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Record link: 
http://hdl.handle.net/20.500.12708/56927
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Title: 
Vergleich und Kombination von Techniken des Predictive Business Process Monitoring
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Citation: 
Metzger, A., Leitner, P., Ivanovic, D., Schmieders, E., Franklin, R., Carro, M., Dustdar, S., & Pohl, K. (2017). Vergleich und Kombination von Techniken des Predictive Business Process Monitoring. In J. Jürjens & K. Schneider (Eds.), Software Engineering 2017 (pp. 79–80). Bonner Köllen Verlag. http://hdl.handle.net/20.500.12708/56927
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Metzger, Andreas 
Leitner, Philipp 
Ivanovic, Dragan 
Schmieders, Eric 
Franklin, Rod 
Carro, Manuel 
Dustdar, Schahram 
Pohl, Klaus 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
Software Engineering 2017 
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Date (published): 
2017
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Event name: 
Software Engineering 2017, Fachtagung des GI-Fachbereichs Softwaretechnik 
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Event date: 
21-Feb-2017 - 24-Feb-2017
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Event place: 
Hanover, Germany, EU
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Number of Pages: 
2
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Publisher: 
Bonner Köllen Verlag, GI-Edition - Lecture Notes in Informatics (LNI), P-267
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Peer reviewed: 
Yes
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Keywords: 
Machine Learning; Business Process Management; Prognose
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Abstract: 
Wir stellen einen experimentellen Vergleich von Prognosetechniken für das Predictive Business Process Monitoring vor. Ausgehen von unseren Experimentergebnissen schlagen wir eine geeignete Kombination von Prognosetechniken vor.
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Research Areas: 
Distributed and Parallel Systems: 95%
Computer Science Foundations: 5%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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