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Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing

Aus der Reihe Studies in Big Data

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

30.03.2018
Abbildungen

XI, 191 p. 103 illus., 76 illus. in color.
Herausgeber B. S.P. Mishra + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

30.03.2018
Abbildungen

XI, 191 p. 103 illus., 76 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

191
Maße (L/B/H)

23,5/15,5/1,2 cm
Gewicht

318 g
Auflage

Softcover reprint of the original 1st ed. 2016
Sprache

Englisch
ISBN

978-3-319-80160-5
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Techniques and Environments for Big Data Analysis
  • Produktbild: Techniques and Environments for Big Data Analysis
  • 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.