05949nam a22006855i 4500 978-3-031-70396-6 DE-He213 20251030112929.0 cr nn 008mamaa 240901s2024 sz | s |||| 0|eng d 9783031703966 978-3-031-70396-6 10.1007/978-3-031-70396-6 doi QA75.5-76.95 UNH bicssc UND bicssc COM030000 bisacsh UNH thema UND thema Business Process Management [electronic resource] : 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings / edited by Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXXVI, 550 p. 136 illus., 90 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14940 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. 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. . . Information storage and retrieval systems. 65568 Data structures (Computer science). 66708 Information theory. 57783 Data mining. 6941 Algorithms. 58677 Electronic commerce. Information technology Management. 57223 Information Storage and Retrieval. 65570 Data Structures and Information Theory. 66709 Data Mining and Knowledge Discovery. Design and Analysis of Algorithms. 67299 e-Commerce and e-Business. Computer Application in Administrative Data Processing. 66531 Marrella, Andrea. editor. (orcid)0000-0002-1031-0374 https://orcid.org/0000-0002-1031-0374 edt http://id.loc.gov/vocabulary/relators/edt 83147 Resinas, Manuel. editor. (orcid)0000-0003-1575-406X https://orcid.org/0000-0003-1575-406X edt http://id.loc.gov/vocabulary/relators/edt 83148 Jans, Mieke. editor. (orcid)0000-0002-9171-2403 https://orcid.org/0000-0002-9171-2403 edt http://id.loc.gov/vocabulary/relators/edt 83149 Rosemann, Michael. editor. (orcid)0000-0003-3303-2896 https://orcid.org/0000-0003-3303-2896 edt http://id.loc.gov/vocabulary/relators/edt 83150 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031703959 Printed edition: 9783031703973 Lecture Notes in Computer Science, 1611-3349 ; 14940 https://doi.org/10.1007/978-3-031-70396-6 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 62989 62989