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Authors: Juan L. Domínguez-Olmedo ; Jacinto Mata ; Victoria Pachón and Manuel J. Maña

Affiliation: Universidad de Huelva, Spain

Keyword(s): Data mining, Association rules, Atherosclerosis data.

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 ; Pattern Recognition and Machine Learning ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Systems in Medicine

Abstract: Association rule mining is a popular technique used to find associations between attributes in a dataset. When using deterministic algorithms, if the attributes have numerical values the usual approach is to discretize them defining proper intervals. But the discretization can notably affect the quality of the rules generated. This work presents a method based on a deterministic exploration of the interval search space without a previous discretization of the numerical attributes. It has been applied to medical data from an atherosclerosis study. The quality of the obtained rules seems to support this method as a valid alternative for this kind of rule extraction.

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Paper citation in several formats:
L. Domínguez-Olmedo, J.; Mata, J.; Pachón, V. and J. Maña, M. (2012). RULE EXTRACTION FROM MEDICAL DATA WITHOUT DISCRETIZATION OF NUMERICAL ATTRIBUTES. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF; ISBN 978-989-8425-88-1; ISSN 2184-4305, SciTePress, pages 397-400. DOI: 10.5220/0003784603970400

@conference{healthinf12,
author={Juan {L. Domínguez{-}Olmedo}. and Jacinto Mata. and Victoria Pachón. and Manuel {J. Maña}.},
title={RULE EXTRACTION FROM MEDICAL DATA WITHOUT DISCRETIZATION OF NUMERICAL ATTRIBUTES},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF},
year={2012},
pages={397-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003784603970400},
isbn={978-989-8425-88-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF
TI - RULE EXTRACTION FROM MEDICAL DATA WITHOUT DISCRETIZATION OF NUMERICAL ATTRIBUTES
SN - 978-989-8425-88-1
IS - 2184-4305
AU - L. Domínguez-Olmedo, J.
AU - Mata, J.
AU - Pachón, V.
AU - J. Maña, M.
PY - 2012
SP - 397
EP - 400
DO - 10.5220/0003784603970400
PB - SciTePress

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