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Business Process Management Forum

BPM 2022 Forum, Münster, Germany, September 11–16, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 458)

Included in the following conference series:

Conference proceedings info: BPM 2022.

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Table of contents (13 papers)

  1. Modeling and Design

  2. Process Mining

  3. Predictive Process Monitoring

Keywords

About this book

This book constitutes the proceedings of the BPM Forum held at the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022.

The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference.

The 13 full papers included in this volume were carefully reviewed and selected from 98 submissions. The papers were organized in topical sections named: modeling and design; process mining; and predictive process monitoring.

Editors and Affiliations

  • Sapienza University of Rome, Rome, Italy

    Claudio Di Ciccio

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  • Universidad de Sevilla, Seville, Spain

    Adela del Río Ortega

  • Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

Bibliographic Information

  • Book Title: Business Process Management Forum

  • Book Subtitle: BPM 2022 Forum, Münster, Germany, September 11–16, 2022, Proceedings

  • Editors: Claudio Di Ciccio, Remco Dijkman, Adela del Río Ortega, Stefanie Rinderle-Ma

  • Series Title: Lecture Notes in Business Information Processing

  • DOI: https://doi.org/10.1007/978-3-031-16171-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-16170-4Published: 07 September 2022

  • eBook ISBN: 978-3-031-16171-1Published: 06 September 2022

  • Series ISSN: 1865-1348

  • Series E-ISSN: 1865-1356

  • Edition Number: 1

  • Number of Pages: XVI, 225

  • Number of Illustrations: 36 b/w illustrations, 27 illustrations in colour

  • Topics: Computer Applications, IT in Business, Data Mining and Knowledge Discovery

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