Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
Identifieur interne : 008E81 ( Main/Exploration ); précédent : 008E80; suivant : 008E82Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
Auteurs : Gerd Stumme ; Rafik Taouil ; Yves Bastide ; Nicolas Pasquier ; Lotfi LakhalSource :
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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<front><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>
<name sortKey="Taouil, Rafik" sort="Taouil, Rafik" uniqKey="Taouil R" first="Rafik" last="Taouil">Rafik Taouil</name>
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