A New GAN-based data augmentation method for Handling Class Imbalance in Credit Card Fraud detection
Author:
Affiliation:
1. Bournemouth University,Department of Creative Technology,Bournemouth,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115458/10115464/10116543.pdf?arnumber=10116543
Reference39 articles.
1. One-step spectral rotation clustering for imbalanced high-dimensional data
2. Fraud detection in credit card transaction using machine learning techniques
3. GEP-based classifier for mining imbalanced data
4. An optional splitting extraction based gain-AUPRC balanced strategy in federated XGBoost for mitigating imbalanced credit card fraud detection
5. Neighbourhood-based undersampling approach for handling imbalanced and overlapped data
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