PROTOTYPE SELECTION IN IMBALANCED DATA FOR DISSIMILARITY REPRESENTATION - A Preliminary Study

Mónica Millán Giraldo, Vicente García, J. Salvador Sánchez

2012

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.

Paper Citation

in Harvard Style

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 1: ICPRAM, ISBN 978-989-8425-98-0, pages 242-247. DOI: 10.5220/0003795502420247

in Bibtex Style

@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 1: ICPRAM,},
year={2012},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003795502420247},
isbn={978-989-8425-98-0},
}

in EndNote Style

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