Computational Intelligence for Big Data Analysis: Frontier Advances and Applications

✍ Scribed by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 276
• Series: Adaptation, Learning, and Optimization 19
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages 1-17
Front Matter....Pages 1-1
“Atrain Distributed System” (ADS): An Infinitely Scalable Architecture for Processing Big Data of Any 4Vs....Pages 3-54
Big Data Time Series Forecasting Model: A Fuzzy-Neuro Hybridize Approach....Pages 55-72
Learning Using Hybrid Intelligence Techniques....Pages 73-96
Neutrosophic Sets and Its Applications to Decision Making....Pages 97-115
Front Matter....Pages 117-117
An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis....Pages 119-142
Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logistic Mutation for Large Scale Optimization....Pages 143-164
A Spectrum of Big Data Applications for Data Analytics....Pages 165-179
Fundamentals of Brain Signals and Its Medical Application Using Data Analysis Techniques....Pages 181-197
Front Matter....Pages 199-199
BigData: Processing of Data Intensive Applications on Cloud....Pages 201-217
Framework for Supporting Heterogenous Clouds Using Model Driven Approach....Pages 219-235
Cloud Based Big Data Analytics: WAN Optimization Techniques and Solutions....Pages 237-254
Cloud Based E-Governance Solution: A Case Study....Pages 255-265
Back Matter....Pages 267-267

✦ Subjects

Computational Intelligence; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics)