| Autor: |
Marinica, Claudia, Guillet, Fabrice, Briand, Henri |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
The Second International Workshop on Domain Driven Data Mining (DDDM 2008) in IEEE International Conference of Data Mining, Pisa : Italie (2008) |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1109/ICDMW.2008.87 |
| Popis: |
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. |
| Databáze: |
arXiv |
| Externí odkaz: |
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