Studies in Computational Intelligence

Granular-Relational Data Mining

How to Mine Relational Data in the Paradigm of Granular Computing?

Authors: Hońko, Piotr

Free Preview
  • Highlights research on mining relational data in the context of granular computing
  • Provides unified frameworks for performing typical data mining tasks such as classification, clustering, and association discovery
  • A unique fundamental text at the crossroads of two fields: relational data mining and granular computing
see more benefits

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-52751-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-52750-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-84977-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.
Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, and association discovery. How can different relational data mining tasks best be unified? How can the construction process of relational patterns be simplified? How can richer knowledge from relational data be discovered? All these questions can be answered in the same way: by mining relational data in the paradigm of granular computing!
This book will allow readers with previous experience in the field of relational data mining to discover the many benefits of its granular perspective. In turn, those readers familiar with the paradigm of granular computing will find valuable insights on its application to mining relational data. Lastly, the book offers all readers interested in computational intelligence in the broader sense the opportunity to deepen their understanding of the newly emerging field granular-relational data mining.

Table of contents (10 chapters)

  • Introduction

    Hońko, Piotr

    Pages 1-6

    Preview Buy Chapter 30,19 €
  • Information System for Relational Data

    Hońko, Piotr

    Pages 9-19

    Preview Buy Chapter 30,19 €
  • Properties of Granular-Relational Data Mining Framework

    Hońko, Piotr

    Pages 21-28

    Preview Buy Chapter 30,19 €
  • Association Discovery and Classification Rule Mining

    Hońko, Piotr

    Pages 29-38

    Preview Buy Chapter 30,19 €
  • Rough-Granular Computing

    Hońko, Piotr

    Pages 39-48

    Preview Buy Chapter 30,19 €

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-52751-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-52750-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-84977-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Granular-Relational Data Mining
Book Subtitle
How to Mine Relational Data in the Paradigm of Granular Computing?
Authors
Series Title
Studies in Computational Intelligence
Series Volume
702
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-52751-2
DOI
10.1007/978-3-319-52751-2
Hardcover ISBN
978-3-319-52750-5
Softcover ISBN
978-3-319-84977-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 123
Number of Illustrations
4 b/w illustrations
Topics