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008			210218s2021 gw | s |||| 0|eng d
020			_a9783030671976
024	7		_a10.1007/978-3-030-67197-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2021 EB
245	0	0	_aData Science and Internet of Things : _bResearch and Applications at the Intersection of DS and IoT _cedited by Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 182 páginas) _b87 ilustraciones, 77 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aInternet of Things Technology Communications and Computing _x2199-1073
505	0		_aIntroduction -- Machine learning algorithms, techniques & applications in IoT domains -- Network science and IoT -- Social media analysis in scale -- UAV solutions in IoT -- IoT aided Smart Home Architecture for Anomaly Detection -- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing -- Correlations among Game of Thieves and other centrality measures in large networks -- Optimization strategy in data transmission on Narrowband IoT with LWM2M -- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning -- An Energy-efficient Techniques for Constrained Application Protocol (CoAP) -- Analysis of GPS power consumption in constrained-resources devices -- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition -- Conclusion.
520	3		_aThis book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields.
988			_aSpringer_Computer_2021
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _aAprendizaje automático _9166090
650		7	_2embne _aData mining _9162648
700	1		_aFortino, Giancarlo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLiotta, Antonio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGravina, Raffaele _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLongheu, Alessandro _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030671969
776	0	8	_iPrinted edition: _z9783030671983
776	0	8	_iPrinted edition: _z9783030671990
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67197-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2021 _dz _eIG _zSI