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Extraction de motifs graduels par corrélations d'ordres induits

Abstract : Gradual tendencies of the form the more X is A, the more Y is B linguistically express information about correlation between attributes and their covariations. In this paper, we present a comparative study of the various formalisations that have been proposed, studying their respective semantics and properties. We then propose an algorithm that combines the principles of existing approaches to efficiently extract frequent gradual itemsets, illustrating its use on a real data set.
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Contributor : Maria Rifqi <>
Submitted on : Wednesday, October 9, 2019 - 9:42:31 AM
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  • HAL Id : hal-01072729, version 1


Anne Laurent, Marie-Jeanne Lesot, Maria Rifqi. Extraction de motifs graduels par corrélations d'ordres induits. LFA: Logique Floue et ses Applications, Nov 2010, Lannion, France. pp.143-150. ⟨hal-01072729⟩



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