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  • Produktbild: Cooperative Information Systems
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Band 14353

Cooperative Information Systems 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 112.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.10.2023

Abbildungen

XX, 508 p. 150 illus., 101 illus. in color.

Herausgeber

Mohamed Sellami + weitere

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23.5/15.5/2.9 cm

Gewicht

791 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-3-031-46845-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.10.2023

Abbildungen

XX, 508 p. 150 illus., 101 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23.5/15.5/2.9 cm

Gewicht

791 g

Auflage

1st ed. 2024

Sprache

Englisch

ISBN

978-3-031-46845-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Cooperative Information Systems
  • Produktbild: Cooperative Information Systems
  • Knowledge Engineering .- Enhancing Fairness and Accuracy in Machine Learning through Similarity Networks.- Considering Vocabulary Mappings in Query Plans for Federations of RDF Data Sources.- AIS – a Metric for assessing the Impact of an Influencer’s Twitter Activity on the Price of a Cryptocurrency.-  Deployment and Migration in CISs .- Managing the Variability of Component Implementations and Their Deployment Configurations Across Heterogeneous Deployment Technologies.- Adaptive Multi-Agent System for Dynamic Clustering Applied to Itineraries Regularities and Traffic Prediction.- Double Deep Q-Network-based Time and Energy-efficient Mobility-aware Workflow Migration Approach.-  Security and Privacy in CISs .- Decentralized and Autonomous Key Management for Open Multi-Agent Systems of Embedded Agents.- An Empirical Study on Socio-technical Modeling for Interdisciplinary Privacy Requirements.- Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations.-  Process Modeling .- Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text.- LABPMN: Location-Aware Business Process Modeling and Notation.- On the Semantic Transparency of Declarative Process Models: The Case of Constraints.-  Process Analytics .- Discovering Guard Stage Milestone models through hierarchical clustering.- Discovery of Workflow Patterns - A Comparison of Process Discovery Algorithm.- From Process Mining Insights to Process Improvement: All Talk and No Action?.- Rectify Sensor Data in IoT: A Case Study on Enabling Process Mining for Logistic Process in an Air Cargo Terminal.- Using Process Mining for Face Validity Assessment in Agent-based Simulation Models: An Exploratory Case Study.-  Human Aspects and Social Interaction in CISs .- Towards Scaling External Feedback for Early-Stage Researchers: A survey study.- Social Network Mining from Natural Language Text and Event Logs for Compliance Deviation Detection.- Learning Hierarchical Robot Skills Represented by Behavior Trees from Natural Language.- Relating Context and Self Awareness in the Internet of Things.-  Work in Progress (WIP) Papers .- BAnDIT: Business Process Anomaly Detection in Transactions.- Resource-Driven Process Manipulation: Modeling Concepts and ValidAllocations.- Graph Collaborative Filtering and Data Augmentation Strategies in Dual-Target CDR.- Clustering Raw Sensor Data in Process Logs to Detect Data Streams.- Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling.- A Requirements Study on Model Repositories for Digital Twins in Construction Engineering.- Joint Dynamic Resource Allocation and Trajectory Optimization for UAV-Assisted Mobile Edge Computing in Internet of Vehicles.- Towards an Improved Unsupervised Graph-based MRI Brain Segmentation Method.- User-friendly exploration of highly heterogeneous data lakes.- Optimizing hospital patient flow by predicting aftercare requests from fuzzy time series.