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Authors: Xuan-Hiep Huynh ; Fabrice Guillet and Henri Briand

Affiliation: LINA FRE CNRS 2729 - Polytechnic school of Nantes university, France

Keyword(s): interestingness measure, stable cluster, post-processing, association rules, knowledge quality.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: In this paper, dealing with association rules post-processing, we propose to study the correlations between 36 interestingness measures (IM), in order to better understand their behavior on data and finally to help the data miner chooses the best IMs. We used two datasets with opposite characteristics in which we extract two rulesets about 100000 rules, and the two subsets of the 1000 best rules according to IMs. The study of the correlation between IMs with PAM and AHC shows unexpected stabilities between the four ruleset, and more precisely eight stable clusters of IMs are found and described.

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Paper citation in several formats:
Huynh, X.; Guillet, F. and Briand, H. (2006). DISCOVERING THE STABLE CLUSTERS BETWEEN INTERESTINGNESS MEASURES. In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-972-8865-42-9; ISSN 2184-4992, SciTePress, pages 196-201. DOI: 10.5220/0002493701960201

@conference{iceis06,
author={Xuan{-}Hiep Huynh. and Fabrice Guillet. and Henri Briand.},
title={DISCOVERING THE STABLE CLUSTERS BETWEEN INTERESTINGNESS MEASURES},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2006},
pages={196-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002493701960201},
isbn={978-972-8865-42-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - DISCOVERING THE STABLE CLUSTERS BETWEEN INTERESTINGNESS MEASURES
SN - 978-972-8865-42-9
IS - 2184-4992
AU - Huynh, X.
AU - Guillet, F.
AU - Briand, H.
PY - 2006
SP - 196
EP - 201
DO - 10.5220/0002493701960201
PB - SciTePress