Table of Contents

• An LLM-Based Q&A Natural Language Interface to Process MiningLuciana Barbieri, Kleber Stroeh, Edmundo R. M. Madeira, Wil M. P. van der Aalst. 5-17 [doi]
• One Language to Rule Them All: Behavioural Querying of Process Data Using SQLJakob Brand, Timotheus Kampik, Cem Okulmus, Matthias Weidlich 0001. 18-30 [doi]
• EVErPREP: Towards an Event Knowledge Graph Enhanced Workflow Model for Event Log PreparationPeter Filipp, Rene Dorsch, Andreas Harth. 31-43 [doi]
• Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event LogsFrederik Fonger, Niclas Nebelung, Arvid Lepsien, Milda Aleknonyte-Resch, Agnes Koschmider. 44-56 [doi]
• Root Cause Analysis Using Rule Mining on Object-Centric Event LogsBenedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst. 57-69 [doi]
• The Jensen-Shannon Distance for Stochastic Conformance CheckingTian Li, Sander J. J. Leemans, Artem Polyvyanyy. 70-83 [doi]
• A Dynamic Programming Approach for Alignments on Process TreesChristopher T. Schwanen, Wied Pakusa, Wil M. P. van der Aalst. 84-97 [doi]
• Constructive Alignment in Process MiningMitchel Brunings, Dirk Fahland, Boudewijn F. van Dongen. 105-116 [doi]
• Understanding Student Behavior Using Active Window Tracking and Process MiningE. R. Mahendrawathi, Wouter van der Waal, Iris Beerepoot, M. Aqmal R. R. Putra, Hardhika Propitadewa. 117-128 [doi]
• Measuring Skill Acquisition and Retention: A Case Study of Math FluencyGert Janssenswillen, Seppe Van Daele, Marc Van Daele. 129-141 [doi]
• Assessing the Impact of Exam Preparation Process on Students' CareersDomenico Potena, Laura Genga, Lorenzo Galeazzi, Gianmarco Vigano, Claudia Diamantini. 142-153 [doi]
• Evaluation of Study Plans Using Partial OrdersChristian Rennert, Mahsa Pourbafrani, Wil M. P. van der Aalst. 154-166 [doi]
• Towards Standardized Modeling of Collaboration Processes in Collaboration Process DiscoveryJanik-Vasily Benzin, Stefanie Rinderle-Ma. 171-183 [doi]
• Revealing One-to-Many Event Relationships in Event Knowledge GraphsAlessio Giacché, Sara Pettinari, Lorenzo Rossi 0001. 184-196 [doi]
• On the Impact of Low-Quality Activity Labels in Predictive Process MonitoringMarco Comuzzi, Sungkyu Kim, Jonghyeon Ko, Musa Salamov, Cinzia Cappiello, Barbara Pernici. 201-213 [doi]
• Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process MonitoringMarc C. Hennig. 214-226 [doi]
• Predictions in Predictive Process Monitoring with Previously Unseen Categorical ValuesJohannes Roider, Weixin Wang, Dario Zanca, Martin Matzner, Bjoern M. Eskofier. 227-239 [doi]
• Differentially Private Event Logs with Case AttributesHannes Ueck, Robert Andrews 0001, Moe Thandar Wynn, Sander J. J. Leemans. 240-252 [doi]
• CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process MonitoringBrecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt. 253-266 [doi]
• CC-HIT: Creating Counterfactuals from High-Impact TransitionsZhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, Thomas Seidl 0001. 267-278 [doi]
• Multivariate Approaches for Process Model ForecastingYongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt. 279-292 [doi]
• Enhancing Predictive Process Monitoring Using Semantic InformationJiaxin Yuan, Daniela Grigori, Han van der Aa. 293-305 [doi]
• A Classification of Data Quality Issues in Object-Centric Event DataMaike Basmer, Martin Kabierski, Kristina Sahling, Agnieszka Patecka, Saimir Bala, Jan Mendling. 311-323 [doi]
• Analyzing the Evolution of Boards in Collaborative Work Management ToolsAlfonso Bravo, Cristina Cabanillas, Joaquín Peña, Manuel Resinas. 324-336 [doi]
• Extending Process Intelligence with Quantity-Related Process MiningNina Graves, Tobias Brockhoff, István Koren, Wil M. P. van der Aalst. 337-349 [doi]
• Ranking the Top-K Realizations of Stochastically Known Event LogsArvid Lepsien, Marco Pegoraro 0001, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider. 350-362 [doi]
• Framework for Extracting Real-World Object-Centric Event Logs from Game DataLukas Liss, Nico Elbert, Christoph M. Flath, Wil M. P. van der Aalst. 363-375 [doi]
• Object-Centric Local Process ModelsViki Peeva, Marvin Porsil, Wil M. P. van der Aalst. 376-388 [doi]
• Locally Optimized Process Tree DiscoveryCalvin Schröder, Jan Niklas van Detten, Sander J. J. Leemans. 389-401 [doi]
