Modern Technologies for Big Data Classification and Clustering is popular PDF and ePub book, written by Seetha, Hari in 2017-07-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Modern Technologies for Big Data Classification and Clustering can be Read Online from any device for your convenience.
Modern Technologies for Big Data Classification and Clustering Book PDF Summary
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.
Detail Book of Modern Technologies for Big Data Classification and Clustering PDF
- Author : Seetha, Hari
- Release : 12 July 2017
- Publisher : IGI Global
- ISBN : 9781522528067
- Genre : Computers
- Total Page : 360 pages
- Language : English
- PDF File Size : 16,7 Mb
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