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[null,null,"Titolo",null,"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 / / edited by Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-45507-9"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 267 p. 88 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 9817"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Cryptography"]
[{"$nulls":4},"Data encryption (Computer science)"]
[{"$nulls":4},"Electronic commerce"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Data and Information Security"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Cryptology"]
[{"$nulls":4},"e-Commerce and e-Business"]
[{"$nulls":4},"IT in Business"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","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, "]
[{"$nulls":4},"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."]