Modern Technologies for Big Data Classification and Clustering
Author | : Seetha, Hari |
Publisher | : IGI Global |
Total Pages | : 381 |
Release | : 2017-07-12 |
ISBN-10 | : 9781522528067 |
ISBN-13 | : 1522528067 |
Rating | : 4/5 (67 Downloads) |
Download or read book Modern Technologies for Big Data Classification and Clustering written by Seetha, Hari and published by IGI Global. This book was released on 2017-07-12 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.