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Authors: Mónica Millán Giraldo ; Vicente García and J. Salvador Sánchez

Affiliation: Universitat Jaume I, Spain

Keyword(s): Dissimilarity-based classification, Class imbalance problem, Prototype selection.

Related Ontology Subjects/Areas/Topics: Classification ; Instance-Based Learning ; Pattern Recognition ; Similarity and Distance Learning ; Theory and Methods

Abstract: In classification problems, the dissimilarity representation has shown to be more robust than using the feature space. In order to build the dissimilarity space, a representation set of r objects is used. Several methods have been proposed for the selection of a suitable representation set that maximizes the classification performance. A recurring and crucial challenge in pattern recognition and machine learning refers to the class imbalance problem, which has been said to hinder the performance of learning algorithms. In this paper, we carry out a preliminary study that pursues to investigate the effects of several prototype selection schemes when data set are imbalanced, and also to foresee the benefits of selecting the representation set when the class imbalance is handled by resampling the data set. Statistical analysis of experimental results using Friedman test demonstrates that the application of resampling significantly improve the performance classification.

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Paper citation in several formats:
Millán Giraldo, M.; García, V. and Salvador Sánchez, J. (2012). PROTOTYPE SELECTION IN IMBALANCED DATA FOR DISSIMILARITY REPRESENTATION - A Preliminary Study. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 242-247. DOI: 10.5220/0003795502420247

@conference{icpram12,
author={Mónica {Millán Giraldo}. and Vicente García. and J. {Salvador Sánchez}.},
title={PROTOTYPE SELECTION IN IMBALANCED DATA FOR DISSIMILARITY REPRESENTATION - A Preliminary Study},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2012},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003795502420247},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - PROTOTYPE SELECTION IN IMBALANCED DATA FOR DISSIMILARITY REPRESENTATION - A Preliminary Study
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Millán Giraldo, M.
AU - García, V.
AU - Salvador Sánchez, J.
PY - 2012
SP - 242
EP - 247
DO - 10.5220/0003795502420247
PB - SciTePress

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