Jorge Munoz-Gama – författare
441 kr
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Business Process Management: Blockchain, Robotic Process Automation and Educators Forum
BPM 2023 Blockchain, RPA and Educators Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings
1 347 kr
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1 672 kr
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This book constitutes the proceedings of the BPM Forum held at the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023.
The Blockchain Forum provided a platform for exploring and discussing innovative ideas on the intersection of BPM and blockchain technology. The RPA Forum focused on the use of the Robotic Process Automation (RPA) in the field of Business Process Management. The Educators Forum brought together educators within the BPM community for sharing resources to improve the practice of teaching BPM-related topics.
The 18 full papers included in this volume were carefully reviewed and selected from a total of 39 submissions.Explainable Artificial Intelligence and Process Mining Applications for Healthcare
Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings
733 kr
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865 kr
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Explainable Artificial Intelligence and Process Mining Applications for Healthcare
4th International Workshop, XAI-Healthcare 2025, and 2nd International Workshop, PM4H 2025, Pavia, Italy, June 26, 2025, Proceedings
677 kr
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873 kr
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549 kr
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687 kr
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Process mining techniques can be used to discover, analyze and improve real processes, by extracting models from observed behavior. The aim of this book is conformance checking, one of the main areas of process mining. In conformance checking, existing process models are compared with actual observations of the process in order to assess their quality. Conformance checking techniques are a way to visualize the differences between assumed process represented in the model and the real process in the event log, pinpointing possible problems to address, and the business process management results that rely on these models. This book combines both application and research perspectives. It provides concrete use cases that illustrate the problems addressed by the techniques in the book, but at the same time, it contains complete conceptualization and formalization of the problem and the techniques, and through evaluations on the quality and the performance of the proposed techniques. Hence, this book brings the opportunity for business analysts willing to improve their organization processes, and also data scientists interested on the topic of process-oriented data science.