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What this tutorial is about ?
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. Following issues are covered:
References:
Duch W, Setiono R, Zurada J, forthcoming
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
Link to the PowerPoint presentation of the tutorial.
CV of the main presenter:
Wlodzislaw Duch is an editor of a number of professional journals, including IEEE Transactions on Neural Networks, Computer Physics Communications, heads the scientific committee of the Polish "Cognitive Science" journal, is a member of the European Neural Network Society (ENNS) executive committee, Board of Governors of the International Neural Network Society (INNS), and Technical Committee of the IEEE Neural Network Society (NNS). He is a professor of applied computational sciences and theoretical physics, since 1990 heading the Department of Informatics (formerly called a Department of Computer Methods) at Nicolaus Copernicus University, Torun, Poland. He runs a software company DuchSoft, and was an executive board president of the e-business Kopernik.pl company. He holds the title of a "professor of theoretical physics and applied computational sciences" (1997), has habilitation degree in many body physics (D.Sc. 1987), and Ph.D. in quantum chemistry (1980). In the last 10 years his scientific interest moved from computational methods of physics, chemistry, quantum computing, to artificial intelligence, neural networks, medical applications of computational intelligence and various aspects of cognitive science.
His current interests are in computational intelligence (CI) methods, especially methods that elucidate the structure of the data, visualization methods, medical and psychological diagnosis support, methods that are applicable to complex objects, bioinformatics, and modeling the brain functions at different levels. His ambitions are to create general CI theory based on similarity evaluation, create meta-learning schemes that automatically discover the best model for a given data, popularize a new form of logical rules based on similarity to prototypes, develop geometrical theories for modeling of mental events and relating such models to neurodynamics.
In 2003 W. Duch works at the Nanyang Technological University for his sabbatical year. He has held a number of academic positions at universities and scientific institutions all over the world. These include University of Southern California in Los Angeles and the University of Florida in Gainesville, USA, University of Alberta in Edmonton, Canada, Meiji University, Kyushu Institute of Technology and Rikkyo University in Japan, Louis Pasteur Universite in Strasbourg, France, Max-Planck-Institut für Astrophysik in Germany (every year between 1984-2001), King's College London in UK, to name only a few.
He worked as an expert for the European Union 5th and 6th Framework science programs, Polish Committee of Scientific Research and the Ministry of Education. 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.