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Article type: Research Article
Authors: Azevedo, Paulo J.
Affiliations: CCTC, Departamento de Informática, Campus de Gualtar, Universidade do Minho, 4710-057 Braga, Portugal. E-mail: pja@di.uminho.pt
Abstract: In this paper we present a technique to derive rules describing contrast sets. Contrast sets are a formalism to represent groups differences. We propose a novel approach to describe directional contrasts using rules where the contrasting effect is partitioned into pairs of groups. Our approach makes use of a directional Fisher Exact Test to find significant differences across groups. We used a Bonferroni within-search adjustment to control type I errors and a pruning technique to prevent derivation of non significant contrast set specializations.
Keywords: Contrast Sets, association rules, Fisher exact test, Bonferroni adjustment
DOI: 10.3233/IDA-2010-0444
Journal: Intelligent Data Analysis, vol. 14, no. 6, pp. 623-640, 2010
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