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Communication Dans Un Congrès Année : 2008

Post-Processing of Discovered Association Rules Using Ontologies

Résumé

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.
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Dates et versions

hal-00421501 , version 1 (02-10-2009)

Identifiants

Citer

Claudia Marinica, Fabrice Guillet, Henri Briand. Post-Processing of Discovered Association Rules Using Ontologies. The Second International Workshop on Domain Driven Data Mining (DDDM 2008) in IEEE International Conference of Data Mining, Dec 2008, Pisa, Italy. pp.126-133, ⟨10.1109/ICDMW.2008.87⟩. ⟨hal-00421501⟩
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