Availability, Reliability, and Security in Information Systems [electronic resource] : 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 / edited by Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl.
Contributor(s): Buccafurri, Francesco [editor.] | Holzinger, Andreas [editor.] | Kieseberg, Peter [editor.] | Tjoa, A Min [editor.] | Weippl, Edgar [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 9817Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XII, 267 p. 88 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319455075.Subject(s): Computer science | Information technology | Business -- Data processing | Computer security | Data encryption (Computer science) | Information storage and retrieval | E-commerce | Computer Science | Information Systems Applications (incl. Internet) | Systems and Data Security | Information Storage and Retrieval | Data Encryption | e-Commerce/e-business | IT in BusinessAdditional physical formats: Printed edition:: No titleDDC classification: 005.7 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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