Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
Identifieur interne : 009340 ( Main/Exploration ); précédent : 009339; suivant : 009341Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
Auteurs : Gerd Stumme [Allemagne] ; Rafik Taouil [France] ; Yves Bastide [France] ; Nicolas Pasquier [France] ; Lotfi Lakhal [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Base de données.
English descriptors
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Abstract
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.1
Url:
DOI: 10.1007/3-540-45422-5_24
Affiliations:
- Allemagne, France
- Auvergne (région administrative), Auvergne-Rhône-Alpes, Bade-Wurtemberg, District de Karlsruhe, Grand Est, Lorraine (région), Provence-Alpes-Côte d'Azur
- Aubiére, Karlsruhe, Marseille, Sophia Antipolis, Vandœuvre-lès-Nancy
- Université Blaise-Pascal, Université Nice Sophia Antipolis, Université de la Méditerranée
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Le document en format XML
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