BPM2024 Main Tracks Program – 22nd Business Process Management Conference 2024 in Krakow

Main session 1: Predictive and Prescriptive Monitoring
Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco Dijkman, Chiara Di Francescomarino, Chiara Ghidini and Hajo A. Reijers. Uncovering patterns for local explanations in outcome-based Predictive Process Monitoring
Martin Käppel, Lars Ackermann, Stefan Jablonski and Simon Härtl. Attention Please: What Transformer Models Really Learn for Process Prediction
Johannes Roider, Dario Zanca and Björn Eskofier. Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte and Marlon Dumas. Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring

Main session 2: Process models
Flavio Corradini, Jessica Piccioni, Barbara Re, Lorenzo Rossi and Francesco Tiezzi. On the interplay between BPMN collaborations and the physical environment
Francesco Vinci and Massimiliano de Leoni. Repairing Process Models through Simulation and Explainable AI
Marco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber, Hugo A. López and Barbara Weber. Exploring the Cognitive Effects of Ambiguity in Process Models

Main session 3: Event data analysis
Alexander Kraus and Han van der Aa. Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining
Kiran Busch, Timotheus Kampik and Henrik Leopold. xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models
Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald and Thomas Seidl. GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining

Main session 4: Conformance Checking
Ivan Donadello, Paolo Felli, Fabrizio Maria Maggi, Marco Montali and Craig Innes. Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications
Alessandro Burigana, Alessandro Gianola, Marco Montali and Sarah Winkler. Glocal Conformance Checking
Eduardo Goulart Rocha, Sebastiaan Johannes van Zelst and Wil van der Aalst. Mining Behavioral Patterns for Conformance Diagnostics
Michael Grohs, Han van der Aa and Jana-Rebecca Rehse. Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns

Main session 5: Resource Management

Alessandro Padella, Felix Mannhardt, Francesco Vinci, Massimiliano de Leoni and Irene Vanderfeesten.
Experience Based Resource Allocation for Remaining Time Optimization

Francesca Meneghello, Jeroen Middelhuis, Massimiliano Ronzani, Laura Genga, Zaharah Bukhsh, Chiara Di Francescomarino, Chiara Ghidini and Remco Dijkman.
Optimizing Resource Allocation Policies in Real-World Business Processes using Hybrid Process Simulation and Deep Reinforcement Learning

Felix Schumann and Stefanie Rinderle-Ma.
Optimizing Resource-Driven Process Configuration through Genetic Algorithms

Main session 6: Process Discovery

Jan Niklas van Detten, Pol Schumacher and Sander J.J. Leemans.
Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets

Harry Herbert Beyel and Wil van der Aalst.
Improving Process Discovery Using Translucent Activity Relationships

Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris and Marco Comuzzi.
Exploiting general purpose big-data frameworks in process mining: the case of declarative process discovery

Main session 7: Process Analysis and Optimization

Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park and Wil van der Aalst.
Super Variants

Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko and Marlon Dumas.
LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior and Paolo Ceravolo.
CoSMo: a Framework to Instantiate Conditioned Process Simulation Models

Main session 8: Data and BPM
Cheng Miao, Heemeng Ho, Elinor Tsen, John Gilmour and Ryan Kl Ko. SCP-BP Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes
Joscha Grüger, Martin Kuhn, Christoph Matheja and Andrey Rivkin. Data Petri Nets Meet Probabilistic Programming
Yotam Evron, Anna Zamansky and Pnina Soffer. Anticipating Data Inaccuracy Consequences in Business Processes: An Empirical Study

Main session 9: Robotic Process Automation
Artur Modlinski, Damian Kedziora, Joanna Kedziora, Andrzej Hak, Jaroslaw Motylewski, Hajo A. Reijers and Adela del-Río-Ortega. Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes
Antonio Martínez Rojas, Antonio Rodríguez-Ruiz, José González Enríquez and Andrés Jiménez Ramírez. What’s Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs
Maximilian Vitzethum, Alexander Mayr and Christian Janiesch. Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges