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710	2		_aSpringerLink (Online service) _9106996
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003			ES-MaUEC
005			20230102113507.0
008			181029s2019 gw a o |||| 0|eng d
020			_a9783030013585
024	7		_a10.1007/978-3-030-01358-5 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA76.9 .B45 _b2019 EB
245	0	0	_aBig Data-Driven World : _bLegislation Issues and Control Technologies _cedited by Alla G. Kravets
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (IX, 260 páginas) _b29 ilustraciones, 7 ilustraciones en color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v181
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aMethodological Foundations of the Digital Economy -- Methodology and technology of control systems development -- Principles of mathematical models constructing based on the text or qualitative data of social systems -- On the possibility of an event prediction with limited initial statistical data -- Theoretical and Applied Aspects of Orthogonal Coding in Computer Networks Technologies -- Big Data in investigating and preventing crimes -- Data analysis of the socio-economic factors' influence on the state of crime -- The remote approach of distribution of objects withdrawn from circulation -- Implementation of the law enforcement function of the state in the field of countering crimes committed using the Internet -- Determination of the main directions of counteraction to e-commerce crimes, committed with the use of online stores.
520	3		_aThis book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book studies the genesis of mathematical and information methods' transition from data analysis & processing to knowledge discovery and predictive analytics in the 21st century. In addition, it analyzes the conditions of development and implementation of Big Data analysis approaches in investigative activities and determines the role and meaning of global networks as platforms for the establishment of legislation and regulations in the Big Data-driven world. The book examines that world through the prism of Legislation Issues, substantiate the scientific and methodological approaches to studying modern mechanisms of terrorism and extremism counteraction in the conditions of new challenges of dissemination and accessibility of socially dangerous information. Systematization of successful experience of the Big Data solutions implementation in the different countries and analyze causal connections of the Digital Economy formation from the positions of new technological challenges is performed. The book's target audience includes scientists, students, PhD and Master students who conduct scientific research on the topic of Big Data not only in the field of IT& data science, but also in connection with legislative regulation aspects of the modern information society. It also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Digital Economy projects in the Big Data-driven world.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _9495511 _aDatos masivos
650		7	_2embne _aProceso de datos _9141180
700	1		_aKravets, Alla G. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030013578
776	0	8	_iPrinted edition: _z9783030013592
776	0	8	_iPrinted edition: _z9783030131746
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-01358-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI