期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：3
页码：22-28
DOI：10.14445/22312803/IJCTT-V68I3P105
出版社：Seventh Sense Research Group
摘要：In Today’s world, credit card is the most accepted payment mode for both online as well as offline, it provide cashless shopping at every shopping mall. It is the most convenient way to do online transaction. Therefore, risk of fraud credit card transaction has also been increasing. With the growing usage of credit card transactions, financial fraud crimes have also been drastically increased leading to the loss of huge amounts in the finance industry. Having an efficient fraud detection algorithm has become a necessity for all banks in order to minimize such losses. In fact, credit card fraud detection system involves a major challenge the credit card fraud data sets are highly imbalanced since the number of fraudulent transactions is much smaller than the legitimate ones. This paper aims at analysing various machine learning techniques using various metrics for judging various classifiers. This model aims at improving fraud detection rather than misclassifying a genuine transaction as fraud.
