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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Mohammed Tayebi, Said El Kafhali
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	KeAi Communications Co., Ltd. 2025-12-01
سلاسل:	Cyber Security and Applications
الموضوعات:	XGBoost algorithm Hyperparameters optimization Bayesian optimization Fraud detection Credit card transactions Cross-validation
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2772918425000104
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!