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Lu, F, Boritz, JE and Covvey, D (2006). Adaptive Fraud Detection Using Benford’s Law. Advances in Artificial Intelligence Lecture Notes in Computer Science Volume 4013, pp. 347-358.

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Costa, JI (2012). Desenvolvimento de metodologias contabilométricas aplicadas a auditoria contábil digital: uma proposta de análise da lei de Newcomb-Benford para os Tribunais de Contas. Thesis, Universidade Federal de Pernambuco, Recife, Brasil. POR View Complete Reference Online information Works that this work references Works that reference this work
Graham, SDJ, Hasseldine, J and Paton, D (2009). Statistical fraud detection in a commercial lobster fishery. New Zealand Journal of Marine and Freshwater Research Volume 43, Issue 1, pp. 457-463. DOI:10.1080/00288330909510014. View Complete Reference Online information Works that this work references Works that reference this work
Hein, J, Zobrist, R, Konrad, C and Schuepfer, G (2012). Scientific fraud in 20 falsified anesthesia papers : detection using financial auditing methods. Der Anaesthesist 61(6), pp. 543-9. DOI:10.1007/s00101-012-2029-x. View Complete Reference Online information Works that this work references Works that reference this work
Hüllemann, S , Schüpfer, G and Mauch, J (2017). Application of Benford's law: a valuable tool for detecting scientific papers with fabricated data?. Der Anaesthesist vol. 66(10), pp. 795--802 . DOI:10.1007/s00101-017-0333-1. View Complete Reference Online information Works that this work references Works that reference this work
Li, F, Han, S, Zhang, H, Ding, J, Zhang, J and Wu, J (2019). Application of Benford’s law in Data Analysis. Journal of Physics: Conference Series 1168, pp. 032133. DOI:10.1088/1742-6596/1168/3/032133. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Overhoff, G (2011). The Impact and Reality of Fraud Auditing - Benford's Law: Why and How To Use It. Course for 22nd Annual ACFE Fraud Conference and Exhibition. View Complete Reference Online information Works that this work references Works that reference this work
Park, JA, Kim, M and Yoon, S (2016). Evaluation of Large-scale Data to Detect Irregularity in Payment for Medical Services. Methods of Information in Medicine 55(03), pp. 284-291. DOI:10.3414/ME15-01-0076. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Schüpfer, G, Hein, J, Casutt, M, Steiner, L and Konrad, C (2012). Vom Finanz- sum Wissenschaftsbetrug [From financial to scientific fraud : methods to detect discrepancies in the medical literature]. Der Anaesthesist 61(6):537-42. ISSN/ISBN:0003-2417. DOI:10.1007/s00101-012-2028-y. GER View Complete Reference Online information Works that this work references Works that reference this work