Relational and semantic data mining for biomedical research

Nada Lavrač, Petra Kralj Novak

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Pages (from-to)35-39
Number of pages5
JournalInformatica (Slovenia)
Volume37
Issue number1
StatePublished - Mar 2013
Externally publishedYes

Keywords

  • Biomedicine
  • Relational data mining
  • Semantic data mining

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