↓ Skip to main content

Information Granularity, Big Data, and Computational Intelligence

Overview of attention for book
Cover of 'Information Granularity, Big Data, and Computational Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Nearest Neighbor Queries on Big Data
  3. Altmetric Badge
    Chapter 2 Information Mining for Big Information
  4. Altmetric Badge
    Chapter 3 Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis
  5. Altmetric Badge
    Chapter 4 How to Understand Connections Based on Big Data: From Cliques to Flexible Granules
  6. Altmetric Badge
    Chapter 5 Graph-Based Framework for Evaluating the Feasibility of Transition to Maintainomics
  7. Altmetric Badge
    Chapter 6 Incrementally Mining Frequent Patterns from Large Database
  8. Altmetric Badge
    Chapter 7 Improved Latent Semantic Indexing-Based Data Mining Methods and an Application to Big Data Analysis of CRM
  9. Altmetric Badge
    Chapter 8 The Property of Different Granule and Granular Methods Based on Quotient Space
  10. Altmetric Badge
    Chapter 9 Towards an Optimal Task-Driven Information Granulation
  11. Altmetric Badge
    Chapter 10 Information Granularity, Big Data, and Computational Intelligence
  12. Altmetric Badge
    Chapter 11 Multi-granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularity
  13. Altmetric Badge
    Chapter 12 Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distribution
  14. Altmetric Badge
    Chapter 13 The Role of Cloud Computing Architecture in Big Data
  15. Altmetric Badge
    Chapter 14 Big Data Storage Techniques for Spatial Databases: Implications of Big Data Architecture on Spatial Query Processing
  16. Altmetric Badge
    Chapter 15 The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases
  17. Altmetric Badge
    Chapter 16 Customer Relationship Management and Big Data Mining
  18. Altmetric Badge
    Chapter 17 Performance Competition for ISCIFCM and DPEI Models Under Uncontrolled Circumstances
  19. Altmetric Badge
    Chapter 18 Rough Set Model Based Knowledge Acquisition of Market Movements from Economic Data
  20. Altmetric Badge
    Chapter 19 Deep Neural Network Modeling for Big Data Weather Forecasting
  21. Altmetric Badge
    Chapter 20 Current Knowledge and Future Challenge for Visibility Forecasting by Computational Intelligence
  22. Altmetric Badge
    Chapter 21 Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
103 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Information Granularity, Big Data, and Computational Intelligence
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-08254-7
ISBNs
978-3-31-908253-0, 978-3-31-908254-7
Editors

Pedrycz, Witold, Chen, Shyi-Ming

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 2 2%
Mexico 1 <1%
Italy 1 <1%
Canada 1 <1%
Unknown 98 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Student > Master 19 18%
Researcher 17 17%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 21 20%
Unknown 12 12%
Readers by discipline Count As %
Computer Science 43 42%
Engineering 17 17%
Economics, Econometrics and Finance 6 6%
Business, Management and Accounting 6 6%
Medicine and Dentistry 3 3%
Other 12 12%
Unknown 16 16%