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dc.contributor.authorHo, Tu Bao
dc.contributor.authorDiday, Edwin
dc.contributor.authorGettler-Summa, Mireille
dc.date.accessioned2014-10-30T12:45:15Z
dc.date.available2014-10-30T12:45:15Z
dc.date.issued1988
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/14071
dc.language.isoenen
dc.subjectLearningen
dc.subjectdescriptive generalizationen
dc.subjectdataen
dc.subjectknowledgeen
dc.subjectsymbolic processingen
dc.subjectrepresentative ruleen
dc.subjectfictitious objectsen
dc.subject.ddc519en
dc.titleGenerating rules for expert systems from observationsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenWe present here a learning method in order to generate rules from a large set of observations. This is useful to help experts in constructing rules for knowledge rule-based systems.en
dc.relation.isversionofjnlnamePattern Recognition Letters
dc.relation.isversionofjnlvol7en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate1988
dc.relation.isversionofjnlpages265-271en
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/0167-8655(88)90066-9en
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen


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