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001 978-3-642-30487-3
003 DE-He213
005 20200420221257.0
007 cr nn 008mamaa
008 120811s2013 gw | s |||| 0|eng d
020 _a9783642304873
_9978-3-642-30487-3
024 7 _a10.1007/978-3-642-30487-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aDiscrimination and Privacy in the Information Society
_h[electronic resource] :
_bData Mining and Profiling in Large Databases /
_cedited by Bart Custers, Toon Calders, Bart Schermer, Tal Zarsky.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXVIII, 370 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Applied Philosophy, Epistemology and Rational Ethics,
_x2192-6255 ;
_v3
505 0 _aPart I Opportunities of Data Mining and Profiling -- Part II Possible Discrimination and Privacy Issues -- Part III Practical Applications -- Part IV Solutions in Code -- Part V Solutions in Law, Norms and the Market.
520 _aVast amounts of data are nowadays collected, stored and processed, in an effort to assist in  making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of  discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.  .
650 0 _aEngineering.
650 0 _aEthics.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aCriminal law.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aEthics.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aDatabase Management.
650 2 4 _aCriminal Law.
700 1 _aCusters, Bart.
_eeditor.
700 1 _aCalders, Toon.
_eeditor.
700 1 _aSchermer, Bart.
_eeditor.
700 1 _aZarsky, Tal.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642304866
830 0 _aStudies in Applied Philosophy, Epistemology and Rational Ethics,
_x2192-6255 ;
_v3
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30487-3
912 _aZDB-2-ENG
942 _cEBK
999 _c53001
_d53001