Development in machine learning application for credit card fraud detection in electronic business

SUMMARY

In this study, a Machine Learning application was developed to detect credit fraud transactions in electronic business. The application was trained to recognize the user’s details and the pattern of previous credit card transaction that has taken place over the years. After training, the system will be able to recognize and classify transactions as genuine or fraudulent transactions. Although fraudsters can gain access to a user’s credit card information, a transaction with such stolen information may not gain the necessary approval of such details is not consistent with previous transactions.