Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement Martin Atzmueller, Joachim Baumeister, Frank Puppe

Abstract. When intelligent systems are deployed into a real-world application, then the maintenance and the refinement of the knowledge are essential tasks. Many existing automatic knowledge refinement methods only provide limited control and clarification capabilities during the refinement process. In this paper, we present a novel user-guided approach for the refinement of knowledge bases using subgroup mining
methods. Additionally, we describe a technique that helps the user to interpret the refinement recommendations proposed by the system.

Keywords. Subgroup Discovery, Subgroup Mining, Knowledge Refinement

BiBTeX:

@INPROCEEDINGS{ABP:05,
   author = {Martin Atzmueller and Joachim Baumeister and Frank Puppe},
   title = {{Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement}},
   booktitle = {Proceedings of the 13th Leipziger Informatik-Tage 2005 (LIT 2005)},
   pages = {101-106},
   series = {LNI},
   year = {2005}
}