Dataset Shift Quantification for Credit Card Fraud Detection
Dataset Shift Quantification for Credit Card Fraud Detection
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However purchase behaviour and fraudster strategies may change over time. This phenomenon is named dataset shift or concept drift in the domain of fraud detection. In this paper, we present a method to …