%0 Journal Article %J Intelligent Data Analysis %D 2010 %T Rules for contrast sets %A Paulo Jorge Azevedo %N 6 %P 623-640 %V 14 %X

In this paper we present a technique to derive rules describing contrast sets. Contrast sets are a formalism to represent groups di ferences. We propose a novel approach to describe directional contrasts using rules where the contrasting e ect is partitioned into pairs of groups. Our approach makes use of a directional Fisher Exact Test to a nd signi cant di erences across groups. We used a Bonferroni within search adjustment to control type I errors and a pruning technique to prevent derivation of non signi cant contrast set specializations.

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