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Sushkov, VM, Leonov, PY, Nadezhina, OS and Blagova, IY (2023). Integrating Data Mining Techniques for Fraud Detection in Financial Control Processes. International Journal of Technology 14(8), pp. 1675-1684.

This work cites the following items of the Benford Online Bibliography:

Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. View Complete Reference Online information Works that this work references Works that reference this work
Bhattacharya, S, Xu, D and Kumar, K (2010). An ANN-based auditor decision support system using Benford's Law. Decision support systems, 50 (3), pp. 576-584. View Complete Reference Online information Works that this work references Works that reference this work
Bhosale, S and Di Troia, F (2022). Twitter Bots’ Detection with Benford’s Law and Machine Learning. In Proceedings of Silicon Valley Cybersecurity Conference. SVCC 2022. Communications in Computer and Information Science, vol 1683, Bathen, L., Saldamli, G., Sun, X., Austin, T.H., Nelson, A.J. (eds). Springer, Cham. DOI:10.1007/978-3-031-24049-2_3. View Complete Reference No online information available Works that this work references Works that reference this work
Ergin, E and Erturan, IE (2020). Is Benford’s Law Effective in Fraud Detection for Expense Cycle? . Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 42(2), pp. 316–326. DOI:10.14780.muiibd.854444. View Complete Reference Online information Works that this work references Works that reference this work
Fernandes, P and Antunes, M (2023). Benford’s law applied to digital forensic analysis. Forensic Science International: Digital Investigation 45, p. 301515. DOI:10.1016/J.FSIDI.2023.301515. View Complete Reference Online information Works that this work references Works that reference this work
Garcia, PMC (2021). Aplicabilidad de la Ley de Benford a la detección de fraudes [Applicability of Benford's law to fraud detection]. Universidad y Sociedad 13(4), pp.461-467. SPA View Complete Reference Online information Works that this work references Works that reference this work
Leonov, PY, Suyts, VP, Norkina, AN and Sushkov, VM (2022). Integrated application of Benford's Law tests to detect corporate fraud. Procedia Computer Science 213, pp. 332-337. ISSN/ISBN:1877-0509. DOI:https://doi.org/10.1016/j.procs.2022.11.075. View Complete Reference Online information Works that this work references Works that reference this work
Leonov, PY, Suyts, VP, Rychkov, VA, Ezhova, AA, Sushkov, VM and Kuznetsova, NV (2021). Possibility of Benford’s Law Application for Diagnosing Inaccuracy of Financial Statements. In: Klimov, V.V., Kelley, D.J. (eds) Biologically Inspired Cognitive Architectures 2021. BICA 2021. Studies in Computational Intelligence, vol 1032. Springer, Cham., pp. 243-248. ISSN/ISBN:978-3-030-96993-6. DOI:10.1007/978-3-030-96993-6_24. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Pupokusumo, AW, Handoko, BL, Willy, Ricky and Hendra, S (2022). Benford’s Law as a Tool in Detecting Financial Statement Fraud. Journal of Theoretical and Applied Information Technology 100(14), pp. 5300-5305 . View Complete Reference Online information Works that this work references Works that reference this work
Rad, M, Amiri, A, Ranjbar, MH and Salari, H (2021). Predictability of financial statements fraud-risk using Benford’s Law. Cogent Economics & Finance 9(1), p. 1889756 . DOI:10.1080/23322039.2021.1889756. View Complete Reference Online information Works that this work references Works that reference this work