From Data to Models and Back

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Details

This book constitutes revised selected papers of the 12th International Symposium on From Data Models and Back, DataMod 2024, held in Aveiro, Portugal, during November 45, 2024.

The 9 full papers included in this book were carefully reviewed and selected from 15 submissions. These papers present research results in the areas of knowledge management, data mining and machine learning, as well as application experiences, tools and promising preliminary ideas.


Inhalt

.- A Critique on Transductive Evaluation for GNN Node Classification.
.- Gene Importance Assessment based on Shapley Values for Boolean Networks: Validation and Scalability Analysis.
.- Modelling COVID 19 with a SIR Variant using Real-World Data: a Case Study in Brazil.
.- Verifying properties of Activities of Daily Living.
.- Explaining Pain: on the Impact of Physiological Signals in Pain Prediction.
.- Exploring the Trade Offs in ECG Biometrics: Impact of Acquisition Time and Temporal Separation.
.- Risk Management and Process Optimization in Industry 4.0: Integrating Sensors with Critical Path and FMEA.
.- Beyond Flattening: Detecting Concurrency Anomalies Using K NN Graph-based Modeling in Object Centric Event Logs.
.- Towards Achieving Energy Efficiency and Service Availability in 6G O RAN via Formal Verification.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031879074
    • Genre Information Technology
    • Editor Ricardo M. Czekster, Paolo Milazzo
    • Lesemotiv Verstehen
    • Anzahl Seiten 159
    • Größe H235mm x B155mm
    • Jahr 2025
    • EAN 9783031879074
    • Format Kartonierter Einband
    • ISBN 978-3-031-87907-4
    • Veröffentlichung 19.04.2025
    • Titel From Data to Models and Back
    • Untertitel 12th International Symposium, DataMod 2024, Aveiro, Portugal, November 45, 2024, Revised Selected Papers
    • Herausgeber Springer Nature Switzerland
    • Sprache Englisch

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