An Ensemble Resampling Based Transfer AdaBoost Algorithm for Small Sample Credit Classification with Class Imbalance-Reference-Cited by-同舟云学术

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An Ensemble Resampling Based Transfer AdaBoost Algorithm for Small Sample Credit Classification with Class Imbalance

Published:2024-08-03 Issue: Volume: Page:
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Zhang Xiaoming^ORCID,Yu Lean^ORCID,Yin Hang

Funder

the National Natural Science Foundation of China

the Technical Field Fund of Basic Research Strengthening Program

the Science and Technology Project of Jiangxi Provincial Department of Education

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10614-024-10690-6.pdf

Reference59 articles.

1. Batista, G., Prati, R. C., & Monard, M. C. (2004). A study of the behavior of several methods for balancing machine learning training data. ACM Sigkdd Explorations Newsletter, 6(1), 20–29. https://doi.org/10.1145/1007730.1007735

2. Ben Jabeur, S., Stef, N., & Carmona, P. (2023). Bankruptcy prediction using the XGBoost algorithm and variable importance feature engineering. Computational Economics, 61, 715–741. https://doi.org/10.1007/s10614-021-10227-1

3. Breiman, L. (1996). Bagging predictors. Machine Learning, 24(2), 123–140. https://doi.org/10.1007/BF00058655

4. Cha, S. H. (2007). Comprehensive survey on distance/similarity measures between probability density functions. International Journal of Mathematical Models and Methods in Applied Sciences, 1(4), 300–307. https://doi.org/10.1007/s00167-009-0884-z

5. Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16, 321–357. https://doi.org/10.1613/jair.953

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