| Vol-3783 urn:nbn:de:0074-3783-7 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ICPM-D 2024
ICPM Doctoral Consortium and Demo Track 2024

### Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024
co-located with the 6th International Conference on Process Mining (ICPM 2024)

### Copenhagen, Denmark, October 15, 2024.

Edited by

### Jochen De Weerdt *
Giovanni Meroni **
Han van der Aa ***
Karolin Winter ****

* KU Leuven, Department of Decision Sciences and Information Management, Faculty of Economics and Business, Naamsestraat 69, 3000 Leuven, Belgium
** Technical University of Denmark, Department of Applied Mathematics and Computer Science, Richard Petersens Plads Building 324, 2800 Kgs. Lyngby, Denmark
*** University of Vienna, Faculty of Computer Science, Währinger Str. 29, 1090 Vienna, Austria
**** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Groene Loper 3, 5612AE Eindhoven, The Netherlands

## Table of Contents

- Preface
  Summary: There were 47 papers submitted for peer-review to this workshop. Out of these, 36 papers were accepted for this volume, 0 as regular papers and 36 as short papers.

### Doctoral Consortium

- Multidimensional Process Model Forecasting (MuDiPMF)
  Yongbo Yu
- Measuring Generalization of Process Models Discovered from Event Logs
  Anandi Karunaratne
- Understanding and Improving Process Analysts’ Comprehension of Process Mining Visualizations
  Femke Pieters
- Helping Nurses to Improve Their Work Organisation Using Process Data
  An Vanthienen
- Stochastic Object-Centric Process Mining: Analysing Object Interaction Patterns
  Jan Niklas van Detten
- Business Process Intervention Discovery and Decision Support
  Jakob De Moor
- Exploring Expert Behavior of Process Mining Analysts
  Jessica Van Suetendael
- How Do Explainability and Interpretability Affect the Use of Process Mining?
  Irina Tentina
- Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks
  Andrea Maldonado
- A Hybrid Compliance Checking Approach: Law Meets Process Domain
  Juanita Caballero-Villalobos
- Traceability in Process Analysis
  Maike Basmer
- Conformance Checking Beyond Replay Methods: Closing The Gap To Real-World Adoption
  Eduardo Goulart Rocha

### Demo Track

- Distributed Event Factory: A Tool for Generating Event Streams on Distributed Data Sources
  Hendrik Reiter, Christian Imenkamp, Agnes Koschmider, Wilhelm Hasselbring
- CONFINE: Preserving Data Secrecy in Decentralized Process Mining
  Valerio Goretti, Davide Basile, Luca Barbaro, Claudio Di Ciccio
- EduClare – An Intelligent Tutoring Chatbot for Teaching Declarative Process Modeling
  Sabine Nagel, Anna Wolters, Dennis M. Riehle, Patrick Delfmann
- Entropia: Measuring Log Representativeness and Generalization of Discovered Process Models
  Anandi Karunaratne, Artem Polyvyanyy, Alistair Moffat
- Building Process Mining Dashboards Manually or AI-assisted with Celonis Views
  Carolin Ullrich, Teodora Lata, Gregory Benton
- Apromore Compliance Center: A No-Code Solution to Process Compliance Management
  Nigel Adams, Adriano Augusto, Michael Davern, Marcello La Rosa
- SWORD Extractor Pulling Workarounds out the Eventlog
  Wouter van der Waal, Inge van de Weerd, Hajo A. Reijers
- Ebi - a Stochastic Process Mining Framework
  Sander J.J. Leemans, Tian Li, Jan Niklas van Detten
- Simulating Environmental Impacts of Business Processes with SimuBridge and the SOPA Framework
  Finn Klessascheck, Leon Bein, Luise Pufahl
- CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes
  Frederik Hake, Simon Schneider, Nikolaos Theofanopoulos, Camila Gonzalez, Poey Sie Chuah, Michael Grohs, Jana-Rebecca Rehse
- iGEDI: interactive Generating Event Data with Intentional Features
  Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl
- Journey-to-Process Analytics: Fusing Experience with Operations Data
  Alexander Rochlitzer, Manuel Meindl, Raheleh Hadian, Gregory Hakomaki II, Henrik Leopold
- DCR4Py: A PM4Py Library extension for Declarative Process Mining in Python
  Simon V.H. Hermansen, Ragnar Jónsson, Jonas L. Kjeldsen, Tijs Slaats, Vlad Paul Cosma, Hugo A. López
- DIS-PIPE: A Tool for Data Pipeline Discovery
  Simone Agostinelli, Dario Benvenuti, Andrea Marrella, Jacopo Rossi
- LogPPL: A Tool for Probabilistic Process Mining
  Martin Kuhn, Joscha Grüger, Christoph Matheja, Andrey Rivkin
- dynamik: A Tool for Performance Drift Detection in Business Processes
  Víctor Gallego-Fontenla, Frederik Milani, Marlon Dumas
- A Taste of the Different Flavors of Tiramisù
  Anti Alman, Alessio Arleo, Iris Beerepoot, Andrea Burattin, Claudio Di Ciccio, Manuel Resinas
- 3DCR: A Tool for Immersive Process Mining
  Juanita Caballero-Villalobos, Simon James Jensen, Hugo-Andrés López-Acosta
- Python-JXES: Python Implementation of JSON Serialization for XES Standard
  Maxim Vidgof
- Process Analytics Workbench (PAW)
  Weixin Wang, Eric Amann, Martin Matzner, Patrick Delfmann
- Work Tagger: A Labelling Companion
  Manuel Resinas, Rocío Goñi-Medina, Iris Beerepoot, Adela del-Río-Orteg, Hajo A. Reijers
- EDD: A Web-Based Editor for Declarative Process Models Using easyDeclare
  Graziano Blasilli, Lauren Ferro, Simone Lenti, Fabrizio Maria Maggi, Andrea Marrella, Tiziana Catarci
- The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients
  Milad Naeimaei Aali, Felix Mannhardt, Pieter Toussaint
- ProM4Py - A Python Wrapper For The ProM Framework
  Henrik Kaemmerling, Eduardo Goulart Rocha, Wil van der Aalst

2024-10-03: submitted by Giovanni Meroni, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|