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Lecture Notes in Computer Science Ser.: 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 by Andreas Holzinger (2016, Trade Paperback)
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About this product
Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-103319455060
ISBN-139783319455068
eBay Product ID (ePID)240380092
Product Key Features
Number of PagesXii, 267 Pages
Publication NameAvailability, 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
LanguageEnglish
SubjectComputer Science, Security / General, System Administration / Storage & Retrieval, Enterprise Applications / General
Publication Year2016
TypeTextbook
AuthorAndreas Holzinger
Subject AreaComputers
SeriesLecture Notes in Computer Science Ser.
FormatTrade Paperback
Dimensions
Item Height0.6 in
Item Weight150.9 Oz
Item Length9.2 in
Item Width6.1 in
Additional Product Features
Intended AudienceTrade
Dewey Edition23
Series Volume Number9817
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal005.8
SynopsisThis 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.
LC Classification NumberQA76.76.A65
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