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007			cr nn nnnaamaa
008			180713s2019 gw a s |||| 0|eng d
020			_a9783319930619
024	7		_a10.1007/978-3-319-93061-9 _2doi
040			_aES-MaUEC _bspa _dES-MaUEC
050		4	_aHD30.215 _b2019 EB
245	0	0	_aBig Data for the Greater Good _cedited by Ali Emrouznejad, Vincent Charles.
264		1	_aCham _bSpringer International Publishing _bImprint: Springer _c2019.
300			_a1 recurso en línea (X, 204 páginas) _b55 ilustraciones,34 ilustraciones a color
347			_atext file _bPDF
490	0		_aStudies in Big Data _x2197-6503 _v42
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aBig Data for the Greater Good: An Introduction -- Big Data Analytics and Ethnography: Together for the Greater Good -- Big Data: A Global Overview -- Big data for predictive analytics in high acuity health settings -- A Novel Big Data-Enabled Approach Individualizing and Optimizing Brain Disorder Rehabilitation -- Big Data in Agricultural and Food Research: Challenges and Opportunities of an integrated Big Data e-Infrastructure -- Green neighbourhoods: the role of big data in low voltage networks' planning -- Big Data Improves Visitor Experience at Local, State, and National Parks - Natural Language Processing Applied to Customer Feedback -- Big Data and Sensitive Data.
520	3		_aThis book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks - many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.
650		7	_aEmpresas _xMétodos estadísticos _9141658 _2embne
700	1		_aEmrouznejad, Ali _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998830
700	1		_aCharles, Vincent _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783319930602
776	0	8	_iPrinted edition: _z9783319930626
776	0	8	_iPrinted edition: _z9783030065768
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-93061-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b11/2019 _cm _dz _ea _feng _ggw _h0