Risk assessment in internal auditing: a neural network approach
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DOI: 10.1002/(SICI)1099-1174(199909)8:33.0.CO;2-W
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References listed on IDEAS
- P. (Sundar) Balakrishnan & Martha Cooper & Varghese Jacob & Phillip Lewis, 1994. "A study of the classification capabilities of neural networks using unsupervised learning: A comparison withK-means clustering," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 509-525, December.
- Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
- Kurt M. Fanning & Kenneth O. Cogger, 1998. "Neural network detection of management fraud using published financial data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(1), pages 21-41, March.
- Kurt Fanning & Kenneth O. Cogger & Rajendra Srivastava, 1995. "Detection of Management Fraud: A Neural Network Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(2), pages 113-126, June.
- In Jae Myung & Sridhar Ramamoorti & Andrew D. Bailey, Jr., 1996. "Maximum Entropy Aggregation of Expert Predictions," Management Science, INFORMS, vol. 42(10), pages 1420-1436, October.
- Libby, R, 1985. "Availability And The Generation Of Hypotheses In Analytical Review," Journal of Accounting Research, Wiley Blackwell, vol. 23(2), pages 648-667.
- Hackenbrack, K, 1992. "Implications Of Seemingly Irrelevant Evidence In Audit Judgment," Journal of Accounting Research, Wiley Blackwell, vol. 30(1), pages 126-136.
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Cited by:
- Chrysovalantis Gaganis, 2009. "Classification techniques for the identification of falsified financial statements: a comparative analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(3), pages 207-229, July.
- 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, John Wiley & Sons, Ltd., vol. 14(3), pages 77-86, July.
- Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.
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