Buch, Englisch, Band 14940, 550 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 879 g
22nd International Conference, BPM 2024, Krakow, Poland, September 1¿6, 2024, Proceedings
Buch, Englisch, Band 14940, 550 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 879 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-70395-9
Verlag: Springer Nature Switzerland
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.
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Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
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.
