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Big data technologies and applications

Furht, Borko.

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Big data technologies and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data technologies and applications/ by Borko Furht, Flavio Villanustre.
Author:	Furht, Borko.
other author:	Villanustre, Flavio.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xviii, 400 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-44550-2
ISBN:	9783319445502$q(electronic bk.)

Big data technologies and applications
Furht, Borko.

Big data technologies and applications[electronic resource] /by Borko Furht, Flavio Villanustre. - Cham :Springer International Publishing :2016. - xviii, 400 p. :ill., digital ;24 cm.

Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster.

ISBN: 9783319445502$q(electronic bk.)

Standard No.: 10.1007/978-3-319-44550-2doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data technologies and applications
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020 $a 9783319445489$q(paper)
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100 1 $a Furht, Borko. $3 895965
245 1 0 $a Big data technologies and applications $h [electronic resource] / $c by Borko Furht, Flavio Villanustre.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xviii, 400 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster.
650 0 $a Big data. $3 2045508
650 0 $a High performance computing. $3 591827
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Mathematical Applications in Computer Science. $3 1567978
700 1 $a Villanustre, Flavio. $3 3135622
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-44550-2
950 $a Computer Science (Springer-11645)