Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV

1. Auflage 2017
ISBN: 978-3-662-56120-1
Verlag: Springer

Buch, Englisch, 133 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g

Reihe: Transactions on Large-Scale Data- and Knowledge-Centered Systems

This volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.

Zielgruppe

Research

Autoren/Hrsg.

Hameurlain, Abdelkader

Küng, Josef

Wagner, Roland

Sakr, Sherif

Razzak, Imran

Riyad, Alshammari

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

The Data Quality Framework for the Estonian Public Sector and Its Evaluation.- Bridging the Gap between the Business and Social Worlds: A Data Artifact-Driven Approach.- Privacy-Preserving Querying on Privately Encrypted Data in the Cloud.- Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply.- Cloud Computing Adoption in Healthcare Organisations: A Qualitative Study in Saudi Arabia.