Availability, Reliability, and Security in Information Systems IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings /

This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Buccafurri, Francesco (Editor ), Holzinger, Andreas (Editor ), Kieseberg, Peter (Editor ), Tjoa, A Min (Editor ), Weippl, Edgar (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 9817
Temas:
Application software.
Data protection.
Information storage and retrieval systems.
Cryptography.
Data encryption (Computer science).
Electronic commerce.
Business information services.
Computer and Information Systems Applications.
Data and Information Security.
Information Storage and Retrieval.
Cryptology.
e-Commerce and e-Business.
IT in Business.
Acceso en línea:Texto Completo
Descripción
Sumario:This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science.
Descripción Física:XII, 267 p. 88 illus. online resource.
ISBN:9783319455075

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