CREDIT CARD FRAUD DETECTION USING ENSEMBLE MACHINE LEARNING METHODS
The study results show that ensemble techniques enhance the detection of fraudulent credit card transactions significantly and the proposed framework included data preprocessing and imbalanced data handling using SMOTE produced good results in terms of classification performance and reliable detections.