Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing
Author:   B. S.P. Mishra ,  Satchidananda Dehuri ,  Euiwhan Kim ,  Gi-Name Wang
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   17
ISBN:  

9783319801605


Pages:   191
Publication Date:   30 March 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing


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Author:   B. S.P. Mishra ,  Satchidananda Dehuri ,  Euiwhan Kim ,  Gi-Name Wang
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   17
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319801605


ISBN 10:   3319801600
Pages:   191
Publication Date:   30 March 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Big Data Analysis.- Parallel Environments.- A Deep Dive into the Hadoop World to Explore its VariousPerformances.- Natural Language Processing and Machine Learning for Big Data.- Big Data and Cyber Foraging: Future Scope and Challenges.- Parallel GA in Big Data Analysis.- Evolutionary Algorithm Based Techniques to Handle Big Data.- Statistical and Evolutionary Feature Selection TechniquesParallelized using MapReduce Programming Model.- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop.- The Role of Grid Technologies: A Next Level Combat with Big Data.

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