Explaining Subgroups through Ontologies

  • Anže Vavpetič
  • Vid Podpečan
  • Stijn Meganck
  • Nada Lavrač
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7458)

Abstract

Subgroup discovery (SD) methods can be used to find interesting subsets of objects of a given class. Subgroup descriptions (rules) are themselves good explanations of the subgroups. Domain ontologies provide additional descriptions to data and can provide alternative explanations of discovered rules; such explanations in terms of higher level ontology concepts have the potential of providing new insights into the domain of investigation. We show that this additional explanatory power can be ensured by using recently developed semantic SD methods. We present the new approach to explaining subgroups through ontologies and demonstrate its utility on a gene expression profiling use case where groups of patients, identified through SD in terms of gene expression, are further explained through concepts from the Gene Ontology and KEGG orthology.

Keywords

data mining subgroup discovery ontologies microarray data 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Anže Vavpetič
    • 1
  • Vid Podpečan
    • 1
  • Stijn Meganck
    • 2
  • Nada Lavrač
    • 1
    • 3
  1. 1.Department of Knowledge TechnologiesJožef Stefan InstituteLjubljanaSlovenia
  2. 2.Computational Modeling LabVrije Universiteit BrusselBrusselBelgium
  3. 3.University of Nova GoricaNova GoricaSlovenia

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