A la Recherche des Motifs Séquentiels Flous

Abstract : Sequential patterns have been studied for several years. They allow the efficient treatment of large datasets in order to discover rules like : < (chocolate bread)(milk) > corresponding to the fact that customers who buy simultaneously chocolate and bred buy later milk. However, these algorithms are built to deal with binary data. However, data from the real worl that are interesting for sequential pattern mining are often quantitative. We propose thus a method based on fuzzy sets in order to mine fuzzy sequential patterns.
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Céline Fiot, Gérard Dray, Anne Laurent, Maguelonne Teisseire. A la Recherche des Motifs Séquentiels Flous. 12èmes Rencontres Francophones sur la Logique Floue et ses Applications (LFA), Nov 2004, Nantes, France. pp.131-138. ⟨lirmm-00108890⟩

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