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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Detaylı Bibliyografya
Yazar: Hońko, Piotr (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Computational Intelligence, 702
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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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