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Mobile big data = a roadmap from mod...

Skourletopoulos, Georgios.

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Mobile big data = a roadmap from models to technologies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mobile big data/ edited by Georgios Skourletopoulos ... [et al.].
Reminder of title:	a roadmap from models to technologies /
other author:	Skourletopoulos, Georgios.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	x, 347 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-67925-9
ISBN:	9783319679259

Mobile big data = a roadmap from models to technologies /
Mobile big dataa roadmap from models to technologies /[electronic resource] :edited by Georgios Skourletopoulos ... [et al.]. - Cham :Springer International Publishing :2018. - x, 347 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.102367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.10..

This 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.

ISBN: 9783319679259

Standard No.: 10.1007/978-3-319-67925-9doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Mobile big data = a roadmap from models to technologies /
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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 347 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on data engineering and communications technologies, $x 2367-4512 ; $v v.10
520 $a This 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 $a Big data. $3 2045508
650 0 $a Mobile communication systems. $3 567564
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Skourletopoulos, Georgios. $3 3297520
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