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Process mining: software comparison, trends, and challenges:
Loyola-González, Octavio
International Journal of Data Science and Analytics. 15 (2022) 4 - p. 407-420 , 2022
Link:
https://doi.org/10.1007/s41060-022-00379-0
RT Journal T1 <Title>Process mining: software comparison, trends, and challenges</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s41060-022-00379-0&Exemplar=1&LAN=DE A1 Loyola-González, Octavio PB Springer Science and Business Media LLC YR 2022 SN 2364-415X SN 2364-4168 JF International Journal of Data Science and Analytics VO 15 IS 4 SP 407 OP 420 LK http://dx.doi.org/https://doi.org/10.1007/s41060-022-00379-0 DO https://doi.org/10.1007/s41060-022-00379-0 SF ELIB - SuUB Bremen
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