Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction-Reference-Cited by-同舟云学术

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Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction

Published:2016-10 Issue: Volume:59 Page:226-234
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kim Hyun-Jung,Jo Nam-Ok,Shin Kyung-Shik^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. Analysis of ordinal categorical data;Agresti,1984

2. Applications of data mining in retail business;Ahmed;Information Technology: Coding and Computing,2004

3. Neural networks and genetic algorithms for bankruptcy predictions;Back;Expert Systems with Applications,1996

4. Imbalanced training data set reduction and feature selection through genetic optimization;Barandela;CCIA,2005

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