Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV (eBook, PDF)

Redaktion: Hameurlain, Abdelkader; Riyad, Alshammari; Razzak, Imran; Sakr, Sherif; Wagner, Roland; Küng, Josef

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 133
• Erscheinungstermin: 9. November 2017
• Englisch
• ISBN-13: 9783662561218
• Artikelnr.: 53062239

Inhaltsangabe

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.