CREDIT CARD FRAUD DETECTION STUDY USING DATA METHODS

Abstract

Data mining is the activity of extracting some useful knowledge from a large database using any of its methods. Due to a impetuous promotion in electronic commerce technology, in use from credit cards It has increased. As the credit card becomes the most popular payment method for both online and physical purchases, cases of credit card fraud are also on the rise. Data mining techniques can be used to detect credit card fraud. The main purpose of this article is to compare data mining methods such as simple K-means, hidden Markov model, Bayesian Net, KNN algorithm as well as ejection detection.