Accepted Papers

Below is the list of papers accepted in the different tracks of ICPM.

Main track

  • A Context Framework for Sense-making of Process Mining Results. Thomas Grisold, Han van der Aa, Sandro Franzoi, Sophie Hartl, Jan Mendling and Jan Vom Brocke.
  • AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation. Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa and Heiner Stuckenschmidt.
  • Assessing Process Mining Techniques: a Ground Truth Approach. Dominique Sommers, Natalia Sidorova and Boudewijn van Dongen.
  • Decomposing Process Performance based on Actor Behavior. Eva Klijn, Irina Tentina, Dirk Fahland and Felix Mannhardt.
  • Differentially Private Inductive Miner. Max Schulze, Yorck Zisgen, Moritz Kirschte, Esfandiar Mohammadi and Agnes Koschmider.
  • Discovering Changes in Cell Stability Using Process Mining: A Case Study. Johnson Zhou, Abel Abel Armas Cervantes, Zahra Dasht Bozorgi, Ellen Otte and Artem Polyvyanyy.
  • Discovering Compact, Live and Identifier-Sound Object-Centric Process Models. Jan Niklas van Detten, Pol Schumacher and Sander J.J. Leemans.
  • Discovery and Simulation of Data-Aware Business Processes. Orlenys López-Pintado, Serhii Murashko and Marlon Dumas.
  • Discovery of Object-Centric Declarative Models. Axel Christfort, Andrey Rivkin, Dirk Fahland, Thomas Hildebrandt and Tijs Slaats.
  • Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks. Adrian Rebmann, Fabian David Schmidt, Goran Glavaš and Han van der Aa.
  • Generating the traces you need: a conditional generative model for Process Mining data. Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello and Luigi Pontieri.
  • LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. Vincenzo Pasquadibisceglie, Annalisa Appice and Donato Malerba.
  • Navigating Complexity: Comparing Complexity Measures with Weyuker’s Properties. Patrizia Schalk, Adam Burke and Robert Lorenz.
  • Online Resource Allocation to Process Tasks under Uncertain Resource Availabilities. Michel Kunkler and Stefanie Rinderle-Ma.
  • Process-Aware Bayesian Networks for Sequential Event Log Queries. Simon Rauch, Christian Frey, Ludwig Zellner and Thomas Seidl.
  • Stochastic Conformance Checking Based On Expected Sub-Trace Frequency. Eduardo Goulart Rocha, Sander J.J. Leemans and Wil van der Aalst.
  • Structural Process Variety and Standardization. Clemens Schreiber and Amine Abbad Andaloussi.
  • SuTraN: an Encoder-Decoder Transformer for Full Context-Aware Suffix Prediction of Business Processes. Brecht Wuyts, Seppe Vanden Broucke and Jochen De Weerdt.
  • The Role of Log Representativeness in Estimating Generalization in Process Mining. Anandi Karunaratne, Artem Polyvyanyy and Alistair Moffat.
  • Towards Full Population Testing in Auditing: How Many Process Deviations Should Be Labeled? Manal Laghmouch, Benoît Depaire and Mieke Jans.
  • Wasserstein Weight Estimation for Stochastic Petri Nets. Tobias Brockhoff, Merih Seran Uysal and Wil van der Aalst.

Innovation Track

  • Event Knowledge Graphs with Ambiguity. Marco Franceschetti, Dominik Buchegger, Ronny Seiger and Barbara Weber
  • Framework for Extracting Real-World Object-Centric Event Logs from Game Data. Lukas Liss, Nico Elbert, Christoph M. Flath and Wil van der Aalst
  • Monitoring Cultivation Processes with Uncertain States using Remote Sensing. Man Tuen Chan, Stephan Fahrenkrog-Petersen and Jan Mendling
  • Providing domain knowledge for process mining with ReWOO-based agents. Max Vogt, Peter Van der Putten and Hajo A. Reijers
  • Towards an Ethogram of Exploratory Process Mining Behavior. Jessica Van Suetendael, Benoît Depaire, Mieke Jans and Niels Martin
  • WISE: Unraveling Business Process Metrics with Domain Knowledge. Urszula Jessen and Dirk Fahland

Demos

The demos have been arranged by topic.

