Data search and discovery process for financial statement fraud

Abstract

Financial fraud in the form of significant public interest, media, investors, financial community and legislators to get oneself and for several large companies such as Enron fraud is known, Lucent and WorldCom have occurred in the past years. Fraudulent financial reporting in more than declarative through asset sales and profits and low self liabilities, costs and losses occur (Yue et al., 2007). Fraud, an important reason for the failure of many companies and particularly damaging to capital markets because investors, creditors and financial analysts in their decisions on the financial statements available to the public, they rely on and trust. Detect fraud in financial statements, it is difficult and complex issues discovered (Yue et al., 2007). The main objective of this paper is to provide an overview of data mining processes used to detect financial fraud, particularly fraud in the financial statements.

Keywords:Mining, fraud, financial statements, forecasting, regression, artificial neural networks