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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing de B. S.P. Mishra

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing (Studies in Big Data, nr. 17)

Editat de B. S.P. Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang
Notă GoodReads:
en Limba Engleză Hardback – 16 Feb 2016
This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
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Specificații

ISBN-13: 9783319275185
ISBN-10: 3319275186
Pagini: 250
Ilustrații: XI, 191 p. 103 illus., 76 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 4.32 kg
Ediția: 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data

Locul publicării: Cham, Switzerland

Public țintă

Research

Cuprins

Introduction to Big Data Analysis.- Parallel Environments.- A Deep Dive into the Hadoop World to Explore its Various
Performances.- 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 Techniques
Parallelized 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.

Textul de pe ultima copertă

This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Caracteristici

Presents the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it
Emphasis is on theoretical advances of Big Data and it’s practices in parallel, cloud, and grid environment
Interesting and novel collection useful for researchers and students
Includes supplementary material: sn.pub/extras