USING STATISTICAL TECHNIQUES FOR ANOMALY DETECTION IN CREDIT CARD HOLDER’S TRANSACTION

Abstract

ABSTRACT -  The greater part of the before research in inconsistency identification (Anomaly detection) has concentrated on finding irregular changes. The Credit card holder's behaviors are taken as traits and the bizarre exchanges are found by the spending profile of the client. The exchanges that are viewed as irregular or strange are then sent to the abuse identification framework. The main function of anomaly detection is to identify the fraud and to classify the fraud.