Review on Credit Card Fraud Detection System using Machine Learning
Authors : Dr. (Mrs.) Snehal S. Golait , Ruthwick S. Masidkar , Kunal S. Khobragade, Prerna S. Bhanarkar ,Purva Ganeshkar , Prishita Ganeshkar
DOI : 10.46335/IJIES.2023.8.1.5
Abstract – This review paper is discussing the use of machine learning in detecting cred-it card fraud. With the increasing number of online transactions, it is becoming more important to have accurate systems in place to identify fraudulent activity. The authors are proposing the use of machine learning algorithms to analyze and pre-process data sets in order to accurately detect fraudulent credit card transactions. The objective is to identify 100% of fraudulent transactions while minimizing false positive fraud classifications. The paper focuses on using machine learning techniques on transformed credit card transaction data to achieve this goal.
