Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes
dc.contributor.author | Fahrenkrog-Petersen, Stephan A. | |
dc.contributor.author | Weidlich, Matthias | |
dc.contributor.editor | Czarnecki, Christian | |
dc.contributor.editor | Brockmann, Carsten | |
dc.contributor.editor | Sultanow, Eldar | |
dc.contributor.editor | Koschmider, Agnes | |
dc.contributor.editor | Selzer, Annika | |
dc.date.accessioned | 2018-10-10T10:43:43Z | |
dc.date.available | 2018-10-10T10:43:43Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Generalized Stochastic Petri Nets (GSPNs) can be used for performance analysis of business processes. Recently, it was shown that foldings of a GSPN, i.e., a set of model reduction rules, help to avoid over-fitting of the model with respect to the performance characteristics of a process. Yet, these foldings ignore the marking of a GSPN and, thus, are applicable solely for steady-state analysis. In this paper, we discuss how foldings may be lifted to marked nets and provide an assessment of stateful foldings for sequential GSPNs. | en |
dc.identifier.isbn | 978-3-88579-679-4 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17224 | |
dc.language.iso | en | |
dc.publisher | Köllen Druck+Verlag GmbH | |
dc.relation.ispartof | Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit | |
dc.relation.ispartofseries | Lecture Notes in Informatics | |
dc.subject | Business Process Management | |
dc.subject | Process Mining | |
dc.subject | Generalized Stochastic Petri nets | |
dc.subject | Model Simplification | |
dc.title | Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 244 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 239 | |
gi.conference.date | 26.-27.09.2018 | |
gi.conference.location | Berlin | |
gi.conference.sessiontitle | ZuGPM 2018 – Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements |
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