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Business Process Management

22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings

  • Conference proceedings
  • © 2024

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Editors:
  1. Andrea Marrella

    1. Sapienza University of Rome, Rome, Italy

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  2. Manuel Resinas

    1. University of Seville, Seville, Spain

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  3. Mieke Jans

    1. Hasselt University, Hasselt, Belgium

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  4. Michael Rosemann

    1. Queensland University of Technology, Brisbane, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14940)

Included in the following conference series:

Conference proceedings info: BPM 2024.

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About this book

This book constitutes the refereed proceedings of the 22nd International Conference on Business Process Management, BPM 2024, which took place in Krakow, Poland, in September 2024. 

The 29 full papers included in this book were carefully reviewed and selected from 144 submissions. They were organized in topical sections as follows: Foundations; Engineering; and Management. 

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Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xxxvi
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  2. Foundations

    1. Front Matter

      Pages 1-1
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    2. Optimizing Resource-Driven Process Configuration Through Genetic Algorithms

      • Felix Schumann, Stefanie Rinderle-Ma
      Pages 3-20

    3. Data Petri Nets Meet Probabilistic Programming

      • Martin Kuhn, Joscha Grüger, Christoph Matheja, Andrey Rivkin
      Pages 21-38

    4. Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications

      • Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
      Pages 39-56

    5. Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets

      • Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans
      Pages 57-74

    6. Glocal Conformance Checking

      • Alessandro Burigana, Alessandro Gianola, Marco Montali, Sarah Winkler
      Pages 75-92

    7. On the Interplay Between BPMN Collaborations and the Physical Environment

      • Flavio Corradini, Jessica Piccioni, Barbara Re, Lorenzo Rossi, Francesco Tiezzi
      Pages 93-110

    8. Super Variants

      • Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst
      Pages 111-128

    9. Repairing Process Models Through Simulation and Explainable AI

      • Francesco Vinci, Massimiliano de Leoni
      Pages 129-145

    10. Improving Process Discovery Using Translucent Activity Relationships

      • Harry H. Beyel, Wil M. P. van der Aalst
      Pages 146-163

  3. Engineering

    1. Front Matter

      Pages 165-165
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    2. Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning

      • Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino et al.
      Pages 167-184

    3. Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery

      • Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris, Marco Comuzzi
      Pages 185-202

    4. Attention Please: What Transformer Models Really Learn for Process Prediction

      • Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
      Pages 203-220

    5. GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining

      • Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl
      Pages 221-237

    6. Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring

      • Johannes Roider, Dario Zanca, Bjoern M. Eskofier
      Pages 238-255

    7. What’s Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs

      • A. Martínez-Rojas, A. Rodríguez-Ruíz, J. G. Enríquez, A. Jiménez-Ramírez
      Pages 256-272

    8. Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining

      • Alexander Kraus, Han van der Aa
      Pages 273-290

    9. Mining Behavioral Patterns for Conformance Diagnostics

      • Eduardo Goulart Rocha, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
      Pages 291-308
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Other volumes

  1. Business Process Management

  2. Business Process Management Forum

  3. Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum

  4. Business Process Management Workshops

Editors and Affiliations

  • Sapienza University of Rome, Rome, Italy

    Andrea Marrella

  • University of Seville, Seville, Spain

    Manuel Resinas

  • Hasselt University, Hasselt, Belgium

    Mieke Jans

  • Queensland University of Technology, Brisbane, Australia

    Michael Rosemann

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