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Big data applications and use cases

Hung, Patrick C. K.

Big data applications and use cases

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data applications and use casesedited by Patrick C. K. Hung.
other author:	Hung, Patrick C. K.
Published:	Cham :Springer International Publishing :2016.
Description:	vi, 214 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data.
Online resource:	http://dx.doi.org/10.1007/978-3-319-30146-4
ISBN:	9783319301464$q(electronic bk.)

Big data applications and use cases
Big data applications and use cases[electronic resource] /edited by Patrick C. K. Hung. - Cham :Springer International Publishing :2016. - vi, 214 p. :ill. (some col.), digital ;24 cm. - International series on computer entertainment and media technology,2364-947X. - International series on computer entertainment and media technology..

Introduction to Big Data -- A Bloom Filter-based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset -- Automatic Speech and Singing Discrimination for Audio Data Indexing -- Exploring the Feature Selection-based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors - A Case Study of Programming CQA in Stack Overflow -- Temporal Event Tracing on Big Healthcare Data Analytics -- Unstructured Data, NoSQL, and Terms Analytics -- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications -- A Crowdsourcing Social Network Service for Social Enterprise Innovation -- Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network -- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications -- Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico.

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.

ISBN: 9783319301464$q(electronic bk.)

Standard No.: 10.1007/978-3-319-30146-4doiSubjects--Topical Terms:

609582
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data applications and use cases
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245 0 0 $a Big data applications and use cases $h [electronic resource] / $c edited by Patrick C. K. Hung.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a vi, 214 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a International series on computer entertainment and media technology, $x 2364-947X
505 0 $a Introduction to Big Data -- A Bloom Filter-based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset -- Automatic Speech and Singing Discrimination for Audio Data Indexing -- Exploring the Feature Selection-based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors - A Case Study of Programming CQA in Stack Overflow -- Temporal Event Tracing on Big Healthcare Data Analytics -- Unstructured Data, NoSQL, and Terms Analytics -- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications -- A Crowdsourcing Social Network Service for Social Enterprise Innovation -- Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network -- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications -- Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico.
520 $a This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.
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