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Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

Identifieur interne : 008E81 ( Main/Exploration ); précédent : 008E80; suivant : 008E82

Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

Auteurs : Gerd Stumme ; Rafik Taouil ; Yves Bastide ; Nicolas Pasquier ; Lotfi Lakhal

Source :

RBID : CRIN:stumme01a

English descriptors

Abstract

Association rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation.


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en" wicri:score="753">Association rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation.</div>
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<name sortKey="Pasquier, Nicolas" sort="Pasquier, Nicolas" uniqKey="Pasquier N" first="Nicolas" last="Pasquier">Nicolas Pasquier</name>
<name sortKey="Stumme, Gerd" sort="Stumme, Gerd" uniqKey="Stumme G" first="Gerd" last="Stumme">Gerd Stumme</name>
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