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

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Teaching (Winter 2019/2020)

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

Research interests

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

Professional societies

Active member of the DBpedia association. Member of the Czech society for cybernetics and Informatics (Artificial Intelligence working group).