Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/34981

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dc.contributor.authorAzevedo, Paulo J.por
dc.date.accessioned2015-04-27T11:00:05Z-
dc.date.available2015-04-27T11:00:05Z-
dc.date.issued2010-
dc.identifier.citationAzevedo PJ. 2010. Rules for contrast sets. Intelligent Data Analysis. 14(6):623-640.-
dc.identifier.issn1088-467Xpor
dc.identifier.urihttps://hdl.handle.net/1822/34981-
dc.description.abstractIn this paper we present a technique to derive rules describing contrast sets. Contrast sets are a formalism to represent groups diferences. We propose a novel approach to describe directional contrasts using rules where the contrasting efect is partitioned into pairs of groups. Our approach makes use of a directional Fisher Exact Test to and significant diferences 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.por
dc.description.sponsorshipThanks to Prof. M. Pazzani for kindly providing the code for the STUCCO algorithm. This work was Supported by Fundacao Ciencia e Tecnologia, Project PFound, Project ProtUnf, FEDER and Programa de Financiamento Plurianual de Unidades de I & D.por
dc.language.isoengpor
dc.publisherIOS Presspor
dc.rightsopenAccesspor
dc.subjectContrast Setspor
dc.subjectassociation rulespor
dc.subjectFisher exact testpor
dc.subjectBonferroni adjustmentpor
dc.titleRules for contrast setspor
dc.typearticlepor
dc.peerreviewedyespor
dc.comments1661por
sdum.publicationstatuspublishedpor
oaire.citationStartPage1por
oaire.citationEndPage31por
oaire.citationIssue6por
oaire.citationTitleIntelligent Data Analysis-
oaire.citationVolume14por
dc.identifier.doi10.3233/IDA-2010-0444por
dc.subject.wosScience & Technologypor
sdum.journalIntelligent Data Analysispor
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