Credit Card Fraud Detection using Logistic Regression and Decision Tree
Shashank Goyal, Sourav Rawat, G. P. Poornimai Abirami · 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22) · 2022
Credit Card is used to make purchases such as AC, groceries, Television, gas, shopping and so on because of non-availability of money at that instance. Credit card have many features like points while using them for different types of transactions. Means of achieving money, services, goods and products by unauthorized means is said to be a fraud. Online fraud is basically the unauthorized use of an individual's personal and confidential information to buy products, services or to remove money from a user's account[1]. With e-commerce and cashless transactions increasing at a fast pace and with the world moving towards digitalization and cashless transactions the use of credit card has increased rapidly over the years and with that the number of frauds associated with credit card are also increasing[2]. The problem of credit card fraud threatens the credit card transactions. Fraud is an intentional deception with purpose of obtaining critical and confidential information for financial gain[3]. In fraud the confidential and private information of the user is disclosed which causes damage to the user. Fraud detection involves identifying fraud transactions among legitimate transactions as quickly as possible.