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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).