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This tutorial presents computational intelligence approach to data mining, stressing the need for understanding of the data structure. At each step computer programs will be used in real-time on real-world examples to illustrate various procedures involved.
References:
Duch W, Adamczak R, Grabczewski K,
Methodology of extraction, optimization and application of crisp and fuzzy logical rules.
IEEE Transactions on Neural Networks, 12 (2001) 277-306
CV of the main presenter:
Wlodzislaw Duch is a professor of theoretical physics and applied computational sciences, since 1990 heading the Department of Informatics
(formerly called a Department of Computer Methods) at
Nicolaus Copernicus University, Torun, Poland. His degrees include habilitation (D.Sc. 1987) in many body physics, Ph.D. in quantum chemistry (1980), and Master of Science diploma in physics (1977) at the Nicolaus Copernicus University, Poland.
He has held a number of academic positions at universities and scientific institutions all over the world. These include longer appointments at the University of Southern California in Los Angeles, and the Max-Planck-Institute of Astrophysics in Germany (every year since 1984), and shorter (up to 3 month) visits to the University of Florida in Gainesville; University of Alberta in Edmonton, Canada; Meiji University, Kyushu Institute of Technology and Rikkyo University in Japan; Louis Pasteur Universite in Strasbourg, France; King's College London in UK, to name only a few.
He has been an editor of a number of professional journals, including IEEE Transactions on Neural Networks, Computer Physics Communications, Int. Journal of Transpersonal Studies and a head scientific editor of the "Kognitywistyka" (Cognitive Science) journal. He has worked as an expert for the European Union science programs and for other international bodies. He has published 4 books and over 250 scientific and popular articles in many journals. He has been awarded a number of grants by Polish state agencies, foreign committees as well as European Union institutions.