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Titlebook: Business Process Management Forum; BPM Forum 2020, Sevi Dirk Fahland,Chiara Ghidini,Marlon Dumas Conference proceedings 2020 Springer Natur

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1865-1348 ss modeling; process mining; predictions and recommendations; BPM adoption and maturity; and standardization, change, and handoffs... .978-3-030-58637-9978-3-030-58638-6Series ISSN 1865-1348 Series E-ISSN 1865-1356
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,Konsequenzen für die Rezeption, intervention. In addition, they do not take into consideration activity business data (BD) perspective. In this paper, we introduce a pattern discovery based approach to tackle these limitations; we suggest mainly to discover frequent activities and their BD with unsupervised way. Additionally, our
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Evolutionspsychologische Bausteine,definitions for the main anonymization operations, used by privacy models in process mining. These are used to create an infrastructure for recording the privacy metadata. We advocate the proposed privacy metadata in practice by designing a privacy extension for the XES standard and a general data s
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Die Grundlagen der Evolutionspsychologie,GB encoding of process instances useful to train a 2-D Convolutional Neural Network based on Inception block. The empirical study proves the effectiveness of the proposed approach for next-activity prediction on different real-world event logs.
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https://doi.org/10.1007/978-3-322-93316-4also a significant negative correlation between the market culture type and BPM adoption as measured by BPO and PPI. The insights gained by this study can help practitioners make informed decisions on their BPM adoption approach within their IT community and scholars in future research on the relati
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