Granular-relational data mining : how to mine relational data in the paradigm of granular computing?

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 m...

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Bibliographic Details
Main Author Hońko, Piotr (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 702.
Subjects
Data mining.
Granular computing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319527512
9783319849775
9783319527505
ISSN1860-949X ;
Physical Description1 online resource (xv, 123 pages) : illustrations

Cover

Table of Contents:
  • Preface
  • Chapter 1: Introduction
  • Part I: Generalized Related Set Based Approach
  • Chapter 2: Information System for Relational Data
  • Chapter 3: Properties of Granular-Relational Data Mining Framework
  • Chapter 4: Association Discovery and Classification Rule Mining
  • Chapter 5: Rough-Granular Computing
  • Part II: Description Language Based Approach
  • Chapter 6: Compound Information Systems
  • Chapter 7: From Granular-Data Mining Framework to its Relational Version
  • Chapter 8: Relation-Based Granules
  • Chapter 9: Compound Approximation Spaces
  • Conclusions
  • References
  • Index.

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