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008 150903s2013 gw | o |||| 0|eng d
020 _a9783642304873
_99783642304873
024 7 _a10.1007/9783642304873
_2doi
035 _avtls000359299
039 9 _a201509030613
_bVLOAD
_c201405070244
_dVLOAD
_y201402191551
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aCusters, Bart.
_eeditor.
_9344288
245 1 0 _aDiscrimination and Privacy in the Information Society :
_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 páginas 31 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Applied Philosophy, Epistemology and Rational Ethics,
_x2192-6255 ;
_v3
500 _aSpringer eBooks
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.  
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aCalders, Toon.
_eeditor.
_9344289
700 1 _aSchermer, Bart.
_eeditor.
_9344290
700 1 _aZarsky, Tal.
_eeditor.
_9344291
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642304866
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-30487-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c305277
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