000			03635nam a22005775i 4500
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