eucalyptus
发表于 2025-3-25 04:55:01
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现代
发表于 2025-3-25 08:33:51
Context-Sensitive Textual Recommendations for Incomplete Process Model Elementsto the user. We prototypically implemented our approach and conducted an extensive user experiment with real-world process models in order to assess the usefulness of the recommendations. The results show that our approach fulfills its purpose and creates meaningful recommendations.
FRET
发表于 2025-3-25 12:18:18
Rohela Mahmud,Yvonne Ai Lian Lim,Amirah Amir scenarios are often generated in a less rigorous way. Only one or a few workshops are organized for this purpose, which rely on the use of techniques that are susceptible to bias and incompleteness, e.g. brainstorming. In this paper, we evaluate a new technique for generating process improvement id
前兆
发表于 2025-3-25 17:52:32
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Detonate
发表于 2025-3-25 21:22:18
Medical Paratexts from Medieval to Modernrmance analysis do not take both queueing semantics and the process perspective into account. In this work, we address this gap by developing a novel method for utilizing rich process logs to analyze performance of scheduled processes. The proposed method combines simulation, queueing analytics, and
合乎习俗
发表于 2025-3-26 04:14:02
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轻打
发表于 2025-3-26 04:31:50
https://doi.org/10.1007/978-3-319-73426-2n the last decade as possible means of addressing the challenge of supporting at the same time flexibility in execution, adaptability and compliance. However, the definition of . semantics, which is a necessary foundation for asynchronously executing distributed processes, is not obvious for formali
内疚
发表于 2025-3-26 09:25:35
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genesis
发表于 2025-3-26 14:56:51
https://doi.org/10.1007/978-3-031-30371-5 in the life-cycle of a process-aware information system. However, in a decade of process discovery research, the relevant algorithms are known to have strong limitations in several dimensions. . and . are two important special structures in a process model. Mining invisible tasks involved in non-fr
清楚说话
发表于 2025-3-26 17:11:38
Medical Practice Variations in Stroke, angles. Most of the contributions consider the extraction of a model as a . problem where only positive information is available. In this paper we present a fresh look at process discovery where also negative information can be taken into account. This feature may be crucial for deriving process mo