期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2012
卷号：1
期号：4
出版社：IJCSN publisher
摘要：With the rise and swift growth of E-Commerce, credit card usesfor online purchases has increased dramatically and it causedsudden outbreak in the credit card fraud. Fraud is one of themajor ethical issues in the credit card industry. With both onlineas well as regular purchase, credit card becomes the most popularmode of payment with cases of fraud associated with it are alsoincreasing. A clear framework on all these approaches willcertainly lead to an efficient credit card fraud detection system.Currently, for simplicity reasons, all the base learners for creditcard fraud detection use the same desired distribution. It would beinteresting to implement and evaluate the credit card frauddetection system by using very large databases with skewed classdistributions and non-uniform cost per error. This paper presentsa analysis of cost incurred in credit card fraud detection on dataset.
