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020 _a9783030120481
024 7 _a10.1007/978-3-030-12048-1
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA76.9.B45
_b2019 EB
245 0 0 _aBig Data and Smart Digital Environment
_cedited by Yousef Farhaoui, Laila Moussaid.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a 1 recurso en línea (IX, 406 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Big Data
_x2197-6503
_v53
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aA smart parking for invisible disabilities -- Smart water management: Pillars and Technologies -- Integrating ICT in Education: An Adaptive Learning System Based on Users' Context in Mobile Environments -- Modified Strategy of Direct Torque Control Applied to Asynchronous Motor based on PI Regulators -- Managing Temporal and Versioning Aspects of JSON-based Big Data via the τJSchema Framework -- Specific Qualification for Information System Components from Managers and Technical Staff Perspective -- A clustering-based method for detecting text area in videos recorded with the aid of a smartphone -- Chipless RFID Tag Using Multiple G-Shaped Resonators -- Security Analysis of Ye et al. Authentication Protocol for Internet of Things.
520 3 _aThis book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big data analysis and smart city.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_9495511
_aDatos masivos
700 1 _aFarhaoui, Yousef.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMoussaid, Laila.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030120474
776 0 8 _iPrinted edition:
_z9783030120498
776 0 8 _iPrinted edition:
_z9783030120504
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-12048-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _aSI
_cm
_dz
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_b11/2019
_ek
_zSI