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

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

Paperback

Series: Studies in Computational Intelligence, Book 702

Technology & EngineeringGeneral Computers

ISBN10: 3319849778
ISBN13: 9783319849775
Publisher: Springer Nature
Published: May 4 2018
Pages: 123
Weight: 0.45
Height: 0.30 Width: 6.14 Depth: 9.21
Language: English
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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