Review on Credit Card Fraud Detection Techniques
Purnima Soni, Manoj Kumar · 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT) · 2022
Online transactions have taken the world by storm in today’s society and credit cards stand one of the maximum used expense methods. Because of this popularity, fraud has arisen in this field, which is called credit card fraud. Credit card fraud has become a worldwide concern. This research work examines the identification of credit card fraud techniques. Different machine learning, data mining, as well as neural network techniques have been reviewed and compared in the domain of fraud detection system. The review found that hybrid techniques like olightGBM, SA-ANN and many more that were used in literature performed well. The comparative analysis also listed the evaluation matrices and ways which researchers used to balance the dataset and improve their performance.