Article1997

Assessing the Risk of Management Fraud Through Neural Network Technology.

244 citations0/0 files storedAuditing A Journal of Practice & Theory

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Auditing, Earnings Management, Governance Financial Distress and Bankruptcy Prediction Benford’s Law and Fraud Detection

Abstract

Abstract Develops an effective neural networks (NN) fraud classification model employing endogenous financial data. How financial errors and irregularities in financial statements are detected; Neural networks described; Methodology used in NN model development study; Results and implications of the study.

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2002Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques 2003A fuzzy neural network for assessing the risk of fraudulent financial reporting 2016Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction 2011A business process mining application for internal transaction fraud mitigation 2004Bankruptcy theory development and classification via genetic programming 2002A roadmap for future neural networks research in auditing and risk assessment 2016Fraud detection using fraud triangle risk factors 2016Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning

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