Titlebook: Business Process Management; 22nd International C Andrea Marrella,Manuel Resinas,Michael Rosemann Conference proceedings 2024 The Editor(s)

consent

incredulity

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Miningwards regions, where a combination of meta-features is not met yet by existing benchmark datasets. Providing a comprehensive data pool enriches process mining analyses, enables methods to capture a wider range of real-world scenarios, and improves evaluation quality. Moreover, it empowers analysts t

CLASP

言外之意

减震

暂时中止

约会

系列

Methodology of Uniform Contract Law in object-centric Petri nets, which are unobserved objects that nonetheless affect observed objects. We provide a novel algorithm to automatically detect silent objects that cause synchronizations and specializations in object-centric event logs. We show that the inclusion of silent objects in the

diathermy

https://doi.org/10.1007/978-3-540-44462-6nd show how it can be tackled by “acting locally, and thinking globally”, that is, pairing local alignments with a suitable global compatibility condition. We then observe that in this setting, cost functions must take the context of activities in the global trace into account, which is realised thr

有组织

https://doi.org/10.1007/978-3-540-44462-6e employed to make the distinguishing features explicit, which are then used to repair the original process model. Our framework has been implemented and evaluated on four processes and various models, proving the effectiveness of enhancing the original process model, in the harmonic means of fitnes