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

Hońko, Piotr

9783319527505: Granular-relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?

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ISBN 10 : 3319527509 ISBN 13 : 9783319527505

Editeur : Springer International Publishing AG, 2017

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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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�diteur: Springer International Publishing AG
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3319527509
ISBN 13: 9783319527505
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 123
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Granular-Relational Data Mining : How to Mine Relational Data in the Paradigm of Granular Computing?

Piotr Honko

Edit� par Springer-Verlag GmbH, 2017

ISBN 10 : 3319527509 ISBN 13 : 9783319527505

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 123 | Sprache: Englisch | Produktart: B�cher. N� de r�f. du vendeur 28269999/12

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Granular-Relational Data Mining

Piotr Honko

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319527509 ISBN 13 : 9783319527505

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights research on mining relational data in the context of granular computingProvides unified frameworks for performing typical data mining tasks such as classification, clustering, and association discovery. N� de r�f. du vendeur 135466942

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Granular-Relational Data Mining

Piotr Honko

Edit� par Berlin Springer International Publishing Springer Feb 2017, 2017

ISBN 10 : 3319527509 ISBN 13 : 9783319527505

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 123 pp. Englisch. N� de r�f. du vendeur 9783319527505

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

Piotr Honko

Edit� par Springer, Berlin, Springer International Publishing, Springer, 2017

ISBN 10 : 3319527509 ISBN 13 : 9783319527505

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319527505

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