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...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Mohammed Tayebi, Said El Kafhali
Format:	Artigo
Język:	Inglês
Wydane:	KeAi Communications Co., Ltd. 2025-12-01
Seria:	Cyber Security and Applications
Hasła przedmiotowe:	XGBoost algorithm Hyperparameters optimization Bayesian optimization Fraud detection Credit card transactions Cross-validation
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S2772918425000104
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!