ICPM-D 2023
ICPM Doctoral Consortium and Demo Track 2023

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
• The DyLoPro Library: Comprehensively Profiling the Dynamics of Event Logs by Means of Visual Analytics
  Brecht Wuyts , Hans Weytens , Seppe Vanden Broucke Jochen De Weerdt
• 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