Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Data privacy = foundations, new deve...
~
SpringerLink (Online service)
Data privacy = foundations, new developments and the big data challenge /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data privacy/ by Vicenc Torra.
Reminder of title:
foundations, new developments and the big data challenge /
Author:
Torra, Vicenc.
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xiv, 269 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Data protection. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-57358-8
ISBN:
9783319573588
Data privacy = foundations, new developments and the big data challenge /
Torra, Vicenc.
Data privacy
foundations, new developments and the big data challenge /[electronic resource] :by Vicenc Torra. - Cham :Springer International Publishing :2017. - xiv, 269 p. :ill., digital ;24 cm. - Studies in big data,v.282197-6503 ;. - Studies in big data ;v.1..
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.
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.
ISBN: 9783319573588
Standard No.: 10.1007/978-3-319-57358-8doiSubjects--Topical Terms:
557764
Data protection.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Data privacy = foundations, new developments and the big data challenge /
LDR
:02015nam a2200325 a 4500
001
885431
003
DE-He213
005
20171226165013.0
006
m d
007
cr nn 008maaau
008
180530s2017 gw s 0 eng d
020
$a
9783319573588
$q
(electronic bk.)
020
$a
9783319573564
$q
(paper)
024
7
$a
10.1007/978-3-319-57358-8
$2
doi
035
$a
978-3-319-57358-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.A25
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
005.8
$2
23
090
$a
QA76.9.A25
$b
T688 2017
100
1
$a
Torra, Vicenc.
$3
768409
245
1 0
$a
Data privacy
$h
[electronic resource] :
$b
foundations, new developments and the big data challenge /
$c
by Vicenc Torra.
260
$a
Cham :
$c
2017.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xiv, 269 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in big data,
$x
2197-6503 ;
$v
v.28
505
0
$a
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
$a
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.
650
0
$a
Data protection.
$3
557764
650
0
$a
Computer security.
$3
557122
650
1 4
$a
Engineering.
$3
561152
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
593924
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Studies in big data ;
$v
v.1.
$3
1020233
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-57358-8
950
$a
Engineering (Springer-11647)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login