Improving a Fuzzy Discretization Process by Bagging

José Manuel Cadenas; María del Carmen Garrido; Raquel Martínez

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Improving a Fuzzy Discretization Process by Bagging

Topics: Approximate Reasoning and Fuzzy Inference; Pattern Recognition: Fuzzy Clustering and Classifiers

In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 0IJCCI, 201-212, 2013 , Vilamoura, Algarve, Portugal

Authors: José Manuel Cadenas ; María del Carmen Garrido and Raquel Martínez

Affiliation: University of Murcia, Spain

Keyword(s): Crisp/Fuzzy Discretization, Bagging, Numerical Attributes, Data Mining.

Related Ontology Subjects/Areas/Topics: Approximate Reasoning and Fuzzy Inference ; Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing

Abstract: Classification problems in which the number of attributes is larger than the number of examples are increasingly common with rapid technological advances in data collection. Also numerical data are predominant in real world applications and many algorithms in supervised learning are restricted to discrete attributes. Focusing on these issues, we proposed an improvement in a fuzzy discretization method by means of introduction of a bagging process in the different phases of the method. The bagging process tries to solve problems which can appear with small size datasets. Also we show the benefits that bagging introduces in the method by means of several experiments. The experiments are validated by means of statistical test.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.82.128

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Manuel Cadenas, J.; del Carmen Garrido, M. and Martínez, R. (2013). Improving a Fuzzy Discretization Process by Bagging. In Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - FCTA; ISBN 978-989-8565-77-8; ISSN 2184-3236, SciTePress, pages 201-212. DOI: 10.5220/0004553402010212

@conference{fcta13,
author={José {Manuel Cadenas}. and María {del Carmen Garrido}. and Raquel Martínez.},
title={Improving a Fuzzy Discretization Process by Bagging},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - FCTA},
year={2013},
pages={201-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004553402010212},
isbn={978-989-8565-77-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - FCTA
TI - Improving a Fuzzy Discretization Process by Bagging
SN - 978-989-8565-77-8
IS - 2184-3236
AU - Manuel Cadenas, J.
AU - del Carmen Garrido, M.
AU - Martínez, R.
PY - 2013
SP - 201
EP - 212
DO - 10.5220/0004553402010212
PB - SciTePress