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A Data Mining Framework for Prevention and Detection of Financial Statement Fraud

by Rajan Gupta, Nasib Singh Gill and
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 8
Year of Publication: 2012
Authors: Rajan Gupta, Nasib Singh Gill and
10.5120/7789-0889

Rajan Gupta, Nasib Singh Gill and . A Data Mining Framework for Prevention and Detection of Financial Statement Fraud. International Journal of Computer Applications. 50, 8 ( July 2012), 7-14. DOI=10.5120/7789-0889

@article{ 10.5120/7789-0889,
author = { Rajan Gupta, Nasib Singh Gill and },
title = { A Data Mining Framework for Prevention and Detection of Financial Statement Fraud },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 8 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number8/7789-0889/ },
doi = { 10.5120/7789-0889 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:44.862698+05:30
%A Rajan Gupta
%A Nasib Singh Gill and
%T A Data Mining Framework for Prevention and Detection of Financial Statement Fraud
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 8
%P 7-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Financial statement fraud has reached the epidemic proportion globally. Recently, financial statement fraud has dominated the corporate news causing debacle at number of companies worldwide. In the wake of failure of many organisations, there is a dire need of prevention and detection of financial statement fraud. Prevention of financial statement fraud is a measure to stop its occurrence initially whereas detection means the identification of such fraud as soon as possible. Fraud detection is required only if prevention has failed. Therefore, a continuous fraud detection mechanism should be in place because management may be unaware about the failure of prevention mechanism. In this paper we propose a data mining framework for prevention and detection of financial statement fraud.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining predictive data mining descriptive data mining fraud risk reduction

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