AN HYBRID APPROACH TO FEATURE SELECTION FOR MIXED CATEGORICAL AND CONTINUOUS DATA

Gauthier Doquire; Michel Verleysen

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Paper

AN HYBRID APPROACH TO FEATURE SELECTION FOR MIXED CATEGORICAL AND CONTINUOUS DATA

Topics: Information Extraction; Machine Learning; Pre-Processing and Post-Processing for Data Mining

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 386-393, 2011 , Paris, France

Authors: Gauthier Doquire and Michel Verleysen

Affiliation: Université catholique de Louvain, Belgium

Keyword(s): Feature selection, Categorical features, Continuous features, Mutual information.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Pre-Processing and Post-Processing for Data Mining ; Soft Computing ; Symbolic Systems

Abstract: This paper proposes an algorithm for feature selection in the case of mixed data. It consists in ranking independently the categorical and the continuous features before recombining them according to the accuracy of a classifier. The popular mutual information criterion is used in both ranking procedures. The proposed algorithm thus avoids the use of any similarity measure between samples described by continuous and categorical attributes, which can be unadapted to many real-world problems. It is able to effectively detect the most useful features of each type and its effectiveness is experimentally demonstrated on four real-world data sets.

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Paper citation in several formats:

Doquire, G. and Verleysen, M. (2011). AN HYBRID APPROACH TO FEATURE SELECTION FOR MIXED CATEGORICAL AND CONTINUOUS DATA. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 386-393. DOI: 10.5220/0003634903940401

@conference{kdir11,
author={Gauthier Doquire. and Michel Verleysen.},
title={AN HYBRID APPROACH TO FEATURE SELECTION FOR MIXED CATEGORICAL AND CONTINUOUS DATA},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={386-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003634903940401},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - AN HYBRID APPROACH TO FEATURE SELECTION FOR MIXED CATEGORICAL AND CONTINUOUS DATA
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Doquire, G.
AU - Verleysen, M.
PY - 2011
SP - 386
EP - 393
DO - 10.5220/0003634903940401
PB - SciTePress