Analysis on Credit Card Fraud Detection and Prevention using Data Mining and Machine Learning Techniques

Abstract

In the recent era, everybody are dealing with the digital data. In such scenario individual one heavily depend on credit card. Therefore, the demand of online transactions and usage of e-commerce sites are rising at the rapid rate. The online payments are the main cause of increasing crime rate heavily. Hence, it is the huge challenge for banks and IT professional to identify and resolve such a critical problems. This critical issue can be tackle with the help of machine learning. This articles mainly emphasis on various data mining algorithms such as like C4.5, CART algorithms, J48, Naïve Bayes algorithm, EM algorithm, Apriori algorithm, SVM and so on and also inform the accuracy and precision of the result. The machine learning finds the genuine and non-genuine transition using learning pattern matching and classification technique. The machine learning also normalized the data, identify the anomalies in transaction and provide appropriate results.