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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV de Abdelkader Hameurlain

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV: Lecture Notes in Computer Science, cartea 10680

Editat de Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Imran Razzak, Alshammari Riyad
en Limba Engleză Paperback – 22 noi 2017
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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Specificații

ISBN-13: 9783662561201
ISBN-10: 3662561204
Pagini: 138
Ilustrații: IX, 133 p. 31 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2017
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Large-Scale Data- and Knowledge-Centered Systems

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

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.

Textul de pe ultima copertă

LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the35th 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.

Caracteristici

Covers topics ranging from social-data artifacts to predictive models and e-health Discusses data quality and data privacy Includes application areas such as the Estonian public sector as well as healthcare organizations in Saudi Arabia Includes supplementary material: sn.pub/extras