The International Conference on Process Mining (ICPM) is the premium forum for researchers, practitioners and developers in process mining. The objective is to explore and exchange knowledge in this field through scientific talks, industry discussions, contests, technical tutorials and panels. The conference covers all aspects of process mining research and practice, including theory, algorithmic challenges, applications and connections with other fields.

The conference is technically co-sponsored by the IEEE Computational Intelligence Society and supported by the IEEE Task Force on Process Mining. 

Process mining is an innovative research field that focuses on extracting business process insights from transactional data commonly recorded by IT systems, with the ultimate goal of analyzing and improving organizational productivity along performance dimensions such as efficiency, quality, compliance, and risk. By relying on data rather than perceptions gained from interviews and workshops, process mining shifts the way of thinking from “confidence-based” to “evidence-based” business process management. Thus, process mining distinguishes itself within the information systems domain by its fundamental focus on understanding, analyzing, and improving business processes based on process data.

Current process mining challenges include scalability, i.e., dealing with volume, velocity, veracity and variability of input data, especially in real-time/online settings using event streams; approximation, i.e., balancing computation time with accuracy; understandability and explainability, i.e., providing easy-to-understand and explainable analytics; multi-perspective analysis, i.e., considering data, resources and time beyond the process control flow; measurability, e.g., providing a comprehensive framework for measuring differences between observed and modelled process behavior, and ethical and confidential aspects of process mining, i.e., how to ensure that process mining procedures and results do not violate ethical and privacy principles.

Topics for Research Papers

ICPM 2023 encourages papers on new methodologies, techniques and applications for process mining, as well as case studies coming from industrial scenarios. Also, papers describing novel tools, fundamental research and empirical studies on process mining are expected. For the sake of replicability of the presented studies, the addition of supplementary resources is strongly encouraged, such as used datasets, publicly accessible implementations of new techniques, and experimental packages for empirical studies. The use of novel, previously unpublished datasets is most welcome. Research on existing datasets must clearly showcase the novelty or unprecedented results of the applied analysis.

Selected, accepted research papers will be considered for publication in an extended and revised form in a special issue of Information Systems, edited by Elsevier.

The thematic areas in which contributions are sought include, but are not limited to, those listed below.

Process mining techniques

• Automated Discovery of Process Models
• Conformance/compliance Analysis
• Construction of Event Logs
• Event Log Quality Improvement
• Decision Mining for Processes
• Rule/constraint-based Process Mining
• Mining from non-process-aware systems 
• Analyzing Event Streams
• Object-centric and Multi-instance Process Mining
• Data-centric Process Mining
• Multi-perspective Process Mining
• Simulation/optimization for Process Mining
• Predictive Process Analytics
• Prescriptive Process Analytics and Recommender Systems
• Responsible Process Mining
• Privacy-preserving Process Mining
• Process Model Repair
• Process Performance Mining
• Variants/deviance Analysis and Root-cause Analysis
• Visual Process Analytics
• Process Monitoring
• Process Querying and Repositories

Process mining fundamental research

• Formal Foundations of Process Mining
• Comparative and Benchmark Studies on Process Mining
• Conceptual Models Related to Process Mining
• Human-centered Studies on Process Mining
• Process Mining Quality Measures
• Process Mining Guidelines

Process mining applications and case studies in

• Artificial Intelligence
• Blockchain Technologies
• Robotic Process Automation (RPA)
• Chat bots for Process Mining
• Business Activity Monitoring and Business Intelligence
• (Cyber) Security and Privacy
• Operations Management and Lean Six Sigma
• Process Performance Measurement
• Process Reengineering
• Resource Management
• Risk Management
• Sensors, Internet-of-Things (IoT) and Wearable Devices
• Industry 4.0
• Specific domains (such as accounting, finance, government, healthcare, manufacturing, education)

Submission Instructions

Submissions must be original contributions that have not been published previously, nor submitted elsewhere while being submitted to ICPM 2023. All files must be prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5′′ × 11′′ two-column format). The page limit is set to 8 pages (IEEE Format). All papers must be in English. The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

Templates are available for LaTeX and Word at the following link: https://www.ieee.org/conferences/publishing/templates.html.

The paper should be submitted through the ICPM 2023 submission system (https://easychair.org/conferences/?conf=icpm2023) selecting the “Research Track” option.

Each paper will be reviewed by at least 3 program committee members. Afterwards, there will be a discussion period to finalize the decisions.

