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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Autors principals:	Mohammed Tayebi, Said El Kafhali
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co., Ltd. 2025-12-01
Col·lecció:	Cyber Security and Applications
Matèries:	XGBoost algorithm Hyperparameters optimization Bayesian optimization Fraud detection Credit card transactions Cross-validation
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772918425000104
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