
Rudjer Boskovic is a large national Institute of Croatia. Its Laboratory for Information Systems works on problems of intelligent data analysis, inductive learning, simulation, modelling and their applications. The Laboratory has five full time researchers. Members of the laboratory have developed ILLM (Inductive Learning by Logic Minimization) system which has been used as the base for the free on-line Data Mining Server available at the http://dms.irb.hr.
BibliographyD.Gamberger and N.Lavrac: Descriptive induction through subgroup discovery: A case study in a medical domain. to be printed in the Proceedings of the ICML 2002 Conference.
T.Smuc, D.Gamberger, and G.Krstacic: Combining unsupervised and supervised machine learning in analysis of the CHD patient database. In Proc. of 8th Conference on Artificial Intelligence in Medicine in Europe, 2001.
D.Gamberger and N.Lavrac: Filtering noisy instances and outliers. In H.Liu and H.Motoda, editors: Instance Selection and Construction for Data Mining, Kluwer Academic Publishers, 2000.
N.Lavrac, D.Gamberger, and P.Turney: A relevancy filter for constructive induction. IEEE Intelligent Systems and Their Applications, 13:50-56, 1998.
Area of activityRudjer Boskovic Institute has interest in all segments of KDNet activities, including organization of workshops and projects as well as literature and software dissemination. We have significant experience in development of interactive web pages what might be useful for the Network.
ProjectsIndirectly we are engaged in the SolEuNet project. We have strong interest to be more actively included into the EU 6th Framework projects.
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