Author Description

At the current state of the world, financial organizations expand the availability of financial facilities by employing of innovative services such as credit cards, Automated Teller Machines (ATM), internet and mobile banking services. Besides, along with the rapid advances of e-commerce, the use of credit card has become a convenience and necessary part of financial life. Credit card is a payment card supplied to customers as a system of payment. Nowadays, the Credit card usage is increasing day by day for both regular purchases as well as online. In every transaction of credit card, the bank should check the fraud detection. Year after year, the damages inflicted by the credit card fraud problem are growing rapidly. The intention behind these kinds of fraudulence may be obtaining goods without paying, or unauthorized funds from an account. This book is providing an approach for the credit card fraud detection using machine learning. Logistic regression, anomaly detection, and stochastic gradient descent techniques are used in this approach.