• Produktbild: Cooperative Information Systems
  • Produktbild: Cooperative Information Systems
Band 14353 - 12%

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

12% sparen

76,99 € UVP 87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.10.2023

Herausgeber

Mohamed Sellami + weitere

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Auflage

1st edition 2024

Sprache

Englisch

ISBN

978-3-031-46845-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.10.2023

Herausgeber

Verlag

Springer

Seitenzahl

508

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Auflage

1st edition 2024

Sprache

Englisch

ISBN

978-3-031-46845-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • 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.