Fraud Analytics System for Credit Card Using Machine Learning
Abstract
This paper provides information on Credit Card Fraud Analysis with the help of some Machine Learning Techniques. The proposed system uses K-Means, Naïve-Bayes and SVM algorithm to detect fraud in credit card transaction. K-means is an algorithm used to solve clustering problem while Naïve-Bayes and SVM algorithm are used for detecting and classifying credit card transaction into fraudulent and non-fraudulent by matching the pattern of fraud as fraud usually has some past pattern associated with it. Result is compared with each other on the basis of fraudulent and not-fraudulent transaction, based on accuracy and shown in the visualization format.