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Fernandes, P and Antunes, M (2023). Benford’s law applied to digital forensic analysis. Forensic Science International: Digital Investigation 45, p. 301515.

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Antunes, AM, Teixeira, D and Sousa, F (2023). Benford’s Law: the fraud detection’s left hand. Proceedings of 18th Iberian Conference on Information Systems and Technologies (CISTI), Aveiro, Portugal, pp. 1-6. DOI:10.23919/CISTI58278.2023.10211738. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Dorić, I, Ranisavljević, M and Kocka, Đ (2024). Benford's law: Planning and analysis of the planned values in the defense budget. Trendovi u poslovanju, 12(1), pp. 39-47. DOI:10.5937/trendpos2401039D. BOS View Complete Reference Online information Works that this work references Works that reference this work
Parreño, SJE (2024). Epidemiological anomaly detection in Philippine public health surveillance data through Newcomb-Benford analysis. Journal of Public Health 46(3), pp. e483–e493 . DOI:10.1093/pubmed/fdae062. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. DOI:10.14716/ijtech.v14i8.6830. View Complete Reference Online information Works that this work references No Bibliography works reference this work