Improved hybrid resampling and ensemble model for imbalance learning and credit evaluation

A clustering-based undersampling (CUS) and distance-based near-miss method are widely used in current imbalanced learning algorithms, but this method has certain drawbacks. In particular, the CUS does not consider the influence of the distance factor on the majority of instances, and the near-miss m...

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Bibliographic Details
Main Authors: Gang Kou, Hao Chen, Mohammed A. Hefni
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-12-01
Series:Journal of Management Science and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096232022000300