Event log generation and manipulation (Room 15)
  • Distributed Event Factory: A Tool for Generating Event Streams on Distributed Data Sources. H. Reiter, C. Imenkamp, A. Koschmider and W. Hasselbring
  • iGEDI: interactive Generating Event Data with Intentional Features. A. Maldonado, S. Anirudh Aryasomayajula, C. M. M. Frey and T. Seidl
  • LogPPL: A Tool for Probabilistic Process Mining. M. Kuhn, J. Grüger, C. Matheja and A. Rivkin
  • Python-JXES: Python Implementation of JSON Serialization for XES Standard. M. Vidgof
  • Work Tagger: A Labelling Companion. M. Resinas, R. Goñi-Medina, I. Beerepoot, A. del-Río-Ortega and H. A. Reijers
Frameworks, platforms and editors (Room 16)
  • CONFINE: Preserving data secrecy in decentralized process mining. V. Goretti, D. Basile, L. Barbaro and C. Di Ciccio
  • Process Analytics Workbench (PAW). W. Wang, E. Amann, M. Matzner and P. Delfmann
  • EDD: A Web-Based Editor for Declarative Process Models Using easyDeclare. G. Blasilli, L. Ferro, S. Lenti, F.M. Maggi, A. Marrella and T. Catarci
  • Ebi – a Stochastic Process Mining Framework. S. J.J. Leemans, T. Li and J. N. van Detten
  • DCR4Py: A PM4Py Library extension for Declarative Process Mining in Python. S. V.H. Hermansen, R. Jónsson, J. L. Kjeldsen, T. Slaats, V. P. Cosma and H. A. López-Acosta
  • ProM4Py – A Python Wrapper For The ProM Framework. H. Kammerling, E. Goulart Rocha and W. van der Aalst
Process discovery, compliance, and analysis (Room 18)
  • Journey-to-Process Analytics: Fusing Experience with Operations Data. A. Rochlitzer, M. Meindl, R. Hadian, G. Hakomaki II, H. Leopold
  • Apromore Compliance Center: A No-Code Solution to Process Compliance Management. N. Adams, A. Augusto, M. Davern and M. La Rosa
  • Entropia: Measuring Log Representativeness and Generalization of Discovered Process Models. A. Karunaratne, A. Polyvyanyy and A. Moffat
  • SWORD Extractor Pulling Workarounds out the Eventlog. W. van der Waal, I. van de Weerd and H. A. Reijers
  • DIS-PIPE: A Tool for Data Pipeline Discovery. S. Agostinelli, D. Benvenuti, J. Rossi and A. Marrella
  • dynamik: A tool for performance drift detection in business processes. V. Gallego-Fontenla, F. Milani and M. Dumas
  • The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. M. Naeimaei Aali, F. Mannhardt and P. Toussaint
Simulation and visualization (Room 19)
  • Simulating Environmental Impacts of Business Processes with SimuBridge and the SOPA Framework. F. Klessascheck, L. Bein and L. Pufahl
  • CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes. F. Hake, S. Schneider, N. Theofanopoulos, C. Gonzalez, P. Sie Chuah, M. Grohs and J.-R. Rehse
  • EduClare – An Intelligent Tutoring Chatbot for Teaching Declarative Process Modeling. S. Nagel, A. Wolters, D.M. Riehle and P. Delfmann
  • Building Process Mining Dashboards Manually or AI-assisted with Celonis Views. C. Ullrich, T. Lata and G. Benton
  • A Taste of the Different Flavors of Tiramisù. A. Alman, A. Arleo, I. Beerepoot, A. Burattin, C. Di Ciccio and M. Resinas
  • 3DCR: A Tool for Immersive Process Mining. J. Caballero Villalobos, H. A. López-Acosta and S. James Jensen