文章基本信息

标题：Exploration of Data mining techniques in Fraud Detection: Credit Card
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作者：Khyati Choudhary ; Bhawna Mallick
期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：3
页码：1765-1771
出版社：Buldanshahr : IJECSE
摘要：Da ta mining has been increasing as one of the chief key features of many security initiatives. Often, used as a means for detection of fraud, assessing risk as well. Data mining involves the use of data analysis tools to discover unknown, valid patterns as well as relationships in large data sets. Decades have seen a massive growth in the use of credit cards as a transactional medium. Data mining become even more common in both the private and public sectors. Data mining has been used widely in industries such as Banking, Insurance, Medicine and Retailing to reduce costs, enhance Research and increase Sales. Credit cards are much safer from theft than is cash and also a promising area for buying and sales. Credit Cards are growing as a popular medium of transaction. Therefore, Fraud Detection involves monitoring the behavior of users/customers in order to estimate, detect or avoid undesirable behavior in future. In this paper, we investigated the factors and various techniques involved in credit card fraud detection during/after transaction as well
关键词：Data Mining; Credit Card. Fraud; Detection Tools