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© 2015

Computational Intelligence for Big Data Analysis

Frontier Advances and Applications

  • D.P. Acharjya
  • Satchidananda Dehuri
  • Sugata Sanyal

Benefits

  • Provides recent advances in the fields of big data analysis

  • Emphasizes on theoretical advances and its applications to real life problems

  • Presents theoretical foundations, architecture and tools for big data

  • Treats analytical issues as well as industry and engineering applications

Book

Part of the Adaptation, Learning, and Optimization book series (ALO, volume 19)

Table of contents

  1. Front Matter
    Pages 1-17
  2. Theoretical Foundation of Big Data Analysis

  3. Architecture for Big Data Analysis

  4. Big Data Analysis and Cloud Computing

    1. Front Matter
      Pages 199-199
    2. D. H. Manjaiah, B. Santhosh, Jeevan L. J. Pinto
      Pages 201-217
    3. Aparna Vijaya, V. Neelanarayanan, V. Vijayakumar
      Pages 219-235
    4. Monika Mital, Ashis K. Pani, Suma Damodaran
      Pages 255-265
  5. Back Matter
    Pages 267-267

About this book

Introduction

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.

Keywords

Big-data Science and Foundations Computational Intelligence Data Data Mining Fuzzy Set Big Data Genetic Algorithm Data Knowledge Discovery Databases Knowledge Representation Machine Learning for Big Data Near Set Neural Network Ontology Rough Computing Semantics Soft Set Swarm Intelligence

Editors and affiliations

  • D.P. Acharjya
    • 1
  • Satchidananda Dehuri
    • 2
  • Sugata Sanyal
    • 3
  1. 1.School of Computing Sciences and EngineeringVIT UniversityVelloreIndia
  2. 2.Department of Information and Communication TechnologyFakir Mohan UniversityBalasoreIndia
  3. 3.Corporate Technology OfficeTata Consultancy ServicesMumbaiIndia

Bibliographic information

  • Book Title Computational Intelligence for Big Data Analysis
  • Book Subtitle Frontier Advances and Applications
  • Editors D.P. Acharjya
    Satchidananda Dehuri
    Sugata Sanyal
  • Series Title Adaptation, Learning, and Optimization
  • Series Abbreviated Title Adapt.,Learning,Optim.
  • DOI https://doi.org/10.1007/978-3-319-16598-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-16597-4
  • Softcover ISBN 978-3-319-36200-7
  • eBook ISBN 978-3-319-16598-1
  • Series ISSN 1867-4534
  • Series E-ISSN 1867-4542
  • Edition Number 1
  • Number of Pages XX, 267
  • Number of Illustrations 71 b/w illustrations, 12 illustrations in colour
  • Topics Computational Intelligence
    Data Mining and Knowledge Discovery
    Artificial Intelligence
  • Buy this book on publisher's site
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