Advances in Data Mining

Algorithms and machine learning
Advanced studies
Passing the course requires attendance on lectures, and a written home work by the end of May. Basic knowledge in data mining methods is assumed (e.g. course "Tiedon louhinnan menetelmät").
Year Semester Date Period Language In charge
2006 spring English

Prof. Bruno Crémilleux (Univ. of Caen), Prof. Jiri Klema (Czech Technical University, Prague); 16.-19.5. a lecture series of 6 hours (preliminary data); (requires attendance on lectures, and an essay based on lectures and readings)