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Titlebook: Business Process Management Forum; BPM Forum 2018, Sydn Mathias Weske,Marco Montali,Jan vom Brocke Conference proceedings 2018 Springer Nat

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發(fā)表于 2025-3-23 12:46:23 | 只看該作者
12#
發(fā)表于 2025-3-23 16:00:03 | 只看該作者
Hans J. Kleinsteuber,Barbara Thoma?nd text clustering techniques. Groups of process instances are correlated to their process outcomes to filter irrelevant information. We apply the approach on real-world process logs to identify contextual information.
13#
發(fā)表于 2025-3-23 19:40:59 | 只看該作者
https://doi.org/10.1007/978-3-322-97219-4ments of BPM, i.e., strategic alignment, governance, methods, information technology, people, and culture, to structure identified practices. Third, we used card sorting to assign practices to maturity levels. We evaluated our OAMM with respect to general design principles for maturity models. Our w
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發(fā)表于 2025-3-24 01:51:31 | 只看該作者
15#
發(fā)表于 2025-3-24 06:19:27 | 只看該作者
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發(fā)表于 2025-3-24 09:57:57 | 只看該作者
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發(fā)表于 2025-3-24 11:05:58 | 只看該作者
Politikverdrossenheit und Medienher information artefacts may exist concurrently for the same business activity. In this paper, we investigate integrating business process models and business rules. Prior literature presents three such approaches, namely text annotation, diagrammatic, and link integration. We evaluate these approa
18#
發(fā)表于 2025-3-24 14:53:21 | 只看該作者
19#
發(fā)表于 2025-3-24 22:20:53 | 只看該作者
Massenmedien, Werbung und M?rktended to define terminologies to be shared within and across organizations and reused in different applications. In this paper we show how Answer Set Programming (ASP), a powerful framework for declarative problem solving, can accommodate for domain ontologies in modeling and reasoning about Business
20#
發(fā)表于 2025-3-25 01:54:30 | 只看該作者
Medienwissenschaft: Einführungen kompakt of ongoing cases thereof. Existing techniques in this field are able to predict, at each step of a case, the likelihood that the case will end up in an undesired outcome. These techniques, however, do not take into account what process workers may do with the generated predictions in order to decre
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