FRAUD DETECTION BY PROFILING AGGREGATE CUSTOMER ANONYMOUS BEHAVIOR

Computer implementation methods of processing transactions to determine the fraud risk of transactions incorporating card issuer bin and cardholder location associated with a multitude of customers. The artificial intelligence models developed with such information provide an output of likelihood of fraud for payment card transactions. Disclosed are the methods of utilizing aggregated payment card transaction data at the card issuer bin and card holder location level to improve fraud detection. The implementation of the method is demonstrated to have boosted the performance of the developed models in detection of fraudulent payment cards.