Debreceny, RS and Gray, GL (2010). Data mining journal entries for fraud detection: An exploratory study. International Journal of Accounting Information Systems, Vol. 11, No. 3, pp. 157–181.
This work is cited by the following items of the Benford Online Bibliography:
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Cella, RS and Zanolla, E (2018). Benford’s Law and transparency: an analysis of municipal expenditure. Brazilian Business Review, 15(4), pp. 331-347. DOI:10.15728/bbr.2018.15.4.2.
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Grabski, S (2010). Discussion of 'Data mining journal entries for fraud detection: An exploratory study'. International Journal of Accounting Information Systems, Vol. 11, No. 3, pp. 182–185. DOI:10.1016/j.accinf.2010.07.008.
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Karavardar, A (2014). Benford’s Law and an Analysis in Istanbul Stock Exchange (BIST). International Journal of Business and Management, 9(4), pp. 160-172. DOI:10.5539/ijbm.v9n4p160.
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Nigrini, MJ (2016). The Implications of the Similarity between Fraud Numbers and the Numbers in Financial Accounting Textbooks and Test Banks. Journal of Forensic Accounting Research, Vol. 1, No. 1, pp. A1-A26. DOI:10.2308/jfar-51465.
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Nigrini, MJ (2017). Audit Sampling Using Benford's Law: A Review of the Literature With Some New Perspectives. Journal of Emerging Technologies in Accounting Vol. 14, No. 2,
pp. 29–46. DOI:10.2308/jeta-51783.
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Nigrini, MJ (2019). The patterns of the numbers used in occupational fraud schemes. Managerial Auditing Journal 34(5), pp. 606--626. DOI:10.1108/MAJ-11-2017-1717.
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Sadaf, R (2016). Benford’s Law in the Case of Hungarian Whole-Sale Trade Sector. SEA – Practical Application of Science 12, pp. 561-566.
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Seow, P-S, Pan, G and Suwardy, T (2016). Data Mining Journal Entries for Fraud Detection: A Replication of Debreceny and Gray's (2010) Techniques. Journal of Forensic and Investigative Accounting 8(3), pp. 501-514.
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