000			03398nam a22005535i 4500
001			978-0-387-29489-6
003			DE-He213
005			20250710083944.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387294896 _a99780387294896
024	7		_a10.1007/978-0-387-29489-6 _2doi
082	0	4	_a006.312 _223
100	1		_aVaidya, Jaideep. _eauthor.
245	1	0	_aPrivacy Preserving Data Mining _h[recurso electrónico] / _cby Jaideep Vaidya, Yu Michael Zhu, Christopher W. Clifton.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aX, 121 p. 20 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Information Security, _x1568-2633 ; _v19
505	0		_aPrivacy and Data Mining -- What is Privacy? -- Solution Approaches / Problems -- Predictive Modeling for Classification -- Predictive Modeling for Regression -- Finding Patterns and Rules (Association Rules) -- Descriptive Modeling (Clustering, Outlier Detection) -- Future Research - Problems remaining.
520			_aData mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium Act" introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense. Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area. Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTER COMMUNICATION NETWORKS.
650		0	_aDATA STRUCTURES (COMPUTER SCIENCE).
650		0	_aDATA ENCRYPTION (COMPUTER SCIENCE).
650		0	_aDATABASE MANAGEMENT.
650		0	_aDATA MINING.
650		0	_aINFORMATION STORAGE AND RETRIEVAL SYSTEMS.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aDATA MINING AND KNOWLEDGE DISCOVERY.
650	2	4	_aDATABASE MANAGEMENT.
650	2	4	_aDATA STRUCTURES, CRYPTOLOGY AND INFORMATION THEORY.
650	2	4	_aDATA ENCRYPTION.
650	2	4	_aINFORMATION STORAGE AND RETRIEVAL.
650	2	4	_aCOMPUTER COMMUNICATION NETWORKS.
700	1		_aZhu, Yu Michael. _eauthor.
700	1		_aClifton, Christopher W. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387258867
830		0	_aAdvances in Information Security, _x1568-2633 ; _v19
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-29489-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56967 _d56967