[2016 New Book] Techniques and Environments for Big Data Analysis: Parallel, Clo

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

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

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Table of contents [size=1.3](9 chapters)

[size=1.6]Introduction to Big Data Analysis
[size=1.1]Pattnaik, Kiranjit (et al.)
[size=1.1]Pages 1-20
[size=1.6]Parallel Environments
[size=1.1]Mishra, Bhabani Shankar Prasad (et al.)
[size=1.1]Pages 21-30
[size=1.6]A Deep Dive into the Hadoop World to Explore Its Various Performances
[size=1.1]Dev, Dipayan (et al.)
[size=1.1]Pages 31-51
[size=1.6]Natural Language Processing and Machine Learning for Big Data
[size=1.1]Mustafi, Joy
[size=1.1]Pages 53-74
[size=1.6]Big Data and Cyber Foraging: Future Scope and Challenges
[size=1.1]Panigrahi, Chhabi Rani (et al.)
[size=1.1]Pages 75-100

[size=1.6]Parallel GA in Big Data Analysis
[size=1.1]Sagnika, Santwana (et al.)
[size=1.1]Pages 101-111
[size=1.6]Evolutionary Algorithm Based Techniques to Handle Big Data
[size=1.1]Sanchita, Ghosh (et al.)
[size=1.1]Pages 113-158
[size=1.6]Statistical and Evolutionary Feature Selection Techniques Parallelized Using MapReduce Programming Model
[size=1.1]Janaki Meena, M. (et al.)
[size=1.1]Pages 159-180
[size=1.6]The Role of Grid Technologies: A Next Level Combat with Big Data
[size=1.1]Mishra, Manoj Kumar (et al.)
[size=1.1]Pages 181-191