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Measuring the Stability of Process Outcome Predictions in O..:
, In:
2023 5th International Conference on Process Mining (ICPM)
,
Lee, Suhwan
;
Comuzzi, Marco
;
Lu, Xixi
. - p. 105-112 , 2023
Link:
https://doi.org/10.1109/ICPM60904.2023.10271960
RT T1 <cTitle>2023 5th International Conference on Process Mining (ICPM)</cTitle>: T1 <Title>Measuring the Stability of Process Outcome Predictions in Online Settings</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10271960&Exemplar=1&LAN=DE A1 Lee, Suhwan A1 Comuzzi, Marco A1 Lu, Xixi A1 Reijers, Hajo A. YR 2023 K1 Process monitoring K1 Performance evaluation K1 Decision making K1 Predictive models K1 Stability analysis K1 Reliability K1 High frequency K1 predictive monitoring K1 process outcome K1 event stream K1 performance evaluation SP 105 OP 112 LK http://dx.doi.org/https://doi.org/10.1109/ICPM60904.2023.10271960 DO https://doi.org/10.1109/ICPM60904.2023.10271960 SF ELIB - SuUB Bremen
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