Gorenc, M (2024). Artificial Intelligence and Benford Law as Useful Tools for Detecting Accounting Fraud . Proceedings of Artificial Intelligence for Human-Technologies- Economy Sustainable Development, 23-25 May 2024, Lublin, Poland; pp. 451-460.
This work cites the following items of the Benford Online Bibliography:
Asllani, A and Naco, M (2014). Using Benford’s Law for Fraud Detection in Accounting Practices. Journal of Social Science Studies 2(1), pp. 129-143. DOI:10.5296/jsss.v2i1.6395.
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Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34.
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Günnel, S and Tödter, K-H (2009). Does Benford's law hold in economic research and forecasting?. Empirica 36, pp. 273-292. DOI:10.1007/s10663-008-9084-1.
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Moore, GB and Benjamin, CO (2004). Using Benford's Law for fraud detection. Internal Auditing 19(1), pp. 4-9.
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Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094.
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Özer, G and Babacan, B (2013). Benford's Law and Digital Analysis: Application on Turkish Banking Sector. Business & Economics Research Journal Vol. 4 Issue 1, pp. 29-41. ISSN/ISBN:1309-2448.
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Ramaswamy, V and Leavins, J (2007). Continuous auditing, digital analysis and Benford's law. Journal of Internal Auditing 22(4), pp. 25-31
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Tolle, CR, Budzien, JL and LaViolette, RA (2000). Do dynamical systems follow Benford's law?. Chaos, 10(2), 331-336. ISSN/ISBN:1054-1500. DOI:10.1063/1.166498.
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