Sensitivity and simmetry of Confirmation Measures

Emilio Celotto ()
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Emilio Celotto: Dept. of Management, Università Ca' Foscari Venice

No 22, Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia

Abstract: Bayesian Confirmation Measures can be used in ranking inductive rules obtained as an output when using Association Rules in database mining. Many measures of this kind have been defined and the choice of the right one can be considered as a further challenge to be faced. In this paper we try to classify them observing their sensitivity and simmetry properties.

Keywords: Multi-Criteria; Association rules; Confirmation measure; Data Mining (search for similar items in EconPapers)
JEL-codes: C10 C44 C80 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2014-10
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