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

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

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Paper

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

Topics: Data Reduction and Quality Assessment; Pre-Processing and Post-Processing for Data Mining

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 263-268, 2010 , Valencia, Spain

Authors: José L. Balcázar ; Cristina Tîrnăucă and Marta E. Zorrilla

Affiliation: Universidad de Cantabria, Spain

Keyword(s): Association mining, Transactional dataset, Negated items, Confidence, Support, Confidence boost.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Reduction and Quality Assessment ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

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.

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Paper citation in several formats:

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 (IC3K 2010) - KDIR; ISBN 978-989-8425-28-7; ISSN 2184-3228, SciTePress, pages 263-268. DOI: 10.5220/0003095802630268

@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 (IC3K 2010) - KDIR},
year={2010},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003095802630268},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR
TI - FILTERING ASSOCIATION RULES WITH NEGATIONS ON THE BASIS OF THEIR CONFIDENCE BOOST
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Balcázar, J.
AU - Tîrnăucă, C.
AU - Zorrilla, M.
PY - 2010
SP - 263
EP - 268
DO - 10.5220/0003095802630268
PB - SciTePress