Advances in Data Mining
2
Algoritmit ja koneoppiminen
Syventävät opinnot
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").
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)