Titlebook: Business Process Management; 13th International C Hamid Reza Motahari-Nezhad,Jan Recker,Matthias Wei Conference proceedings 2015 Springer I

疾驰

John-Michael Gamble,Sonia Butalianstraints from event logs. Existing discovery techniques verify the satisfaction of candidate constraints over the log, but completely neglect their interactions. As a result, the inferred constraints can be mutually contradicting and their interplay may lead to an inconsistent process model that do

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Cornelia F. Mutel,Kelley J. Donhamimes of activities and resources in business processes. However, such averages of waiting and service times are not readily available in most event logs that only record either the start or the completion times of events in activities. The transition times between events in such logs are the only pe

Armory

https://doi.org/10.1007/978-3-030-06103-6to evaluate alternatives. However, even a small number of design choices may lead to an explosion of models that need to be explored to find the optimal models for said process. If the exploration depends on simulation, it often becomes infeasible to simulate every model. Therefore, for throughput t

arrogant

https://doi.org/10.1007/978-3-030-06103-6e model collections we have worked with, we found that every third model contains elements with incomplete element names. While prior research has proposed techniques to close gaps on the structural level, approaches that address the naming of incompletely specified model elements are missing. In th

atrophy

SMART

Business Process Management978-3-319-23063-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

磨坊

Constrain

https://doi.org/10.1007/978-3-319-23063-4Business information systems; Business intelligence; Business process management systems; Business proc

Aerate

978-3-319-23062-7Springer International Publishing Switzerland 2015