A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection

Nowadays, detecting fraudulent transactions has become increasingly important due to the rise of online businesses and the increasing use of sophisticated techniques by fraudsters to make fraudulent transactions appear similar to genuine ones. Researchers have explored a lot of machine learning clas...

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Bibliographic Details

Published in:	Cyber Security and Applications
Main Authors:	Mohammed Tayebi, Said El Kafhali
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-12-01
Subjects:	XGBoost algorithm Hyperparameters optimization Bayesian optimization Fraud detection Credit card transactions Cross-validation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772918425000104