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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Atzmueller, M., & Puppe, F. (2006). A methodological view on knowledge-intensive subgroup discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4248 LNAI, pp. 318–325). Springer Verlag. https://doi.org/10.1007/11891451_28
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