Imbalanced Credit Card Fraud Detection Data: A Solution Based on Hybrid Neural Network and Clustering-based Undersampling Technique

Author:

Huang HuajieORCID,Liu Bo,Xue Xiaoyu,Cao Jiuxin,Chen Xinyi

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

1. European Central Bank. Sixth report on card fraud. Available: 〈https://www.ecb.europa.eu/pub/cardfraud/html/ecb.cardfraud-report202008~521edb602b.en.html〉

2. SMOTE: synthetic minority over-sampling technique;Chawla;Journal of artificial intelligence research,2002

3. ADASYN: Adaptive synthetic sampling approach for imbalanced learning;He,2008

4. Example-dependent cost-sensitive logistic regression for credit scoring;Bahnsen,2014

5. Tackling class imbalance problem in software defect prediction through cluster-based over-sampling with filtering;Gong;IEEE Access,2019

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