Modern Technologies for Big Data Classification and Clustering

Modern Technologies for Big Data Classification and Clustering
Author :
Publisher : IGI Global
Total Pages : 381
Release :
ISBN-10 : 9781522528067
ISBN-13 : 1522528067
Rating : 4/5 (67 Downloads)

Book Synopsis Modern Technologies for Big Data Classification and Clustering by : Seetha, Hari

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.


Modern Technologies for Big Data Classification and Clustering Related Books

Modern Technologies for Big Data Classification and Clustering
Language: en
Pages: 381
Authors: Seetha, Hari
Categories: Computers
Type: BOOK - Published: 2017-07-12 - Publisher: IGI Global

DOWNLOAD EBOOK

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
Machine Learning Models and Algorithms for Big Data Classification
Language: en
Pages: 364
Authors: Shan Suthaharan
Categories: Business & Economics
Type: BOOK - Published: 2015-10-20 - Publisher: Springer

DOWNLOAD EBOOK

This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tr
Big Data Technologies and Applications
Language: en
Pages: 405
Authors: Borko Furht
Categories: Computers
Type: BOOK - Published: 2016-09-16 - Publisher: Springer

DOWNLOAD EBOOK

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an
Computational Science and Its Applications - ICCSA 2014
Language: en
Pages: 840
Authors: Beniamino Murgante
Categories: Computers
Type: BOOK - Published: 2014-07-02 - Publisher: Springer

DOWNLOAD EBOOK

The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA
Knowledge Graphs and Big Data Processing
Language: en
Pages: 212
Authors: Valentina Janev
Categories: Computers
Type: BOOK - Published: 2020-07-15 - Publisher: Springer Nature

DOWNLOAD EBOOK

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Anal