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Chapter

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Title

Application of Bayesian confirmation measures for mining rules from support-confidence Pareto-optimal set

Authors

[ 1 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2006

Chapter type

paper

Publication language

english

Abstract

EN We investigate a monotone link between Bayesian confirmation measures and rule support and confidence. In particular, we prove that two confirmation measures enjoying some desirable properties are monotonically dependent on at least one of the classic dimensions being rule support and confidence. As the confidence measure is unable to identify and eliminate non-interesting rules, for which a premise does not confirm a conclusion, we propose to substitute the confidence for one of the considered confirmation measures. We also provide general conclusions for the monotone link between any confirmation measure enjoying some desirable properties and rule support and confidence.

Pages (from - to)

1018 - 1026

DOI

10.1007/11785231_107

URL

https://link.springer.com/chapter/10.1007/11785231_107

Book

Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings

Presented on

8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, 25-29.06.2006, Zakopane, Poland

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