In today's business conditions, where business activities are spreading over a wide geographical area, fraud auditing processes have crucial importance especially for the retailing sector which has a high branch network. In the retailing sector, especially purchasing processes are subject to high fraud risks. This paper shows that it is possible to detect fraudulent processes by applying data mining techniques on operational data related to purchasing activities. Within this scope, in order to detect the fraudulent purchasing operations, support vector machine (SVM) models with different kernels and artificial neural networks methods have been used and successful results have been achieved. The results of the two methods have been examined comparatively and it shows that optimized SVM classifier outperforms others. Besides, in this study, it is presumed that the detected fraud data can be proactively used in the struggle against fraud with fraud-governance risk and compliance software by converting it into scenario analysis.

Today, accounting standards are designed to reflect the current market conditions. At the same time, primary aim of the changes in standards is to enable financial statement users to evaluate risk structures of financial statements easily. The shift from historical cost approach to fair value applications may be interpreted within this context. The differentiation in the approaches has the advantage of reflecting the economic substance better but it may also cause uncertainty and subjectivity in financial reporting. Because of these two factors, auditing risk of financial statements is increasing.After the Enron Scandal in 2001 and recent financial crisis in 2008, the probable adverse effects of accounting with fair value and auditing sensitivities are being discussed severely in the fair value literature (Laux and Leuz, 2009;Zhou and Ding, 2009;Veron, 2008; Enria, A., Capiello, L., Dierick, Grittini, S., Haralambous, A., Maddaloni, A., Molitor, P., Pires, F. and Poloni, P., 2004;Novoa, Scarlata and Sole, 2009; Gwilliam and Jackson,2008; Benston, 2008;Ronen, 2002). In many situations, auditing of fair value accounting and estimation of fair value in a verifiable and objective way becomes the core subject in this field. This paper aims to analyze possible problems related to the auditing of fair value and model a process design to prevent these problems. More specifically, it aims to develop a conceptual model with reference to a case study on auditing of investment properties.

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