SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory-Reference-Cited by-同舟云学术

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

Published:2011-12-04 Issue:2 Volume:33 Page:245-265
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Ramentol Enislay,Caballero Yailé,Bello Rafael,Herrera Francisco

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-011-0465-6.pdf

Reference49 articles.

1. Alcalá-Fdez J, Sánchez L, García S, del Jesus MJ, Ventura S, Garrell JM, Otero J, Romero C, Bacardit J, Rivas VM, Fernández JC, Herrera F (2009) KEEL: a software tool to assess evolutionary algorithms to data mining problems. Soft Comput 13(3): 307–318

2. Alcalá-Fdez J, Fernández A, Luengo J, Derrac J, García S, Sánchez L, Herrera F (2011) KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Multiple-Valued Log Soft Comput 17(2–3): 255–287

3. Asuncion A, Newman D (2007) UCI Machine learning repository. http://mlearn.ics.uci.edu/MLRepository.html

4. Batista GEAPA, Prati RC, Monard MC (2004) A study of the behaviour of several methods for balancing machine learning training data. SIGKDD Explor 6(1): 20–29

5. Bello, R, Falcon, R, Pedrycz, W, Kacprzyk, J (eds) (2008) Granular computing: at the junction of rough sets and fuzzy sets. Springer

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