A Study on Financial Frauds In Organizations
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Keywords:
data mining, financial frauds, organizations, unknown patterns, future trends, behaviors, financial markets, competitive advantage, trading models, investment selection, loan assessment, portfolio optimization, fraud detection, bankruptcy prediction, real-estate assessmentAbstract
Data mining is able to uncover unknown patterns andpredict future trends and behaviors in financial markets. It createsopportunities for companies to make proactive and knowledge-driven decisions inorder to gain a competitive advantage. Data mining has been applied to a numberof financial applications, including development of trading models, investmentselection, loan assessment, portfolio optimization, fraud detection, bankruptcyprediction, real-estate assessment, and so on. The competitive advantagesachieved by data mining include increased revenue, reduced cost, and muchimproved marketplace responsiveness and awareness.Published
2014-04-01
How to Cite
[1]
“A Study on Financial Frauds In Organizations: -”, JASRAE, vol. 7, no. 14, pp. 0–0, Apr. 2014, Accessed: Aug. 03, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/5209
Issue
Section
Articles
How to Cite
[1]
“A Study on Financial Frauds In Organizations: -”, JASRAE, vol. 7, no. 14, pp. 0–0, Apr. 2014, Accessed: Aug. 03, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/5209