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GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets
Acte de colloque   Open Access

GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets

Anne Laurent, Marie-Jeanne Lesot et Maria Rifqi
Lecture Notes in Computer Science, Vol.5822, pp.382-393
Lecture Notes in Computer Science
8th International Conference on Flexible Query Answering Systems (FQAS) (Roskilde, Denmark, 26/10/2009–28/10/2009)
2009

Résumé

Data Mining Gradual Dependencies Gradual Itemsets Gradual Rules Ranking Comparison
Gradual dependencies of the form the more A, the more B offer valuable information that linguistically express relationships be- tween variations of the attributes. Several formalisations and automatic extraction algorithms have been proposed recently. In this paper, we first present an overview of these methods. We then propose an algorithm that combines the principles of several existing approaches and benefits from efficient computational properties to extract frequent gradual itemsets.

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