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020 _a9783319679259
_9978-3-319-67925-9
024 7 _a10.1007/978-3-319-67925-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aMobile Big Data
_h[electronic resource] :
_bA Roadmap from Models to Technologies /
_cedited by Georgios Skourletopoulos, George Mastorakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Evangelos Pallis.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aX, 347 p. 88 illus., 55 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_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 _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 0 _aComputational intelligence.
_97716
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aData Mining and Knowledge Discovery.
_945632
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aSkourletopoulos, Georgios.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945633
700 1 _aMastorakis, George.
_eeditor.
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_945634
700 1 _aMavromoustakis, Constandinos X.
_eeditor.
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_1https://orcid.org/0000-0003-0333-8034
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945635
700 1 _aDobre, Ciprian.
_eeditor.
_0(orcid)0000-0003-4638-7725
_1https://orcid.org/0000-0003-4638-7725
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945636
700 1 _aPallis, Evangelos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945637
710 2 _aSpringerLink (Online service)
_945638
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319679242
776 0 8 _iPrinted edition:
_z9783319679266
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v10
_945639
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67925-9
912 _aZDB-2-ENG
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