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020			_a9789811610073
024	7		_a10.1007/978-981-16-1007-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.B45 _b2021 EB
245	1	0	_aPrivacy and Security Issues in Big Data : _bAn Analytical View on Business Intelligence _cedited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XII, 211 páginas) _b75 ilustraciones, 59 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aServices and Business Process Reengineering _x2524-5511
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aSecurity in Big Data: A Succinct Survey -- Big Data Driven Privacy and Security Issues and Challenges -- Big Data Process based Security and Privacy Issues and Measures -- Exploring and Presenting Security Measures in Big Data Paradigm -- Comparative Analysis of Anonymization Techniques -- Standarlization of Big Data and Polices -- Privacy Preserving Cryptographic Model for Big Data Analytics -- Application of Big Data Analytics in Healthcare Industry along with its Security Issues -- An Analytical Perspective of Machine Learning in Cyber Security -- Business Intelligence Influenced Customer Relationship Management in Telecommunication industry and its Security Challenges -- Data Protection and Data Privacy Act for Big Data Governance.
520	3		_aThis book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of "Business Intelligence". The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
988			_aSpringer_Robotics_2021
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aDas, Pradip Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682057
700			_aTripathy, Hrudaya Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682058
700			_aMohd Yusof, Shafiz Affendi _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682059
776	0	8	_iPrinted edition: _z9789811610066
776	0	8	_iPrinted edition: _z9789811610080
776	0	8	_iPrinted edition: _z9789811610097
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1007-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE