Fraud Detection using ACO and Fuzzy SVM
V. Dheepa · Indian Science Cruiser · 2018
The advent of e-commerce has initiated a new issue. It deals with the security while performing the money transactions. One of the main problems that persuades in the issue of online transactions is the credit card frauds. To solve this problem, behaviour based clustering using ant colony optimization (ACO) and Fuzzy support vector machine (SVM) is employed in this work. It is a hybrid approach, combining the supervised and unsupervised methods. It acquires the benefits of both the methods.