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pro vyhledávání: '"Schönig, Stefan"'
Autor:
Ackermann, Lars, Käppel, Martin, Marcus, Laura, Moder, Linda, Dunzer, Sebastian, Hornsteiner, Markus, Liessmann, Annina, Zisgen, Yorck, Empl, Philip, Herm, Lukas-Valentin, Neis, Nicolas, Neuberger, Julian, Poss, Leo, Schaschek, Myriam, Weinzierl, Sven, Wördehoff, Niklas, Jablonski, Stefan, Koschmider, Agnes, Kratsch, Wolfgang, Matzner, Martin, Rinderle-Ma, Stefanie, Röglinger, Maximilian, Schönig, Stefan, Winkelmann, Axel
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business proce
Externí odkaz:
http://arxiv.org/abs/2406.01786
Adapting security architectures to common standards like IEC 62443 or ISO 27000 in the Industrial Internet of Things (IIoT) involves complex processes and compliance reports. Automatic monitoring of compliance status would enhance this process. Despi
Externí odkaz:
http://arxiv.org/abs/2311.09991
Autor:
Schönig, Stefan, Cabanillas Macias, Cristina, Di Ciccio, Claudio, Jablonski, Stefan, Mendling, Jan
Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resource
Autor:
Schönig, Stefan, Cabanillas Macias, Cristina, Di Ciccio, Claudio, Jablonski, Stefan, Mendling, Jan
Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activit
Externí odkaz:
http://epub.wu.ac.at/5685/1/Schoenig_SoSyM_2016.pdf
Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resource
Externí odkaz:
http://epub.wu.ac.at/5684/1/Schoenig_DSS_2016.pdf
Predictive business process monitoring is concerned with the prediction how a running process instance will unfold up to its completion at runtime. Most of the proposed approaches rely on a wide number of different machine learning (ML) techniques. I
Externí odkaz:
http://arxiv.org/abs/2104.00362
Akademický článek
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Autor:
Schönig, Stefan, Jablonski, Stefan
Publikováno v:
HMD: Praxis der Wirtschaftsinformatik; Oct2024, Vol. 61 Issue 5, p1348-1365, 18p
Akademický článek
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Process modeling is usually done using imperative modeling languages like BPMN or EPCs. In order to cope with the complexity of human-centric and flexible business processes several declarative process modeling languages (DPMLs) have been developed d
Externí odkaz:
http://arxiv.org/abs/1603.06110