| Vol-3648 urn:nbn:de:0074-3648-8 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
ICPM Doctoral Consortium and Demo Track 2023

### Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023
co-located with the 5th International Conference on Process Mining (ICPM 2023)

### Rome, Italy, October 27, 2023.

Edited by

### Jan Martijn E. M. van der Werf *
Cristina Cabanillas **
Francesco Leotta ***
Laura Genga ****

* Utrecht University, Faculty of Science, Department of Information and Computing Sciences, Utrecht, The Netherlands
** University of Seville, Research Group of Applied Software Engineering, Seville, Spain
*** Sapienza Università di Roma, Department of Computer, Management and Control Engineering, Rome, Italy
**** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Information Systems group, Eindhoven, The Netherlands

## Table of Contents

- Preface
  Summary: There were 45 papers submitted for peer-review to this workshop. Out of these, 34 papers were accepted for this volume, 0 as regular papers and 34 as short papers.

### Doctoral Consortium

- Perfect Process Models?! A Process-Discovery Technique Optimizing over Quality Measures
  Patrizia Schalk
- User-Friendly Data Extraction and Event Log Building for Process Mining
  Shameer Pradhan
- Bringing healthcare professionals to the forefront in process mining: novel methods to identify information needs and visualize outcomes
  Emmelien De Roock
- Leveraging the Full Potential of Conformance Checking in Practice
  Michael Grohs
- Object-Centric process mining for process analysis and operational support
  Giulia Ruffini
- Towards Organizational Digital Twins: Automated Process Enhancement by Object-Centric Simulation
  Benedikt Knopp
- Noise and Outlier Detection in Task Mining
  Tom Hohenadl
- Unlocking Success in Process Mining Adoption: A Comprehensive Exploration of Human Resources and Team Configurations
  Simin Maleki Shamasbi
- Towards semantic-driven declarative and interactive Process Mining
  Christian Dormagen
- Transforming Process Mining: A Transformer-Based Approach to Semantic Clustering in Event Log Analysis
  Zineddine Bettouche
- Enhancing Support for Individual Analysts in Process Mining
  Lisa Zimmermann
- Enhancing Event Log Manipulation and Insight Discovery through Querying Process Representations with DFGs
  María Salas Urbano
- Interest-Driven Recommendations To Support Time Performance Analyses
  Carlos Capitán Agudo

### Demo Track

- Kairos: A Tool for Prescriptive Monitoring of Business Processes
  Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu
- Combining Process Mining and Simulation to Guide Users Towards Process Improvement in mpmX
  Nina Kinkelin, Clemens Schreiber, Josua Reimold
- Log Generation with Purposes: the Declare4Py Solution
  Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh
- processpredictR: predictive process monitoring using bupaR
  Ivan Esin, Dmitri Beloshitskiy, Gert Janssenswillen
- Excavating event logs with DiSCover
  Eric Verbeek
- Orion: Discovering and Exploring Change Patterns in Dynamic Event Attributes
  Jonas Cremerius, Mathias Weske
- RIMS_tool: a Hybrid Simulator for Business Processes
  Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini
- RuM and Declare4Py: Two Solutions for Checking LTLf Properties in Event Logs
  Tedi Ibershimi, Diellsimeone Xhemalaj, Anti Alman, Ivan Donadello, Fabrizio Maria Maggi
- M-viz: A Tool for the Step-by-step Visualization of the Inductive Miner
  Florian Lang, Din Hida, Yingjie Bian, Adrian Rebmann, Han van der Aa
- FEEED: Feature Extraction from Event Data
  Andrea Maldonado, Gabriel Marques Tavares, Rafael Oyamada, Paolo Ceravolo, Thomas Seidl
- Activity Discovery Tool From Unstructured Data To Enhance Process Mining
  Marwa Elleuch, Christophe Maillard, Olivier Graille, Sonia Laurent, Oumaima Alaoui Ismaili, Philippe Legay
- OCEL 2.0 Resources – www.ocel-standard.org
  István Koren, Jan Niklas Adams, Alessandro Berti, Wil M.P. van der Aalst
- Declare MoGeS: Model Generator and Specializer
  Manal Laghmouch, Benoît Depaire, Nicola Gigante, Mieke Jans, Marco Montali
- Kronos: Discovery and Analysis of Waiting Time Causes
  Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
- IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool
  Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco Dijkman
- Business Miner: Process Mining Insights for Business Users
  Carolin Ullrich, Teodora Lata
- declare-js: A Web-Based Viewer and Editor for Declarative Process Models
  Sabine Nagel, Eric Amann, Patrick Delfmann
- Trident: Generating Noisy Synthetic Processes with Ground Truth
  Dominique Sommers, Durairaja V. Varadarajan, Natalia Sidorova
- Generating event logs with CPN IDE
  Eric Verbeek, Dirk Fahland
- Object-Centric Process Mining (and more) using a Graph-Based Approach with PromG
  Ava Swevels, Eva Klijn, Dirk Fahland

2024-01-11: submitted by Jan Martijn E. M. van der Werf, metadata incl. bibliographic data published under Creative Commons CC0
2024-03-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|