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Language: English
Published by Springer-Verlag GmbH, 2017
ISBN 10: 3319527509 ISBN 13: 9783319527505
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Taschenbuch. Condition: Neu. Granular-Relational Data Mining | How to Mine Relational Data in the Paradigm of Granular Computing? | Piotr Honko | Taschenbuch | xv | Englisch | 2018 | Springer | EAN 9783319849775 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, Berlin, Springer, 2018
ISBN 10: 3319849778 ISBN 13: 9783319849775
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer, Berlin, Springer, 2017
ISBN 10: 3319527509 ISBN 13: 9783319527505
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Berlin Springer International Publishing Springer Feb 2017, 2017
ISBN 10: 3319527509 ISBN 13: 9783319527505
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: 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.
Language: English
Published by Berlin Springer International Publishing Springer Mai 2018, 2018
ISBN 10: 3319849778 ISBN 13: 9783319849775
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3319527509 ISBN 13: 9783319527505
Seller: moluna, Greven, Germany
Gebunden. Condition: 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.
Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3319849778 ISBN 13: 9783319849775
Seller: moluna, Greven, Germany
Condition: 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.
Condition: New. PRINT ON DEMAND.
Condition: New. PRINT ON DEMAND pp. 123.