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Tomáš Kliegr, Ph.D. is a lecturer in the Faculty of Informatics and Statistics of the University of Economics Prague, where he works in the Data Mining and Knowledge Discovery group.

Teaching (Winter 2018/19)

• Information and knowledge processing
• Data Science in Python and R
• Knowledge discovery from databases (in English)

Research interests

• rule learning
• cognitively inspired machine learning
• preference learning, utility theory
• natural language processing

Profile at the University of Economics, Prague

• Office hours
• Full Publication list

ResearchGate profile with full texts of papers for download.