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Mining Recency–Frequency–Monetary enriched insights into re..:
Jooken, Leen
;
Depaire, Benoît
;
Jans, Mieke
Engineering Applications of Artificial Intelligence. 126 (2023) - p. 106765 , 2023
Link:
https://doi.org/10.1016/j.engappai.2023.106765
RT Journal T1 <Title>Mining Recency–Frequency–Monetary enriched insights into resources' collaboration behavior from event data</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.106765&Exemplar=1&LAN=DE A1 Jooken, Leen A1 Depaire, Benoît A1 Jans, Mieke PB Elsevier BV YR 2023 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 126 SP 106765 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.106765 DO https://doi.org/10.1016/j.engappai.2023.106765 SF ELIB - SuUB Bremen
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