Extraction de concepts et de relations en analyse relationnelle de concepts (ARC)
Identifieur interne : 005C16 ( Hal/Corpus ); précédent : 005C15; suivant : 005C17Extraction de concepts et de relations en analyse relationnelle de concepts (ARC)
Auteurs : Amine Mohamed Rouane Hacene ; Marianne Huchard ; Amedeo Napoli ; Petko ValtchevSource :
English descriptors
Abstract
L'analyse de données complexes reste hors la portée de l'approche par treillis, essentiellement à cause des aspects relationnels inhérents à ces données. Nous présentons une manière de réconcilier l'AFC et les formats de donnés relationnelles.d'origine et le niveau de revenu de chacun.
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Hal:lirmm-00183386Le document en format XML
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<front><div type="abstract" xml:lang="fr">L'analyse de données complexes reste hors la portée de l'approche par treillis, essentiellement à cause des aspects relationnels inhérents à ces données. Nous présentons une manière de réconcilier l'AFC et les formats de donnés relationnelles.d'origine et le niveau de revenu de chacun.</div>
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<hal api="V3"><titleStmt><title xml:lang="fr">Extraction de concepts et de relations en analyse relationnelle de concepts (ARC)</title>
<author role="aut"><persName><forename type="first">Amine Mohamed</forename>
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<author role="aut"><persName><forename type="first">Marianne</forename>
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<author role="aut"><persName><forename type="first">Amedeo</forename>
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<author role="aut"><persName><forename type="first">Petko</forename>
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<abstract xml:lang="fr">L'analyse de données complexes reste hors la portée de l'approche par treillis, essentiellement à cause des aspects relationnels inhérents à ces données. Nous présentons une manière de réconcilier l'AFC et les formats de donnés relationnelles.d'origine et le niveau de revenu de chacun.</abstract>
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