Paper Info
Title
Alternative normalization schemas for Bayesian confirmation measures
Abstract
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 Ex1, 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 Ex1 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 Ex1 and show which approaches lead to the desirable results. Moreover, we extend the group of ordinally non-equivalent measures possessing valuable property Ex1.
Year
DOI
Venue
2010
10.1007/978-3-642-14049-5_24
IPMU
Keywords
Field
DocType
alternative normalization schema,desirable result,likelihoodist approach,confirmation measure,valuable property ex1,ordinally non-equivalent,alternative approach,property ex1,important research area,rule interestingness measure,bayesian confirmation measure,normalization,computing,business information systems
Management information systems,Normalization (statistics),Computer science,Artificial intelligence,Schema (psychology),Machine learning,Bayesian probability
Conference
ISBN
Citations 
PageRank 
3-642-14048-3
2
0.40
References 
Authors
8
3
Name
Order
Citations
PageRank
Salvatore Greco13977266.79
Roman Slowinski25561516.06
Izabela Szczęch3567.90