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Feasibility analysis of machine learning for performance-re..:
Berkin, Anil
;
Aerts, Walter
;
Van Caneghem, Tom
International Journal of Accounting Information Systems. 48 (2023) - p. 100597 , 2023
Link:
https://doi.org/10.1016/j.accinf.2022.100597
RT Journal T1 <Title>Feasibility analysis of machine learning for performance-related attributional statements</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.accinf.2022.100597&Exemplar=1&LAN=DE A1 Berkin, Anil A1 Aerts, Walter A1 Van Caneghem, Tom PB Elsevier BV YR 2023 SN 1467-0895 JF International Journal of Accounting Information Systems VO 48 SP 100597 LK http://dx.doi.org/https://doi.org/10.1016/j.accinf.2022.100597 DO https://doi.org/10.1016/j.accinf.2022.100597 SF ELIB - SuUB Bremen
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