APPLICATION OF AUTO ENCODERS FOR ANALYSIS AND PREDICTION ONLINE FUNDS TRANSACTIONS USING MACHINE LEARNINGAUTO ENCODERS

Abstract

In recent years credit card fraud has become one of the growing problems. It is vital that credit card companies are able to identify fraudulent credit card transactions, so that customers are not charged for the items that they didn’t purchase. The reputation of companies will heavily damage and endangered among the customers due to fraud in financial transactions.The fraud detection techniques were increasing to improve accuracy to identify the fraudulent transactions. This project intends to build an unsupervised fraud detection method using auto encoder. An Auto encoder with four hidden layers which hasbeen trained and tested with a dataset containing an European cardholder transactions that occurred in two days with 284,807 transactions from