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

• Κύριος συγγραφέας: Hońko, Piotr (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 702
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.