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

Francesco Buccafurri

ISBN 10: 3319455060 / ISBN 13: 9783319455068

Verlag: Springer International Publishing, 2016

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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 Workshopon 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.

Bestandsnummer des Verkäufers 9783319455068

Bibliografische Details

• Titel: 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
• Verlag: Springer International Publishing
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 3319455060
• ISBN-13: 9783319455068
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.