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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?: 702 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
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.
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De la contraportada
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.
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Granular-Relational Data Mining : How to Mine Relational Data in the Paradigm of Granular Computing?
Publicado por
Springer-Verlag GmbH, 2017
ISBN 10: 3319527509
ISBN 13: 9783319527505
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Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 123 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 28269999/12
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Granular-Relational Data Mining
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Springer International Publishing, 2017
ISBN 10: 3319527509
ISBN 13: 9783319527505
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Gebunden. Condición: 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. Nº de ref. del artículo: 135466942
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Granular-Relational Data Mining
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Berlin Springer International Publishing Springer Feb 2017, 2017
ISBN 10: 3319527509
ISBN 13: 9783319527505
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319527505
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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence, 702)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Granular-Relational Data Mining : How to Mine Relational Data in the Paradigm of Granular Computing?
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Springer, Berlin, Springer International Publishing, Springer, 2017
ISBN 10: 3319527509
ISBN 13: 9783319527505
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319527505
Cantidad disponible: 2 disponibles
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Granular-relational Data Mining : How to Mine Relational Data in the Paradigm of Granular Computing?
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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence, 702)
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 28748220
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