Rapid knowledge capture using subgroup discovery with incremental refinement

  • Authors:
  • Martin Atzmueller;Peter Klügl;Joachim Baumeister;Frank Puppe

  • Affiliations:
  • University of Wuerzburg, Wuerzburg, Germany;University of Wuerzburg, Wuerzburg, Germany;University of Wuerzburg, Wuerzburg, Germany;University of Wuerzburg, Wuerzburg, Germany

  • Venue:
  • Proceedings of the 4th international conference on Knowledge capture
  • Year:
  • 2007

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Abstract

This paper presents an approach for rapid knowledge capture using subgroup-discovery techniques. The method enables the acquisition of scoring rules - a knowledge representation that is easy to understand and to maintain. Furthermore, the method features an incremental refinement step that can be applied for fine-tuning of the learned relations. We provide a case study demonstrating the applicability of the presented method using a knowledge base from the biological domain.