Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

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.
Type de document :
Communication dans un congrès
24th German / 9th Austrian Conference on Artificial Intelligence - KI 2001, Sep 2001, Vienna, Austria, 15 p, 2001
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https://hal.inria.fr/inria-00100665
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Soumis le : mardi 26 septembre 2006 - 14:48:48
Dernière modification le : lundi 26 mars 2018 - 15:22:58

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  • HAL Id : inria-00100665, version 1

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Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal. Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. 24th German / 9th Austrian Conference on Artificial Intelligence - KI 2001, Sep 2001, Vienna, Austria, 15 p, 2001. 〈inria-00100665〉

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