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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Principais autores:	Mohammed Tayebi, Said El Kafhali
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2025-12-01
coleção:	Cyber Security and Applications
Assuntos:	XGBoost algorithm Hyperparameters optimization Bayesian optimization Fraud detection Credit card transactions Cross-validation
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772918425000104
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