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020 _a9783030236724
024 7 _a10.1007/978-3-030-23672-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9 .B45
_b2020 EB
245 0 0 _aBig data and networks technologies
_cedited by Yousef Farhaoui
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (VII, 372 páginas)
_b181 ilustraciones, 120 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3370
_v81
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
520 3 _aThis book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.
650 7 _2embne
_9495511
_aDatos masivos
650 7 _2embne
_aRedes informáticas
_9141354
650 7 _2embne
_aAnálisis de sistemas
_9138446
700 1 _aFarhaoui, Yousef
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030236717
776 0 8 _iPrinted edition:
_z9783030236731
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23672-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998 _aSI
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_b12/2019
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