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Titlebook: Business Process Management; 11th International C Florian Daniel,Jianmin Wang,Barbara Weber Conference proceedings 2013 Springer-Verlag Ber

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51#
發(fā)表于 2025-3-30 09:20:28 | 只看該作者
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發(fā)表于 2025-3-30 14:19:43 | 只看該作者
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發(fā)表于 2025-3-30 20:17:16 | 只看該作者
Increasing Recall of Process Model Matching by Improved Activity Label Matchingis fundamentally hard when considering realistic scenarios: e.g., there is a huge variety of terms and various options for the grammatical structure of activity labels exist. While prior research has established important conceptual foundations, recall values have been fairly low (around 0.26) – arg
54#
發(fā)表于 2025-3-30 22:14:54 | 只看該作者
A Visualization Approach for Difference Analysis of Process Models and Instance Trafficc that presents how instances have progressed through the model. The use cases range from comparison of process variants in order to identify redundancies and inconsistencies between them to the analysis of instance traffic for the (re)design of models. Visualizations can support users in their anal
55#
發(fā)表于 2025-3-31 02:59:53 | 只看該作者
Business Process Architectures with Multiplicities: Transformation and Correctnesstectures (BPA) have been introduced. These express trigger and message flow relations between business processes. When we investigate real world business process architectures we find complex interdependencies, involving multiple process instances. These aspects have not been studied in detail so fa
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發(fā)表于 2025-3-31 08:22:40 | 只看該作者
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發(fā)表于 2025-3-31 09:41:00 | 只看該作者
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發(fā)表于 2025-3-31 14:55:30 | 只看該作者
Dina Barman,Kaushik Bhattacharjeerld and store it in the company’s information system possibly at a later point. We then show how one can check the completeness of database queries in a certain state of the process or after the execution of a sequence of actions, by leveraging on query containment, a well-studied problem in database theory.
59#
發(fā)表于 2025-3-31 19:47:20 | 只看該作者
60#
發(fā)表于 2025-3-31 23:12:53 | 只看該作者
Moneyball for nanoHUB: Theory-Driven and Data-Driven Approaches to Understand the Formation and Succection of scientific dream teams currently rests on an assessment of the caliber of the individual scientists, with far less attention paid to the relationships that gel the team together, and the factors that determine how those pivotal relationships come about.
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