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Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

Gerd Stumme Rafik Taouil 1 Yves Bastide 2 Nicolas Pasquier 3 Lotfi Lakhal 4
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes
3 UNS - Université Nice Sophia Antipolis (... - 2019)
4 LIM - Laboratoire d'Informatique Médicale
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.
Mots-clés : association rules analyse formmelle de concepts formal concept analysis large databases knowledge representation règles d'association représentation des connaissances
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Conference papers
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https://hal.inria.fr/inria-00100665
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:48:48 PM
Last modification on : Friday, February 26, 2021 - 3:28:05 PM

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  • HAL Id : inria-00100665, version 1

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INRIA | CNRS | UNICE | UNIV-RENNES1 | LIMOS | PRES_CLERMONT | SIGMA-CLERMONT | LORIA | UNIV-LORRAINE | UNIV-COTEDAZUR | UNIV-RENNES

Citation

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. ⟨inria-00100665⟩

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