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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01072729
Contributor : Maria Rifqi <>
Submitted on : Wednesday, October 9, 2019 - 9:42:31 AM
Last modification on : Thursday, October 10, 2019 - 8:25:13 AM

File

hal-01072729v1.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01072729, version 1

Citation

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⟩

Share

Metrics

Record views

159

Files downloads

10