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Big data applications and use cases / [edited by] Patrick C. K. Hung.

Contributor(s): Material type: TextTextSeries: International series on computer entertainment and media technologyPublication details: Switzerland : Springer, 2016.Description: vi, 214 pages : illustrations ; 25 cmISBN:
  • 9783319301440
Subject(s): DDC classification:
  • 005.7 23 H936
Contents:
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 -- 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 -- Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network -- Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico.
Summary: 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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Includes bibliographical references.

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 --
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 --
Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network --
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.

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