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        Process Mining Workshops

        ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers

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        Contributor(s)
        Montali, Marco (editor)
        Senderovich, Arik (editor)
        Weidlich, Matthias (editor)
        Language
        English
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        Abstract
        This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
        URI
        https://library.oapen.org/handle/20.500.12657/62417
        Keywords
        process mining; process discovery; process analytics; process querying; conformance checking; predictive process monitoring; data science; knowledge graphs; event data; streaming analytics; machine learning; deep learning; business process management; health informatics
        DOI
        10.1007/978-3-031-27815-0
        ISBN
        9783031278150, 9783031278150, 9783031278143
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Imprint
        Springer Nature Switzerland
        Series
        Lecture Notes in Business Information Processing, 468
        Classification
        Data mining
        Business mathematics and systems
        Machine learning
        Information technology: general topics
        Digital and information technologies: Health and safety aspects
        Pages
        592
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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