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| Link zu diesem Datensatz | https://d-nb.info/1340732262 |
| Art des Inhalts | Konferenzschrift |
| Titel | Business Process Management : 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings / edited by Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann |
| Person(en) |
Marrella, Andrea (Herausgeber) Resinas, Manuel (Herausgeber) Jans, Mieke (Herausgeber) Rosemann, Michael (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXVI, 550 p. 136 illus., 90 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-70395-9 Printed edition:: ISBN: 978-3-031-70397-3 |
| Inhalt | 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2409020413300.612389415549 DOI: 10.1007/978-3-031-70396-6 |
| URL | https://doi.org/10.1007/978-3-031-70396-6 |
| ISBN/Einband/Preis | 978-3-031-70396-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 14940 |
| DDC-Notation | 658.5 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 650 Management |
| Online-Zugriff | Archivobjekt öffnen |
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