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020 _a9783319679259
024 7 _a10.1007/978-3-319-67925-9
_2doi
050 _aQ342
_b.M635 2018 EB
040 _aES-MaUEC
_bspa
245 1 0 _aMobile Big Data
_bA Roadmap from Models to Technologies
_cedited by Georgios Skourletopoulos, George Mastorakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Evangelos Pallis.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (X, 347 páginas 88 ilustraciones, 55 ilustraciones a color.)
347 _atext file
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4512
_v10
505 0 _aPart I - Introduction To Mobile Big Data Paradigm -- Big Data Analytics: Applications, Prospects And Challenges -- Levering Mobile Cloud Computing For Mobile Big Data Analytics -- Game Theoretic Approaches In Mobile Cloud Computing Systems For Big Data Applications: A Systematic Literature Review -- Part II - Architectures, Applications And Services For Mobile Big Data.-Evidence-Aware Mobile Cloud Architectures -- Context-Awareness In Location Based Services In The Big Data Era -- Mobile Big Data In Vehicular Networks: The Road To Internet Of Vehicles -- Part III - Data Management For Mobile Big Data.-Mobile Distributed Complex Event Processing - Ubi Sumus? Quo Vadimus?.-Electromagnetic Interference And Discontinuity Effects Of Interconnections On Big Data Performance Of Integrated Circuits -- Evaluating Decision Analytics From Mobile Big Data Using Rough Set Based Ant Colony -- Energy-Aware Issues For Handling Big Data In Mobile Cloud Computing -- Part IV - Industrial Practices Of Mobile Big Data-Driven Models -- Big Data - A New Technology Trend And Factors Affecting The Implementation Of Big Data In Australian Industries -- Extending The SANA Mobile Healthcare Platform With Features Providing ECG Analysis.-Social Networking In Higher Education In India.
520 3 _aThis book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the 'Anywhere, Anything, Anytime' paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aDatos masivos
_9495511
_2embne
700 1 _aSkourletopoulos, Georgios.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMastorakis, George.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/315175105/
_998973
700 1 _aMavromoustakis, Constandinos X.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/315175107/
_998972
700 1 _aDobre, Ciprian.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/nb2014009668
_1http://viaf.org/viaf/308236178/
700 1 _aPallis, Evangelos.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/315175108/
776 0 8 _iEdición impresa:
_z9783319679242
776 0 8 _iEdición impresa:
_z9783319679266
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67925-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b12/2018
_dz
_ef
_feng
_ggw
_h0
999 _c102121
_d102121
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