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Studies in Big Data

Information Granularity, Big Data, and Computational Intelligence

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

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  • Includes introductory chapters both in terms of big data, the key challenges of the area, development opportunities and a well-focused introduction to Computational Intelligence
  • Self-contained and easily accessible volume
  • Written by experts in the field
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eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-08254-7
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Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-08253-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 4, 2016
  • ISBN 978-3-319-38161-9
  • Free shipping for individuals worldwide
Rent the eBook  
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About this book

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data.

This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Table of contents (21 chapters)

Table of contents (21 chapters)
  • Nearest Neighbor Queries on Big Data

    Pages 3-22

    Chatzimilioudis, Georgios (et al.)

  • Information Mining for Big Information

    Pages 23-38

    Goto, Yuichi

  • Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis

    Pages 39-61

    Ramli, Azizul Azhar (et al.)

  • How to Understand Connections Based on Big Data: From Cliques to Flexible Granules

    Pages 63-87

    Jalal-Kamali, Ali (et al.)

  • Graph-Based Framework for Evaluating the Feasibility of Transition to Maintainomics

    Pages 89-119

    Xing, Bo

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-08254-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-08253-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 4, 2016
  • ISBN 978-3-319-38161-9
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Information Granularity, Big Data, and Computational Intelligence
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Big Data
Series Volume
8
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-08254-7
DOI
10.1007/978-3-319-08254-7
Hardcover ISBN
978-3-319-08253-0
Softcover ISBN
978-3-319-38161-9
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XI, 444
Number of Illustrations
97 b/w illustrations, 26 illustrations in colour
Topics