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Conference Papers Year : 2009

User-driven Association Rule Mining Using a Local Algorithm

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Andrei Olaru
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Abstract

One of the main issues in the process of Knowledge Discovery in Databases is the Mining of Association Rules. Although a great variety of pattern mining algorithms have been designed to this purpose, their main problems rely on in the large number of extracted rules, that need to be filtered in a post-processing step resulting in fewer but more interesting results. In this paper we suggest a new algorithm, that allows the user to explore the rules space locally and incrementally. The user interests and preferences are represented by means of the new proposed formalism - the Rule Schemas. The method has been successfully tested on the database provided by Nantes Habitat.

Dates and versions

hal-00424596 , version 1 (16-10-2009)

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Claudia Marinica, Andrei Olaru, Fabrice Guillet. User-driven Association Rule Mining Using a Local Algorithm. 11th International Conference on Enterprise Information Systems, May 2009, Milan, Italy. pp.200-205, ⟨10.5220/0002003002000205⟩. ⟨hal-00424596⟩
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