USER-DRIVEN ASSOCIATION RULE MINING USING A LOCAL ALGORITHM

Claudia Marinica, Andrei Olaru, Fabrice Guillet

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.

References

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Paper Citation


in Harvard Style

Marinica C., Olaru A. and Guillet F. (2009). USER-DRIVEN ASSOCIATION RULE MINING USING A LOCAL ALGORITHM . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 200-205. DOI: 10.5220/0002003002000205


in Bibtex Style

@conference{iceis09,
author={Claudia Marinica and Andrei Olaru and Fabrice Guillet},
title={USER-DRIVEN ASSOCIATION RULE MINING USING A LOCAL ALGORITHM},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={200-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002003002000205},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - USER-DRIVEN ASSOCIATION RULE MINING USING A LOCAL ALGORITHM
SN - 978-989-8111-85-2
AU - Marinica C.
AU - Olaru A.
AU - Guillet F.
PY - 2009
SP - 200
EP - 205
DO - 10.5220/0002003002000205