000			03606nam a22004095i 4500
999			_c103598 _d103598 _x1
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005			20230102113137.0
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007			cr nn 008mamaa
008			150421s2015 gw | s |||| 0|eng d
020			_a9783319165981
024	7		_a10.1007/978-3-319-16598-1 _2doi
040			_bspa _dES-MaUEC
050		4	_aQ342 _b.C667 2015 EB
245	1	0	_aComputational Intelligence for Big Data Analysis _bFrontier Advances and Applications _cedited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XX, 267 páginas 83 ilustraciones, 12 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v19
490	0		_aEngineering (Springer-11647)
505	0		_a"Atrain Distributed System" (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- "Atrain Distributed System" (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- Learning Using Hybrid Intelligence Techniques -- Neutrosophic Sets and its Applications to Decision Making -- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis -- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization -- A Spectrum of Big Data Applications for Data Analytics -- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques -- BigData: Processing of Data Intensive Applications on Cloud -- Framework for Supporting Heterogenous Clouds using Model Driven Approach -- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions -- Cloud Based E-Governance Solution: A Case Study.
520	3		_aThe work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
988			_aEBSPRINGER_2018
650		7	_9495511 _aDatos masivos
700	1		_aAcharjya, D.P. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/307421491/
700	1		_aDehuri, Satchidananda _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2007201430 _1http://viaf.org/viaf/164935778/ _998235
700	1		_aSanyal, Sugata. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/416149106049268491006/
776	0	8	_iEdición impresa: _z9783319165998
776	0	8	_iEdición impresa: _z9783319165974
776	0	8	_iEdición impresa: _z9783319362007
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-16598-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI