COMPARING PERFORMANCES AND EFFECTIVENESS OF MACHINE LEARNING CLASSIFIERS IN DETECTING FINANCIAL ACCOUNTING FRAUD FOR TURKISH SMES

Comparing performances and effectiveness of machine learning classifiers in detecting financial accounting fraud for Turkish SMEs

Turkish small- and medium-sized enterprises (SMEs) are exposed to fraud risks and creditor Water Treatments banks are facing big challenges to deal with financial accounting fraud.This study explores effectiveness of machine learning classifiers in detecting financial accounting fraud assessing financial statements of 341 Turkish SMEs from 2013 to

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