CREDIT CARD FRAUD ANOMALY DETECTION USING MACHINE LEARNING ALGORITHM









Abstract

Credit card is one of the most widely used payment systems which are used by more than 2 billion customers. It is quite useful for day-to-day life. It is essential for credit card companies to identify fraudulent credit card transactions so that customers aren't charged for items that they didn't purchase. Fraud can be committed in multiple ways and in various industries; Credit card frauds are easy targets. The credit card fraud anomaly detection goal is to detect the least accurate false fraud detection. It is difficult to analyze every transaction data among millions of them. This anomaly detection model is used for detecting fraudulent transactions by implementing an autoencoder model.


Modules


Algorithms


Software And Hardware