Skip to main content
SpringerLink
Log in

Process Mining Workshops

ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Johannes De Smedt

    1. KU Leuven, Leuven, Belgium

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Pnina Soffer

    1. University of Haifa, Haifa, Israel

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 503)

Included in the following conference series:

Conference proceedings info: ICPM 2023.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 69.99
Price excludes VAT (USA)
This title has not yet been released. You may pre-order it now and we will ship your order when it is published on 14 May 2024.
  • Compact, lightweight edition
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (38 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Fourth International Workshop on Event Data and Behavioral Analytics (EdbA 2023)

    1. Front Matter

      Pages 1-4
      Download chapter PDF

  3. Fourth International Workshop on Event Data and Behavioral Analytics (EdbA 2023)

    1. Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study

      • Zahra Ahmadi, Yannis Bertrand, María Isabel Pozo Romero, Estefanía Serral
      Pages 5-18

    2. Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information

      • Anti Alman, Alessio Arleo, Iris Beerepoot, Andrea Burattin, Claudio Di Ciccio, Manuel Resinas
      Pages 19-31

    3. NICE: The Native IoT-Centric Event Log Model for Process Mining

      • Yannis Bertrand, Silvestro Veneruso, Francesco Leotta, Massimo Mecella, Estefanía Serral
      Pages 32-44

    4. CaseID Detection for Process Mining: A Heuristic-Based Methodology

      • Roberta De Fazio, Antonio Balzanella, Stefano Marrone, Fiammetta Marulli, Laura Verde, Vincenzo Reccia et al.
      Pages 45-57

    5. Parallelism-Based Session Creation to Identify High-Level Activities in Event Log Abstraction

      • Onur Dogan, Massimiliano de Leoni
      Pages 58-69

    6. From OCEL to DOCEL – Datasets and Automated Transformation

      • Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa
      Pages 70-83

    7. Event Knowledge Graphs for Auditing: A Case Study

      • Eva L. Klijn, Dennis Preuss, Lulzim Imeri, Florin Baumann, Felix Mannhardt, Dirk Fahland
      Pages 84-97

    8. Turning Logs into Lumber: Preprocessing Tasks in Process Mining

      • Ying Liu, Vinicius Stein Dani, Iris Beerepoot, Xixi Lu
      Pages 98-109

    9. Improving Precision in Process Trees Using Subprocess Tree Logs

      • Christian Rennert, Wil M. P. van der Aalst
      Pages 110-122

    10. Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach

      • Jochem Veldman, Xixi Lu, Wouter van der Waal, Marcus Dees, Inge van de Weerd
      Pages 123-135

  4. 4th International Workshop on Leveraging Machine Learning for Process Mining (ML4PM 2023)

    1. Front Matter

      Pages 137-140
      Download chapter PDF

    2. Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction

      • Francesco Folino, Luigi Pontieri, Pietro Sabatino
      Pages 141-152

    3. Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring

      • Sungkyu Kim, Marco Comuzzi, Chiara Di Francescomarino
      Pages 153-164

    4. Discovering Process-Based Drivers for Case-Level Outcome Explanation

      • Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu
      Pages 165-178

    5. Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks

      • Alessandro Niro, Michael Werner
      Pages 179-190

    6. Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring

      • Mozhgan Vazifehdoostirani, Mohsen Abbaspour Onari, Isel Grau, Laura Genga, Remco Dijkman
      Pages 191-203

  5. 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2023)

    1. Front Matter

      Pages 205-209
      Download chapter PDF

    2. Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders – A Case Study

      • Ruben Claus, Niels Martin, Esther R. C. Janssen, Gert Janssenswillen, Tim A. E. J. Boymans, Rob J. B. Vanwersch
      Pages 211-222
Back to top

Other volumes

  1. Process Mining Workshops

Keywords

About this book

This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023.


The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. 


ICPM 2023 presented the following six workshops:


– 4th International Workshop on Event Data and Behavioral Analytics (EdbA)


– 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)


– 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)


– 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)


– 2nd International Workshop on Education Meets Process Mining (EduPM)


– 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).





Editors and Affiliations

  • KU Leuven, Leuven, Belgium

    Johannes De Smedt

  • University of Haifa, Haifa, Israel

    Pnina Soffer

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation