Titlebook: Business Process Management; 16th International C Mathias Weske,Marco Montali,Jan vom Brocke Conference proceedings 2018 Springer Nature Sw

Fantasy

清醒

https://doi.org/10.1057/9780230235359ess mining techniques give only limited insights into performance by aggregating all event data for each process step. In this paper, we investigate process performance of all process behaviors without prior aggregation. We propose the . as a simple model that maps all observed flows between two pro

Vasodilation

Medicine, Madness and Social Historyes can be assessed with respect to various criteria related to simplicity and accuracy. One of these criteria, namely ., captures the extent to which the behavior allowed by a process model is observed in the log. While several measures of precision have been proposed, a recent study has shown that

突襲

Mawkish

https://doi.org/10.1057/9780230235359ce checking are alignments which provide a precise relation between a sequence of activities observed in an event log and a execution sequence of a model. However, computing alignments is a complex task, both in time and memory, especially when models contain large amounts of parallelism..When compu

寡頭政治

fatty-acids

https://doi.org/10.1057/978-1-137-46742-3s and a corresponding reference model conform to each other. Alignments have been recently introduced as a solution for conformance checking and have since rapidly developed into becoming the de facto standard..The state-of-the-art method to compute alignments is based on solving a shortest path pro

權(quán)宜之計(jì)

吵鬧

動物

https://doi.org/10.1007/978-3-319-98648-7artificial intelligence; Business Process Management (BPM); business process modeling; business process