• A Framework for Advanced Case Notions in Object-Centric Process MiningJan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans. 402-414 [doi]
• Predicting Unplanned Hospital Readmissions Using Outcome-Oriented Predictive Process MiningAbdulaziz Aljebreen, Allan Pang, Marc de Kamps, Owen A. Johnson. 421-433 [doi]
• Structural and Semantic Enrichment of Models for the Interactive Discovery of Clinical ProcessesJose-Luis Bayo-Monton, Begoña Martínez-Salvador, Carlos Fernández-Llatas, Mar Marcos. 434-446 [doi]
• Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based ReasoningJoscha Grüger, Martin Kuhn, Karim Amri, Ralph Bergmann. 447-459 [doi]
• Analysing Disease Trajectories of Multimorbidity Through Process Mining Techniques: A Case StudyDaniel Petrov, Thu Nguyen, Areti Manataki, Colin McCowan. 460-472 [doi]
• Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case StudyMozhgan Vazifehdoostirani, Andrei Buliga 0001, Laura Genga, Rob Verhoeven, Remco M. Dijkman. 473-485 [doi]
• Case Study: Insights on Prostate Cancer Treatment Pathways Using Process DiscoveryJana Vormann, Jonas Blatt, Flavio Horbach, Nils Herm-Stapelberg, Lukas Mittnacht, Patrick Delfmann, Tobias Walter, Sven Pagel. 486-499 [doi]
• A Taxonomy for Conformance Checking VisualizationsMarie-Christin Häge, Jana-Rebecca Rehse. 507-519 [doi]
• Structuring Empirical Research on Process Mining at the Individual Level Using the Theory of Effective UseJan Mendling, Mieke Jans, Kristina Sahling. 520-532 [doi]
• Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case StudyFrancesca Meneghello 0002, Massimo Coletti, Debora Di Marco, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini. 533-545 [doi]
• Leveraging Process Mining on the Shop Floor: An Exploratory StudyFelix Rothhagen, Felix Kerst, Eduard Kant Mandal, Candan Çetin, Carolin Ullrich. 546-558 [doi]
• Using Facial Expressions to Predict Process Mining Task PerformanceLital Shalev, Irit Hadar, Rotem Dror, Adir Solomon, Elizaveta Sorokina, Michal Weisman Raymond, Pnina Soffer. 559-571 [doi]
• Using Process Mining with Pre- and Post-intervention Analysis to Improve Digital Service Delivery: A Governmental Case StudyJacques Trottier, William Van Woensel, Xiaoyang Wang, Kavya Mallur, Najah Mary El-Gharib, Daniel Amyot. 572-585 [doi]
• Towards an Ethogram of Exploratory Process Mining BehaviorJessica Van Suetendael, Benoît Depaire, Mieke Jans, Niels Martin. 586-598 [doi]
• Local Large Language Models for Business Process ModelingKaan Apaydin, Yorck Zisgen. 605-609 [doi]
• PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining TasksAlessandro Berti 0001, Humam Kourani, Wil M. P. van der Aalst. 610-623 [doi]
• Terpsichora: A Tool to Generate Synthetic MP-Declare Process ModelsWesley Da Silva Santos, Juliana Rezende Coutinho, Fernanda Baião, Georges Miranda Spyrides, Hélio Côrtes Vieira Lopes. 624-636 [doi]
• Process Modeler vs. Chatbot: Is Generative AI Taking over Process Modeling?Nataliia Klievtsova, Janik-Vasily Benzin, Juergen Mangler, Timotheus Kampik, Stefanie Rinderle-Ma. 637-649 [doi]
• Skill Learning Using Process Mining for Large Language Model Plan GenerationAndrei Cosmin Redis, Mohammadreza Fani Sani, Bahram Zarrin, Andrea Burattin. 650-662 [doi]
• Providing Domain Knowledge for Process Mining with ReWOO-Based AgentsMax W. Vogt, Peter van der Putten, Hajo A. Reijers. 663-676 [doi]
• Detect and Conquer: Template-Based Analysis of Processes Using Complex Event ProcessingChristian Imenkamp, Samira Akili, Matthias Weidlich 0001, Agnes Koschmider. 681-692 [doi]
• Task-Free Continual Learning with Dynamic Loss for Online Next Activity PredictionTamara Verbeek, Ruozhu Yao, Marwan Hassani. 693-705 [doi]
• Process Mining Guidelines for Greenhouse Gas Emission Management in Production ProcessesIoana Costache, Oktay Turetken, Banu Aysolmaz, Karolin Winter. 711-724 [doi]
• Sustainability Analysis Patterns for Process Mining and Process Modelling ApproachesAndreas Fritsch. 725-737 [doi]
• Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business ProcessesCielo González Moyano, Finn Klessascheck, Saimir Bala, Stephan A. Fahrenkrog-Petersen, Jan Mendling. 738-750 [doi]
• Extending Genetic Process Discovery to Reveal Unfairness in ProcessesMuskan, Felix Mannhardt, Boudewijn F. van Dongen. 751-763 [doi]
• Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses?Dominik Schäfer, Finn Klessascheck, Timotheus Kampik, Luise Pufahl. 764-777 [doi]