Analysis of Credit Card Fraud Detection using Machine Learning Techniques
C.H Sumanth, Pokala Pavan Kalyan, Bolisetti Ravi, S. Balasubramani
Abstract
This project primarily concentrates on detecting credit card scam in reality. Credit card scam is on increase as debit cards have become the preferred means of payment both for offline and online transactions. E-commerce has skyrocketed because of the increased usage of credit cards for online transactions that has also led to a quick rise of credit card scams recently. For training dataset, credit card datasets are collected. The user is then given credit card inquiries to test the dataset. After analyzing a prior dataset, a deep neural network technique is used to classify user's current dataset, which has been provided. Undoubtedly, a very efficient credit card scam detecting system has been achieved wherein strategies such as, Support Vector Machine (SVM), Deep Neural Network techniques, and Naive Bayes are all used in this research.