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

Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Imran Razzak, Alshammari Riyad (Herausgeber)

Buch | Softcover

IX, 133 Seiten

2017 | 1st ed. 2017
Springer Berlin (Verlag)
978-3-662-56120-1 (ISBN)

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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.

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.

Erscheinungsdatum	03.12.2017
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Transactions on Large-Scale Data- and Knowledge-Centered Systems
Zusatzinfo	IX, 133 p. 31 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	229 g
Themenwelt	Informatik ► Netzwerke ► Sicherheit / Firewall
Schlagworte	ANFIS • Applications • Business Process • business process management • Cloud Computing • Computer Science • Computer systems • conference proceedings • cryptography • Data Management • Data Mining • data privacy • Data Security • differential privacies • Fuzzy Inference • Fuzzy Sets • Informatics • Information Management • information systems • privacy • privacy preserving • Quality Models • Research
ISBN-10	3-662-56120-4 / 3662561204
ISBN-13	978-3-662-56120-1 / 9783662561201
Zustand	Neuware