GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2009

GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets

Abstract

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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Dates and versions

lirmm-00408735 , version 1 (02-11-2019)

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Anne Laurent, Marie-Jeanne Lesot, Maria Rifqi. GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets. 8th International Conference on Flexible Query Answering Systems (FQAS), Oct 2009, Roskilde, Denmark. pp.382-393, ⟨10.1007/978-3-642-04957-6_33⟩. ⟨lirmm-00408735⟩
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