At least one author of each accepted contribution is expected to register for the conference to present the paper and sign a copyright release form.

Important dates

• Abstract submission: June 6, 2023
• Paper submission (extended): June 13, 2023 June 20, 2023
• Notification: July 25, 2023
• Camera-ready: September 5, 2023
• Conference start: October 24, 2023

Program Committee Chairs

ICPM2023-research@easychair.org

Program Committee

Daniel Amyot, University of Ottawa, Canada
Michael Arias, Universidad de Costa Rica, Costa Rica
Abel Armas Cervantes, The University of Melbourne, Australia
Ahmed Awad, University of Tartu, Estonia
Robin Bergenthum, FernUniversität in Hagen, Germany
Andrea Burattin, Technical University of Denmark, Denmark
Cristina Cabanillas, University of Seville, Spain
Paolo Ceravolo, University of Milan, Italy
Thomas Chatain, LSV, ENS Paris-Saclay, Cachan, France
Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea
Benjamin Dalmas, Centre de Recherche Informatique de Montréal, Canada
Massimiliano de Leoni, University of Padua, Italy
Johannes De Smedt, KU Leuven, Belgium
Jochen De Weerdt, KU Leuven, Belgium
Andrea Delgado, Universidad de la República, Uruguay
Pavlos Delias, International Hellenic University, Greece
Benoît Depaire, Hasselt University, Belgium
Chiara Di Francescomarino, DISI – University of Trento, Italy
Remco Dijkman, Eindhoven University of Technology, Netherlands
Marlon Dumas, University of Tartu, Estonia
Joerg Evermann, Memorial University of Newfoundland, Canada
Dirk Fahland, Eindhoven University of Technology, Netherlands
Carlos Fernandez-Llatas, Universitat Politècnica de València, Spain
Francesco Folino, ICAR-CNR, Italy
Walid Gaaloul, Computer Science Department Télécom SudParis, France
Avigdor Gal, Technion, Israel
Luciano García-Bañuelos, Tecnológico de Monterrey, Mexico
Laura Genga, Eindhoven University of Technology, Netherlands
Oscar González-Rojas, Universidad de los Andes, Colombia
Gianluigi Greco, University of Calabria, Italy
Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine, France
Antonella Guzzo, University of Calabria, Italy
Marwan Hassani, Eindhoven University of Technology, Netherlands
Mieke Jans, Hasselt University, Belgium
Gert Janssenswillen, Universiteit Hasselt, Belgium
Anna Kalenkova, The University of Adelaide, Australia
Agnes Koschmider, Kiel University, Germany
Sander J.J. Leemans, RWTH Aachen, Germany
Henrik Leopold, Kühne Logistics University, Germany
Irina Lomazova, National Research University Higher School of Economics, Russia
Xixi Lu, Utrecht University, Netherlands
Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy
Felix Mannhardt, Eindhoven University of Technology, Netherlands
Niels Martin, Hasselt University, Belgium
Raimundas Matulevicius, University of Tartu, Estonia
Jan Mendling, Humboldt-Universität zu Berlin, Germany
Marco Montali, Free University of Bozen-Bolzano, Italy
Artem Polyvyanyy, The University of Melbourne, Australia
Luigi Pontieri, ICAR, National Research Council of Italy (CNR), Italy
Luise Pufahl, TU Munich, Germany
Hajo A. Reijers, Utrecht University, Netherlands
Manuel Resinas, University of Seville, Spain
Marcos Sepúlveda, Pontificia Universidad Católica de Chile, Chile
Tijs Slaats, University of Copenhagen, Denmark
Pnina Soffer, University of Haifa, Israel
Minseok Song, Pohang University of Science and Technology, South Korea
Arthur ter Hofstede, Queensland University of Technology, Australia
Han van der Aa, University of Mannheim, Germany
Wil van der Aalst, RWTH Aachen University, Germany
Boudewijn van Dongen, Eindhoven University of Technology, Netherlands
Sebastiaan van Zelst, Fraunhofer Institute for Applied Information Technology / RWTH Aachen University, Germany
Eric Verbeek, Eindhoven University of Technology, Netherlands
Barbara Weber, University of St. Gallen, Switzerland
Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
Karolin Winter, Eindhoven University of Technology, Netherlands
Moe Thandar Wynn, Queensland University of Technology, Australia
Francesca Zerbato, University of St. Gallen, Switzerland