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1 Ergebnisse
1
An Experimental Analysis on Mining Proportional Process Mod..:
, In:
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
,
Bae, Joo-Eun
;
Lee, Jin-Hyong
;
Park, Young-In
... - p. 297-305 , 2022
Link:
https://doi.org/10.1109/BDCAT56447.2022.00049
RT T1 <cTitle>2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)</cTitle>: T1 <Title>An Experimental Analysis on Mining Proportional Process Models from Process Logs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10062203&Exemplar=1&LAN=DE A1 Bae, Joo-Eun A1 Lee, Jin-Hyong A1 Park, Young-In A1 Park, So-Hyang A1 Kim, Kyoung-Sook A1 Kim, Kwanghoon Pio YR 2022 K1 Analytical models K1 Visualization K1 Computational modeling K1 Process control K1 Big Data K1 Knowledge discovery K1 Data models K1 proportional process mining framework K1 experimental analysis K1 process event log K1 IEEE XES event stream format SP 297 OP 305 LK http://dx.doi.org/https://doi.org/10.1109/BDCAT56447.2022.00049 DO https://doi.org/10.1109/BDCAT56447.2022.00049 SF ELIB - SuUB Bremen
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