<span lang="EN-US">Now days, the analysis of behavior cardholders is one important fields in electronic payment. This kind helps to extract behavioral and transaction profile patterns that can help financial systems better protect their customers. In this paper, we propose an intelligent machine learning (ML) system for rules generation. It based on a hybrid approach using rough set theor...

The increase in the volume and velocity of credit card transactions causes class imbalance concept deviation problems data sets where fraud is detected. These make it very difficult for traditional approaches to produce robust detection models. In this study, a different perspective has been developed problem novel approach named Fraud Detection with Image Conversion (FDIC) proposed. FDIC handl...

Credit card fraud jeopardizes the trust of customers in e-commerce transactions. This led recent years to major advances design automatic Fraud Detection Systems (FDS) able detect fraudulent transactions with short reaction time and high precision. Nevertheless, heterogeneous nature behavior makes it difficult tailor existing systems different contexts (e.g. new payment systems, countries and/o...