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

Techniques and Environments for Big Data Analysis

Parallel, Cloud, and Grid Computing

By: B. S.P. Mishra (Editor), Satchidananda Dehuri (Editor), Euiwhan Kim (Editor)

Hardcover | 16 February 2016

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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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