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dc.contributor.authorStefanowski, Jerzy
dc.contributor.authorVanderpooten, Daniel
dc.date.accessioned2009-09-15T12:21:57Z
dc.date.available2009-09-15T12:21:57Z
dc.date.issued2001
dc.identifier.issn0884-8173
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/1626
dc.language.isoenen
dc.subjectSystème expert
dc.subjectBase connaissance
dc.subjectClassification
dc.subject.ddc005en
dc.titleInduction of decision rules in classification and discovery-oriented perspectives
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherPolitechnika Poznaska - Instytut Informatyki;Pologne
dc.description.abstractenThis paper discusses induction of decision rules from data tables representing information about a set of objects described by a set of attributes. If the input data contains inconsistencies, rough sets theory can be used to handle them. The most popular perspectives of rule induction are classification and knowledge discovery. The evaluation of decision rules is quite different depending on the perspective. Criteria for evaluating the quality of a set of rules are presented and discussed. The degree of conflict and the possibility of achieving a satisfying compromise between criteria relevant to classification and criteria relevant to discovery are then analyzed. For this purpose, we performed an extensive experimental study on several well-known data sets where we compared two different approaches: (1) the popular rough set based rule induction algorithm LEM2 generating classification rules, (2) our own algorithm Explore - specific for discovery perspective.
dc.relation.isversionofjnlnameInternational Journal of Intelligent Systems
dc.relation.isversionofjnlvol16
dc.relation.isversionofjnlissue1
dc.relation.isversionofjnldate2001
dc.relation.isversionofjnlpages13-27
dc.relation.isversionofdoihttp://dx.doi.org/10.1002/1098-111X(200101)16:1<13::AID-INT3>3.0.CO;2-M
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherWiley
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.relation.Isversionofjnlpeerreviewedoui
dc.date.updated2016-10-06T10:01:13Z


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