FILTERING ASSOCIATION RULES WITH NEGATIONS ON THE BASIS OF THEIR CONFIDENCE BOOST

José L. Balcázar, Cristina Tîrnăucă, Marta E. Zorrilla

Abstract

We consider a recent proposal to filter association rules on the basis of their novelty: the confidence boost. We develop appropriate mathematical tools to understand it in the presence of negated attributes, and explore the effect of applying it to association rules with negations. We show that, in many cases, the notion of confidence boost allows us to obtain reasonably sized output consisting of intuitively interesting association rules with negations.

References

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Paper Citation


in Harvard Style

Balcázar J., Tîrnăucă C. and Zorrilla M. (2010). FILTERING ASSOCIATION RULES WITH NEGATIONS ON THE BASIS OF THEIR CONFIDENCE BOOST . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 263-268. DOI: 10.5220/0003095802630268


in Bibtex Style

@conference{kdir10,
author={José L. Balcázar and Cristina Tîrnăucă and Marta E. Zorrilla},
title={FILTERING ASSOCIATION RULES WITH NEGATIONS ON THE BASIS OF THEIR CONFIDENCE BOOST},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003095802630268},
isbn={978-989-8425-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - FILTERING ASSOCIATION RULES WITH NEGATIONS ON THE BASIS OF THEIR CONFIDENCE BOOST
SN - 978-989-8425-28-7
AU - Balcázar J.
AU - Tîrnăucă C.
AU - Zorrilla M.
PY - 2010
SP - 263
EP - 268
DO - 10.5220/0003095802630268