Overview

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Full Product Details

Author:   D.P. Acharjya ,  Satchidananda Dehuri ,  Sugata Sanyal
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   19
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   4.394kg
ISBN:  

9783319362007

ISBN 10:   3319362003
Pages:   267
Publication Date:   09 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

“Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs.- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs.- Learning Using Hybrid Intelligence Techniques.- Neutrosophic Sets and its Applications to Decision Making.- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis.- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization.- A Spectrum of Big Data Applications for Data Analytics.- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques.- BigData: Processing of Data Intensive Applications on Cloud.- Framework for Supporting Heterogenous Clouds using Model Driven Approach.- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions.- Cloud Based E-Governance Solution: A Case Study.

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