22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings Marrella, Andrea. editor. edt http://id.loc.gov/vocabulary/relators/edt Resinas, Manuel. editor. edt http://id.loc.gov/vocabulary/relators/edt Jans, Mieke. editor. edt http://id.loc.gov/vocabulary/relators/edt Rosemann, Michael. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XXXVI, 550 p. 136 illus., 90 illus. in color. online resource. This book constitutes the refereed proceedings of the 22nd International Conference on Business Process Management, BPM 2024, which took place in Krakow, Poland, in September 2024. The 29 full papers included in this book were carefully reviewed and selected from 144 submissions. They were organized in topical sections as follows: Foundations; Engineering; and Management. . . 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 -- What’s 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. edited by Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann. Information storage and retrieval systems Data structures (Computer science) Information theory Data mining Algorithms Electronic commerce Information technology Management Information Storage and Retrieval Data Structures and Information Theory Data Mining and Knowledge Discovery Design and Analysis of Algorithms e-Commerce and e-Business Computer Application in Administrative Data Processing QA75.5-76.95 9783031703966 https://doi.org/10.1007/978-3-031-70396-6 https://doi.org/10.1007/978-3-031-70396-6 240901 20251030112929.0 978-3-031-70396-6