Relational and Semantic Data Mining for Biomedical Research
Nada Lavrač, Petra Kralj Novak · 2013
The paper presents a historical overview of data mining tools and applications in the field of biomedical research, developed at the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia. It first outlines subgroup discovery and selected relational data mining approaches, with the emphasis on propositionalization and relational subgroup discovery, which prove to be effective for data analysis in biomedical applications. The core of this paper describes recently developed approaches to semantic data mining which enable the use of domain ontologies as background knowledge in data analysis. The use of the described tools is illustrated on selected biomedical applications. Povzetek: Prispevek opisuje zgodovinski pregled razvoja orodij rudarjenja podatkov na področju biomedicine.