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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FACT

Glossy

裂隙

https://doi.org/10.1007/978-3-030-83696-2telligence Challenges. By combining these sources, insights into interface design needs aligned with real process mining applications were obtained. As a result, we have identified 14 requirements grouped into 3 main categories. These requirements serve as the basis to build future user interfaces o

cajole

Bioreactors for Tissue Engineeringthe task of business process information extraction, improving the accuracy of extraction. Our study shows, that data augmentation is an important component in enabling machine learning methods for the task of business process model generation from natural language text, where currently mostly rule-

外向者

Yanfeng Luo,Juan Xing,Manping Linat offers insights into different domains, the operationalization of regulations, applied conformance checking techniques, and visualizations. Our analysis reveals that several steps are still performed manually, but we anticipate that future advancements in automation can significantly support the

使殘廢

Alexandre M. Carmo,Sónia N. Henriquesvior. We validate our methodology through a real-life case study in collaboration with UWV, the Dutch employee insurance agency, demonstrating its practical applicability. This research contributes to the field by aiding organizations in improving process efficiency, pinpointing abnormal behaviors,

conduct

Titanium Science and Technology cameras). We find that good understanding of performance of modeling tasks can be achieved by using biometric data in a natural usage situation. We have just scratched the surface of this topic, and we present the start of a larger research program in this area in the concluding remarks.

積極詞匯

Resource Optimization in Business Processesficient manner. This allocation is made complicated by the different authorizations and the varying effectiveness of people for tasks. Moreover, administrative processes operate under substantial uncertainty, as the customer’s journey through the process typically is uncertain upon their arrival. To

MIME

Evaluating Large Language Models in?Process Mining: Capabilities, Benchmarks, and?Evaluation Strategowever, little attention has been given to developing strategies for evaluating and benchmarking the utility of incorporating LLMs into PM tasks. This paper reviews the current implementations of LLMs in PM and reflects on three different questions. 1) What is the minimal set of capabilities require