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Audit opinion prediction : a comparison of data mining techniques
Saeedi, Ali - In: Journal of emerging technologies in Accounting 18 (2021) 2, pp. 125-147
Persistent link: https://www.econbiz.de/10013162128
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Automated clustering for data analytics
Byrnes, Paul E. - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 43-58
Persistent link: https://www.econbiz.de/10012416672
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Identifying qualified auditors' opinions: a data mining approach
Kirkos, Efstathios; Spathis, Charalambos; Nanopoulos, … - In: Journal of emerging technologies in Accounting 4 (2007), pp. 183-197
Persistent link: https://www.econbiz.de/10003813758
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The forthcoming data ecosystem for business measurement and assurance
Cho, Soohyun; Vasarhelyi, Miklos A.; Zhang, Chanyuan - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 1-21
Persistent link: https://www.econbiz.de/10012416666
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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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Application of time series analyses in big data : practical, research, and education implications
Rezaee, Zabihollah; Dorestani, Alireza; Aliabadi, Sara - In: Journal of emerging technologies in Accounting 15 (2018) 1, pp. 183-197
Persistent link: https://www.econbiz.de/10012419028
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Development of an intelligent NLP-based audit plan knowledge discovery system
Li, Qiao; Liu, Junming - In: Journal of emerging technologies in Accounting 17 (2020) 1, pp. 89-97
Persistent link: https://www.econbiz.de/10012419609
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Big Data and audit evidence
Brown-Liburd, Helen; Vasarhelyi, Miklos A. - In: Journal of emerging technologies in Accounting 12 (2015), pp. 1-16
Persistent link: https://www.econbiz.de/10011846483
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Securing Big Data provenance for auditors: the Big Data provenance Black Box as reliable evidence
Appelbaum, Deniz - In: Journal of emerging technologies in Accounting 13 (2016) 1, pp. 17-36
Persistent link: https://www.econbiz.de/10011846548
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Text mining to uncover the intensity of SEC comment letters and its association with the probability of 10-K restatement
Liu, Yue; Moffitt, Kevin C. - In: Journal of emerging technologies in Accounting 13 (2016) 1, pp. 85-94
Persistent link: https://www.econbiz.de/10011846576