A methodological view on knowledge-intensive subgroup discovery

Authors:
Martin Atzmueller;Frank Puppe
Affiliations:
Department of Computer Science, University of Würzburg, Würzburg, Germany;Department of Computer Science, University of Würzburg, Würzburg, Germany
Venue:
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Year:
2006

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Abstract

Background knowledge is a natural resource for knowledge-intensive methods: Its exploitation can often improve the quality of their results significantly. In this paper we present a methodological view on knowledge-intensive subgroup discovery: We introduce different classes and specific types of useful background knowledge, discuss their benefit and costs, and describe their application in the subgroup discovery setting.