Titlebook: Enterprise, Business-Process and Information Systems Modeling; 25th International C Han van der Aa,Dominik Bork,Arnon Sturm Conference proc

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https://doi.org/10.1007/978-3-030-83696-2herefrom. Extracting significant insights from DFGs is a laborious process that involves multiple data manipulation operations and comparisons between the resulting DFGs generated after each manipulation. However, current process mining tools lack the ability to uniformly manipulate and manage multi

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Elaine C. Davis,Robert P. Mechamased on properties of constraint templates, which requires rework when new templates are added and cannot handle models expressed as arbitrary logical formulas. We present a precision-based heuristic function that requires no pre-configuration and can handle arbitrary constraints, provided they can

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Four Linear Continuum Theories,le methods to improve these processes. Process optimization often overlooks human resources as crucial parts of business processes. By focusing on individual user preferences process executions can be improved. Approaches pursuing this idea are subsumed under the term human-centric BPM. One way to a

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Aubrey E. Taylor,James C. Parker,Bengt Rippenstraints when a process model includes uncontrollable activities whose duration is revealed at the time of activity completion. However, dynamic controllability cannot take advantage when an actual duration is revealed earlier, leading to unnecessary strict checks for temporal correctness. We propo

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Alexandre M. Carmo,Sónia N. Henriquese current research which only identifies the variability over time, we focus on other dimensions that may play a role in the performance of the process. This research addresses the challenge of effectively segmenting cases within operational processes based on continuous features, such as duration o

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,Mapping Products of Titan’s Surface,l very limited. This paper proposes a novel process discovery method that improves process analysis through the definition and exploitation of activity specialization hierarchies. Our method includes strategies for extracting process models by flexibly incorporating contextual information into proce