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Journal of the Operational Research Society Volume 51, 2000 - Issue 9
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Case-oriented Paper

Artificial neural network models for predicting patterns in auditing monthly balances

E KoskivaaraTurku Centre for Computer Science and Turku School of Economics and Business AdministrationTurkuFinlandCorrespondence[email protected]
Pages 1060-1069 | Received 01 Dec 1998, Accepted 01 May 2000, Published online: 21 Dec 2017

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R Setiono, S-L Pan, M-H Hsieh & A Azcarraga. (2006) Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception. Journal of the Operational Research Society 57:3, pages 231-240.
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Articles from other publishers (14)

Stewart Li, Richard Fisher & Michael Falta. (2020) The effectiveness of artificial neural networks applied to analytical procedures using high level data: a simulation analysis. Meditari Accountancy Research 29:6, pages 1425-1450.
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Valentyna Panasyuk. (2021) THE DOMESTIC AUDIT DIGITALIZATION: TRENDS AND PROSPECTS. Market Infrastructure:52.
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Normah Omar, Zulaikha ‘Amirah Johari & Malcolm Smith. (2017) Predicting fraudulent financial reporting using artificial neural network. Journal of Financial Crime 24:2, pages 362-387.
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Farzaneh A. Amani & Adam M. Fadlalla. (2017) Data mining applications in accounting: A review of the literature and organizing framework. International Journal of Accounting Information Systems 24, pages 32-58.
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Michal Tkáč & Robert Verner. (2016) Artificial neural networks in business: Two decades of research. Applied Soft Computing 38, pages 788-804.
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Chin-Shien Lin, Haider A. Khan, Ruei-Yuan Chang & Ying-Chieh Wang. (2008) A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?. Journal of International Money and Finance 27:7, pages 1098-1121.
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Arnulfo P. Azcarraga, Ming-Huei Hsieh & Rudy Setiono. (2008) Market research applications of artificial neural networks. Market research applications of artificial neural networks.
Eija Koskivaara & Barbro Back. (2007) Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data. Journal of Emerging Technologies in Accounting 4:1, pages 29-45.
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Carol E. Brown, Jeffrey A. Wong & Amelia A. Baldwin. (2007) A Review and Analysis of the Existing Research Streams in Continuous Auditing. Journal of Emerging Technologies in Accounting 4:1, pages 1-28.
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Adriano L.I. Oliveira & Silvio R.L. Meira. (2006) Detecting novelties in time series through neural networks forecasting with robust confidence intervals. Neurocomputing 70:1-3, pages 79-92.
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Amelia A. Baldwin, Carol E. Brown & Brad S. Trinkle. (2006) Opportunities for artificial intelligence development in the accounting domain: the case for auditing. Intelligent Systems in Accounting, Finance and Management 14:3, pages 77-86.
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Eija Koskivaara. (2004) Artificial neural networks in analytical review procedures. Managerial Auditing Journal 19:2, pages 191-223.
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A.L.I. Oliveira, F.B.L. Neto & S.R.L. Meira. (2004) Improving novelty detection in short time series through RBF-DDA parameter adjustment. Improving novelty detection in short time series through RBF-DDA parameter adjustment.
A. L. I. Oliveira, F. B. L. Neto & S. R. L. Meira. 2004. MICAI 2004: Advances in Artificial Intelligence. MICAI 2004: Advances in Artificial Intelligence 844 853 .

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