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This work is cited by the following items of the Benford Online Bibliography:
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Balcıoğlu, YS, Merter, AK, Cerez, S and Özer, G (2024). Analysis of Annual Reports of Firms Listed on Borsa Istanbul Using Benford’s Law. In: Ozatac, N., Taspinar, N., Rustamov, B. (eds) Sustainable Development in Banking and Finance. ICBFP 2023. Springer Proceedings in Business and Economics. Springer, Cham.. DOI:10.1007/978-3-031-65533-3_7.
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Gepp, A, Kumar, K and Bhattacharya, S (2023). Taking the hunch out of the crunch: A framework to
improve variable selection in models to detect financial statement fraud. Accounting & Finance 2023, pp.1–20.. DOI:10.1111/acfi.13192 .
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Shahana, T, Lavanya, V and Bhat, AR (2023). State of the art in financial statement fraud detection: A systematic review. Technological Forecasting and Social Change 192, p. 122527
. DOI:10.1016/j.techfore.2023.122527.
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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. DOI:10.14716/ijtech.v14i8.6830.
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