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

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.

List of contents

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.

Summary

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.

Product details

• Assisted by: Satchidanand Dehuri (Editor), Satchidananda Dehuri (Editor), Euiwhan Kim (Editor), Euiwhan Kim et al (Editor), B. S. P. Mishra (Editor), B. S.P. Mishra (Editor), Bhabani Shankar Prasad Mishra (Editor), Gi-Name Wang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2016
• EAN: 9783319275185
• ISBN: 978-3-31-927518-5
• No. of pages: 191
• Dimensions: 161 mm x 242 mm x 16 mm
• Weight: 464 g
• Illustrations: XI, 191 p. 103 illus., 76 illus. in color.
• Series: Studies in Big Data; Studies in Big Data
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, engineering, Data Mining and Knowledge Discovery, Computational Intelligence, Expert systems / knowledge-based systems