Panče Panov is a postdoctoral researcher at the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia. He completed his PhD in 2012 in the area of data mining at the Jožef Stefan International Postgraduate School, Ljubljana, Slovenia. His thesis concerned the design and implementation of a modular ontology for the domain of data mining. His research interests are related to machine learning, data mining, the knowledge discovery process, and applying ontology in these domains. His contributions include developments of ontologies for
describing the domain of data mining and the process of knowledge discovery, which can be employed in various applications. He was actively involved in several EU-funded projects in the past (IQ, SUMO) and is currently involved in the MAESTRA project. In addition, he participated in several projects financed by the Slovenian research agency and one bilateral project between Slovenia and Croatia. He is co-editor of the book entitled “Inductive databases and constraint-based data mining” published in 2010 by Springer. In 2014, he was program co-chair of the International Conference on Discovery Science (2014) and co-editor of the proceedings of the conference published by Springer. Finally, in 2015 he a co-editor of a special issue of the Journal Machine Learning on Discovery Science.
describing the domain of data mining and the process of knowledge discovery, which can be employed in various applications. He was actively involved in several EU-funded projects in the past (IQ, SUMO) and is currently involved in the MAESTRA project. In addition, he participated in several projects financed by the Slovenian research agency and one bilateral project between Slovenia and Croatia. He is co-editor of the book entitled “Inductive databases and constraint-based data mining” published in 2010 by Springer. In 2014, he was program co-chair of the International Conference on Discovery Science (2014) and co-editor of the proceedings of the conference published by Springer. Finally, in 2015 he a co-editor of a special issue of the Journal Machine Learning on Discovery Science.
