@article {1661, title = {Rules for contrast sets}, journal = {Intelligent Data Analysis}, volume = {14}, year = {2010}, pages = {623-640}, abstract = {

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.

}, attachments = {https://haslab.uminho.pt/sites/default/files/pja/files/ida_cs.pdf}, author = {Paulo Jorge Azevedo} }