Knowledge Discovery Group

Contact: doc. RNDr. Lubomír Popelínský, Ph.D.
WWW pages: http://www.fi.muni.cz/kd/
The Knowledge Discovery Group focuses on the development of pre-processing methods for data mining (including active learning, and frequent patterns as new features), natural language learning (including morphological and syntactic disambiguation, text categorization, information extraction), mining in spatio-temporal data, difficult patterns classification (e.g. in biomedical data) and integration data mining tools with database systems. Members of this group provide most of the courses on artificial intelligence at the faculty, namely machine learning, natural language learning, knowledge discovery in databases, artificial neural networks, fuzzy sets and fuzzy logic, and computational logic.