Data Privacy: Foundations, New Developments and the Big Data Challenge (Record no. 80184)
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000 -LEADER | |
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fixed length control field | 02844nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-57358-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221914.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170517s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319573588 |
-- | 978-3-319-57358-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Torra, Vicenç. |
245 10 - TITLE STATEMENT | |
Title | Data Privacy: Foundations, New Developments and the Big Data Challenge |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 269 p. 22 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Big Data, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Machine and Statistical Learning -- On the Classification of Protection Procedures -- User’s privacy -- Privacy Models and Disclosure Risk Measures -- Masking methods -- Information loss: evaluation and measures -- Selection of masking methods -- Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-57358-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
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-- | text |
-- | txt |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2197-6511 ; |
912 ## - | |
-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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