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    Process Mining Workshops

    ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers

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    Contributor(s)
    Munoz-Gama, Jorge (editor)
    Lu, Xixi (editor)
    Language
    English
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    Abstract
    This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. 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 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included.
    URI
    https://library.oapen.org/handle/20.500.12657/54026
    Keywords
    Process Mining; Process Discovery; Process Analytics; Process Querying; Conformance Checking; Predictive Process Monitoring; Data Science; Event Data; Streaming Analytics; Machine Learning; Decision Support Systems; Business Process Management; Information Systems; Petri Nets; Open Access
    DOI
    10.1007/978-3-030-98581-3
    ISBN
    9783030985813, 9783030985813
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Imprint
    Springer International Publishing
    Series
    Lecture Notes in Business Information Processing, 433
    Classification
    Data mining
    Business mathematics and systems
    Information technology: general topics
    Pages
    410
    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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