Le rôle de l'utilisateur dans un processus d'extraction de règles d'association

Cyril Nortet 1 Ansaf Salleb 2 Teddy Turmeaux 1 Christel Vrain 1
2 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : We propose QUANTMINER, a genetic-based system for mining quantitative association rules. Our algorithm starts with a set of rule templates chosen by the user and then looks dynamically for the "best" intervals for the numeric attributes present in these templates. An optimization criterion based on both support and confidence is used to keep only high quality and interesting rules. In QUANTMINER, the user is highly solicited in order to guide themining process thus avoiding the discovery of hundreds of rules, as it is usually the case in association rule mining.
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https://hal.archives-ouvertes.fr/hal-00084890
Contributor : Christel Vrain <>
Submitted on : Monday, July 10, 2006 - 7:08:11 PM
Last modification on : Thursday, January 17, 2019 - 3:06:06 PM

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  • HAL Id : hal-00084890, version 1

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Cyril Nortet, Ansaf Salleb, Teddy Turmeaux, Christel Vrain. Le rôle de l'utilisateur dans un processus d'extraction de règles d'association. Atelier Qualité des Données et des Connaissances. Associé à ECG 2005, 2005, France. ⟨hal-00084890⟩

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