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Alternative normalization schemas for bayesian confirmation measures

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Analysis of rule interestingness measures with respect to their properties is an important research area helping to identify groups of measures that are truly meaningful. In this article, we analyze property Ex 1, of preservation of extremes, in a group of confirmation measures. We consider normalization as a mean to transform them so that they would obtain property Ex 1 and we introduce three alternative approaches to the problem: an approach inspired by Nicod, Bayesian, and likelihoodist approach. We analyze the results of the normalizations of seven measures with respect to property Ex 1 and show which approaches lead to the desirable results. Moreover, we extend the group of ordinally non-equivalent measures possessing valuable property Ex 1.
Original languageEnglish
Title of host publicationComputational intelligence for knowledge-based systems design: 13th international conference on information processing and management of uncertainty
EditorsE. Hullermeier, R. Kruse, F. Hoffmann
Place of PublicationBerlin
PublisherSpringer
Pages230-239
Number of pages10
Volume6178
Edition6178
ISBN (Print)9783642140488
DOIs
Publication statusPublished - Jul 2010

Publication series

NameLecture notes in computer science
PublisherSpringer
Number6178
ISSN (Print)0302-9743

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