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Internal fraud risk reduction: results of a data mining case study
Jans, Mieke; Lybaert, Nadine; Van Hoof, Koen - In: International journal of accounting information systems 11 (2010) 1, pp. 17-41
Persistent link: https://www.econbiz.de/10003963110
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Auditor choices during event log building for process mining
Jans, Mieke - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 59-67
Persistent link: https://www.econbiz.de/10012416673
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A field study on the use of process mining of event logs as an analytical procedure in auditing
Jans, Mieke; Alles, Michael G.; Vasarhelyi, Miklos A. - In: The accounting review : a publication of the American … 89 (2014) 5, pp. 1751-1773
Persistent link: https://www.econbiz.de/10010428720
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How active learning and process mining can act as Continuous Auditing catalyst
Jans, Mieke; Hosseinpour, Marzie - In: International journal of accounting information systems 32 (2019), pp. 44-58
Persistent link: https://www.econbiz.de/10012038436
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A five-level framework for research on process mining
Vom Brocke, Jan; Jans, Mieke; Mendling, Jan; Reijers, … - In: Business & information systems engineering 63 (2021) 5, pp. 483-490
Persistent link: https://www.econbiz.de/10012650876
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The application of text mining in accounting
Senave, Elseline; Jans, Mieke; Srivastava, Rajendra P. - In: International journal of accounting information systems 50 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014459424