Financial fraud: Data mining application and detection

被引：0
|
作者：
Aziz, N. H. A. [1 ,2 ]
Zakaria, N. B. [1 ,2 ]
Mohamed, I. S. [1 ,2 ]
机构：
[1] Univ Teknol MARA, Accounting Res Inst, Segamat Campus, Shah Alam, Malaysia
[2] Univ Teknol MARA, Fac Accountancy, Shah Alam, Malaysia
来源：
RECENT TRENDS IN SOCIAL AND BEHAVIOUR SCIENCES | 2014年
关键词：
PREVENTION;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
This paper reviews the data mining application and detection on financial fraud. This study also discuss the fundamental idea of financial fraud and the application of data mining in financial fraud detection. Moreover this study also provides a deep understanding on the merits and drawbacks of the data mining application in detecting financial fraud. The sources of data collected include documents and text specifically from journals, authors review and a comparison analysis on merits and drawbacks of data mining. Data mining is proven to be reliable with high accuracy. Nonetheless the issues of privacy and security are the two main concerns in data mining application.
引用
收藏
页码：341 / 344
页数：4
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