000			03516nam a22005175i 4500
001			978-3-319-16598-1
003			DE-He213
005			20200421111655.0
007			cr nn 008mamaa
008			150421s2015 gw | s |||| 0|eng d
020			_a9783319165981 _9978-3-319-16598-1
024	7		_a10.1007/978-3-319-16598-1 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aComputational Intelligence for Big Data Analysis _h[electronic resource] : _bFrontier Advances and Applications / _cedited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXX, 267 p. 83 illus., 12 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v19
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			_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.
650		0	_aEngineering.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aAcharjya, D.P. _eeditor.
700	1		_aDehuri, Satchidananda. _eeditor.
700	1		_aSanyal, Sugata. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319165974
830		0	_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v19
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-16598-1
912			_aZDB-2-ENG
942			_cEBK
999			_c54613 _d54613