Post-Processing of Discovered Association Rules Using OntologiesReport as inadecuate




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1 LINA - Laboratoire d-Informatique de Nantes Atlantique

Abstract : In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. In this paper we propose a new approach to prune and filter discovered rules. Using Domain Ontologies, we strengthen the integration of user knowledge in the post-processing task. Furthermore, an interactive and iterative framework is designed to assist the user along the analyzing task. On the one hand, we represent user domain knowledge using a Domain Ontology over database. On the other hand, a novel technique is suggested to prune and to filter discovered rules. The proposed framework was applied successfully over the client database provided by Nantes Habitat.





Author: Claudia Marinica - Fabrice Guillet - Henri Briand -

Source: https://hal.archives-ouvertes.fr/



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