Sensitivity and Simmetry of Confirmation Measures

15 Pages Posted: 23 Oct 2014

See all articles by Emilio Celotto

Emilio Celotto

Ca Foscari University of Venice - Department of Management

Date Written: October 2014

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

JEL Classification: C10, C44, C80

Suggested Citation

Celotto, Emilio, Sensitivity and Simmetry of Confirmation Measures (October 2014). Department of Management, Università Ca' Foscari Venezia Working Paper No. 2014/22, Available at SSRN: https://ssrn.com/abstract=2513383 or http://dx.doi.org/10.2139/ssrn.2513383

Emilio Celotto (Contact Author)

Ca Foscari University of Venice - Department of Management ( email )

San Giobbe, Cannaregio 873
Venice, 30121
Italy

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