Detection of fraud risks in retailing sector using MLP and SVM techniques

 

Author :  Davut PEHLİVANLI

Affiliation :  Department of Business Administration, Faculty of Political Sciences, İstanbul University, İstanbul

Category :  Electrical Engineering

Volume, Issue, Month, Year :  27, 5, November, 2019

Abstract :

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

Keyword :  Retail sector, risk management, purchase fraud, governance risk and compliance

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