| 000 | 02844nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-57358-8 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221914.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170517s2017 sz | s |||| 0|eng d | ||
| 020 |
_a9783319573588 _9978-3-319-57358-8 |
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| 024 | 7 |
_a10.1007/978-3-319-57358-8 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aTorra, Vicenç. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _958637 |
|
| 245 | 1 | 0 |
_aData Privacy: Foundations, New Developments and the Big Data Challenge _h[electronic resource] / _cby Vicenç Torra. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
| 300 |
_aXIV, 269 p. 22 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Big Data, _x2197-6511 ; _v28 |
|
| 505 | 0 | _aIntroduction -- 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 | _aThis 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. | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 710 | 2 |
_aSpringerLink (Online service) _958638 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319573564 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319573571 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319861418 |
| 830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v28 _958639 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-57358-8 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80184 _d80184 |
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