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

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

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

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

Overview

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.

Product Details

ISBN-13: 9783662561201
Publisher: Springer Berlin Heidelberg
Publication date: 11/22/2017
Series: Lecture Notes in Computer Science , #10680
Edition description: 1st ed. 2017
Pages: 133
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.

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