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An Empirical Investigation of Different Classifiers, Encodi..:
Tama, Bayu Adhi
;
Comuzzi, Marco
;
Ko, Jonghyeon
ACM Transactions on Intelligent Systems and Technology (TIST). 11 (2020) 6 - p. 1-34 , 2020
Link:
https://dl.acm.org/doi/10.1145/3406541
RT Journal T1
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
UL https://suche.suub.uni-bremen.de/peid=acm-3406541&Exemplar=1&LAN=DE A1 Tama, Bayu Adhi A1 Comuzzi, Marco A1 Ko, Jonghyeon PB ACM YR 2020 SN 2157-6904 SN 2157-6912 K1 Classifier ensembles K1 business process K1 empirical benchmark K1 homogeneous ensembles K1 individual classifier K1 next event prediction K1 predictive monitoring K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Ensemble methods K1 Applied computing K1 Enterprise computing K1 Business process management K1 Business process monitoring K1 Information systems K1 Information systems applications K1 Decision support systems K1 Data analytics JF ACM Transactions on Intelligent Systems and Technology (TIST) VO 11 IS 6 SP 1 OP 34 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3406541 DO https://dl.acm.org/doi/10.1145/3406541 SF ELIB - SuUB Bremen
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