Modern Technologies for Big Data Classification and Clustering

Released on by Seetha, Hari
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  • Modern Technologies for Big Data Classification and Clustering Book Detail

  • Author : Seetha, Hari
  • Release Date : 2017-07-12
  • Publisher : IGI Global
  • Genre : Computers
  • Pages : 381
  • ISBN 13 : 1522528067
  • File Size : 42,42 MB
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Modern Technologies for Big Data Classification and Clustering by Seetha, Hari PDF Summary

Book Description: Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

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Social Big Data Analytics

Social Big Data Analytics

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This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure f