From Data to Models and Back (eBook, PDF)

12th International Symposium, DataMod 2024, Aveiro, Portugal, November 4-5, 2024, Revised Selected Papers
Redaktion: Czekster, Ricardo M.; Milazzo, Paolo

• Format: PDF

Produktbeschreibung

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 4-5, 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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 159
• Erscheinungstermin: 18. April 2025
• Englisch
• ISBN-13: 9783031879081
• Artikelnr.: 73912553

Inhaltsangabe

.- 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.