期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2013
卷号：5
期号：07
页码：653-659
出版社：Engg Journals Publications
摘要：In any organization, fraud detection and prevention is daunting task because millions of dollars lost with the different nature of fraudulent activities. Organizations got to engage intelligent and innovative techniques to detect fraud at the earliest opportunity to protect business and their shareholders, customers and employees. This paper surveyed different fraud detection research articles from the year 2004 to 2012 based on data mining techniques. This research work used to analyze the different affected business areas which discusses the data mining algorithms by higher fraud coverage. It also highlights the important challenges and limitations involved with the data mining techniques for detecting fraudulent activities.
关键词：Business Areas; Classification; Clustering; Data mining; Fraud Detection.
