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

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319801600
• ISBN13: 9783319801605
• Release Date: March 2018
• Publisher: Springer
• Length: 191 Pages
• Weight: 0.64 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"