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008			220118s2022 sz | s |||| 0|eng d
020			_a9783030879549
024	7		_a10.1007/978-3-030-87954-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA345-345.5 _b2022 EB
245	0	0	_aBig Data Intelligence for Smart Applications _cedited by Youssef Baddi, Youssef Gahi, Yassine Maleh, Mamoun Alazab, Loai Tawalbeh
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 334 páginas) _b114 ilustraciones, 80 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v994
505	0		_aData Quality in the Era of Big Data: A Global Review -- Adversarial Machine Learning, Research Trends and Applications -- Multi-agent Systems for Distributed Data Mining Techniques: An Overview -- Time Series Data Analysis using Deep Learning methods for Smart Cities monitoring -- A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity using Deep Convolutional Neural Network.
520			_aToday, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions, and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
988			_aSpringer_Robotics_2022
650		7	_2embne _9495511 _aDatos masivos
650		7	_2embne _aInteligencia artificial _9413115
650		4	_9400080 _aAplicaciones informáticas
700	1		_aBaddi, Youssef _eeditor literario _0(orcid)0000-0002-4139-9033 _1https://orcid.org/0000-0002-4139-9033 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGahi, Youssef _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMaleh, Yassine _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAlazab, Mamoun _eeditor literario _0(orcid)0000-0002-1928-3704 _1https://orcid.org/0000-0002-1928-3704 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTawalbeh, Loai _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030879532
776	0	8	_iPrinted edition: _z9783030879556
776	0	8	_iPrinted edition: _z9783030879563
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87954-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _esc _zSI