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Computational Intelligence for Big Data Analysis

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Cover of 'Computational Intelligence for Big Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 “Atrain Distributed System” (ADS): An Infinitely Scalable Architecture for Processing Big Data of Any 4Vs
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    Chapter 2 Big Data Time Series Forecasting Model: A Fuzzy-Neuro Hybridize Approach
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    Chapter 3 Learning Using Hybrid Intelligence Techniques
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    Chapter 4 Neutrosophic Sets and Its Applications to Decision Making
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    Chapter 5 An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis
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    Chapter 6 Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logistic Mutation for Large Scale Optimization
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    Chapter 7 A Spectrum of Big Data Applications for Data Analytics
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    Chapter 8 Fundamentals of Brain Signals and Its Medical Application Using Data Analysis Techniques
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    Chapter 9 BigData: Processing of Data Intensive Applications on Cloud
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    Chapter 10 Framework for Supporting Heterogenous Clouds Using Model Driven Approach
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    Chapter 11 Cloud Based Big Data Analytics: WAN Optimization Techniques and Solutions
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    Chapter 12 Cloud Based E-Governance Solution: A Case Study
Attention for Chapter 9: BigData: Processing of Data Intensive Applications on Cloud
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