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Titlebook: Enterprise Design, Operations, and Computing; 26th International C Jo?o Paulo A. Almeida,Dimka Karastoyanova,Claudeni Conference proceeding

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書目名稱Enterprise Design, Operations, and Computing
副標(biāo)題26th International C
編輯Jo?o Paulo A. Almeida,Dimka Karastoyanova,Claudeni
視頻videohttp://file.papertrans.cn/312/311446/311446.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Enterprise Design, Operations, and Computing; 26th International C Jo?o Paulo A. Almeida,Dimka Karastoyanova,Claudeni Conference proceeding
描述.This book constitutes the proceedings of the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022, which took place in Bozen-Bolzano, Italy, in October 2022. ..The 15 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: enterprise security; enterprise architecture; business process modeling and monitoring; business process mining and discovery; and process-driven applications. .
出版日期Conference proceedings 2022
關(guān)鍵詞administrative data processing; artificial intelligence; automation; bpm; Business Process Management (B
版次1
doihttps://doi.org/10.1007/978-3-031-17604-3
isbn_softcover978-3-031-17603-6
isbn_ebook978-3-031-17604-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Security Ontologies: A Systematic Literature Reviewontologies relate to one another is challenging due to their structure, size, complexity, and level of expressiveness. Differences between ontologies can be found on both the ontological and linguistic levels, resulting in errors and inconsistencies (i.e., different concept hierarchies, types of con
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Model-Based Construction of?Enterprise Architecture Knowledge Graphs and cohesive representation of the enterprise, enabling communication, analysis, and decision making. With the increasing size of EA models, automated analysis becomes essential. However, advanced model analysis is neither incorporated in current EA methods like ArchiMate nor supported by existing
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Enterprise Architecture Management Support for Digital Transformation Projects in Very Large Enterpr) architecture. The enterprise architecture management (EAM) function is designed to support these transformation endeavors. As DT projects are increasingly customer- and partner-driven, business-oriented and based on innovative digital technologies, the requirements for the EAM function are expecte
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Next-Activity Prediction for?Non-stationary Processes with?Unseen Data Variabilitye, or the next activity. A process in this context represents a coordinated set of activities that are enacted by a process engine in a specific order. The underlying source of data for PPM are event logs (ex post) or event streams (runtime) emitted for each activity. Although plenty of methods have
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