financial fraud ,Audit risks ,inherent risk ,Detection risk,  Data Mining .

	financial fraud ,Audit risks ,inherent risk ,Detection risk, Data Mining .
journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 22, Issue 88, 2016, Pages 447-471
Abstract
The study seeks to use one of the techniques (Data mining) a (Logic regression) on the inherited risk through the use of style financial ratios technical analysis and then apply for financial fraud indicators,Since higher scandals exposed companies and the failure of the audit process has shocked the community and affected the integrity of the auditor and the reason is financial fraud practiced by the companies and not to the discovery of the fraud by the auditor, and this fraud involves intentional act aimed to achieve personal and harm the interests of to others, and doing (administration, staff) we can say that all frauds carried out through the presence of the motives and factors that help the fraudster to commit and these factors are (the opportunity, motivation, justification, ability) and often scammers with experience in concealing the fraud and the reason for this is weak internal control economic system of the unit, and that the process of detection of financial fraud is done through the availability of indications that. The research has come to the most important conclusions: 1- The process of identifying and evaluating audit is important for the auditor's risk when planning the audit process or when determining what audit procedures for these risks is important and essential role in the process of making mistakes and fraud. 2- Although the fraudulent can concealing fraud, but he could be detected through the use of a set of techniques that can provide indications about the whereabouts. The most important recommendations: 1- The need to develop and train Audit stuff and to introduce definition fraud, causes, forms in order to put the investigation of fraud strategy. 2- The researchers recommend examining the causes of financial fraud in the case discovered in its various forms is possible to lead the auditor to determine the features of the person who carried out the fraud. The researchers recommend using one of the techniques (Data Mining), a Logic Regression for test and Analyes financial ratios for the inherited risk that OBTAINED from banks' financial statements to determine the financial fraud within the existing indicators variables such ratios.
Keywords
financial fraud; Audit risks; inherent risk; Detection risk; Data Mining

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