Business Process Management: 22nd International Conference, BPM 2024, Krakow, Poland, September 16, 2024, Proceedings 2024 ed. [Pehme köide]

Foundations.- Optimizing Resource-Driven Process Configuration through
Genetic Algorithms.- Data Petri Nets meet Probabilistic Programming.-
Conformance Checking of Fuzzy Logs against Declarative Temporal
Specifications.- Object Synchronizations and Specializations with Silent
Objects in Object-Centric Petri Nets.- Glocal Conformance Checking.- On the
interplay between BPMN collaborations and the physical environment.- Super
Variants.- Repairing Process Models through Simulation and Explainable AI.-
Improving Process Discovery Using Translucent Activity Relationships.-
Engineering.- Optimizing Resource Allocation Policies in Real-World Business
Processes using Hybrid Process Simulation and Deep Reinforcement Learning.-
Exploiting general purpose big-data frameworks in process mining: the case of
declarative process discovery.- Attention Please: What Transformer Models
Really Learn for Process Prediction.- GEDI: Generating Event Data with
Intentional Features for Benchmarking Process Mining.- Efficient Training of
Recurrent Neural Networks for Remaining Time Prediction in Predictive Process
Monitoring.- Whats Behind the Screen? Unveiling UI Hierarchies in
Process-Related UI Logs.- Looking for Change: A Computer Vision Approach for
Concept Drift Detection in Process Mining.- Mining Behavioral Patterns for
Conformance Diagnostics.- xSemAD: Explainable Semantic Anomaly Detection in
Event Logs Using Sequence-to-Sequence Models.- CoSMo: a Framework to
Instantiate Conditioned Process Simulation Models.- Experience Based Resource
Allocation for Remaining Time Optimization.- Uncovering patterns for local
explanations in outcome-based Predictive Process Monitoring.- Beyond Log and
Model Moves in Conformance Checking: Discovering Process-Level Deviation
Patterns.- Management.- Explanatory Capabilities of Large Language Models in
Prescriptive Process Monitoring.- Categories of Business Value of Robotic
Process Automation: A Study of Benefits and Challenges.- Anticipating Data
Inaccuracy Consequences in Business Processes: An Empirical Study.- SCP-BP
Framework: Situational Crime Prevention for Managing Data Breaches in
Business Processes.- LLM-Assisted Optimization of Waiting Time in Business
Processes: A Prompting Method.- Exploring the Cognitive Effects of Ambiguity
in Process Models.- Techno-empowerment of Process Automation: Understanding
Employee Acceptance of Autonomous AI in Business Processes.