Relational Knowledge Discovery - Couverture rigide

M�ller, M. E.

9780521190213: Relational Knowledge Discovery

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ISBN 10 : 0521190215 ISBN 13 : 9780521190213

Editeur : Cambridge University Press, 2012

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Introductory textbook presenting relational methods in machine learning.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

M. E. Mueller is a Professor of Computer Science at the Bonn-Rhein-Sieg University of Applied Sciences.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Cambridge University Press
Date d'�dition: 2012
Langue: anglais
ISBN 10: 0521190215
ISBN 13: 9780521190213
Reliure: Reli�
Nombre de pages: 278
Coordonn�es du fabricant: non disponible
Personne responsable: Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
France

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Relational Knowledge Discovery

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ISBN 10 : 0521190215 ISBN 13 : 9780521190213

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Hardcover. Etat : Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. N� de r�f. du vendeur 6545-9780521190213

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Relational Knowledge Discovery

M�ller, M. E.

Edit� par Cambridge University Press, 2012

ISBN 10 : 0521190215 ISBN 13 : 9780521190213

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Relational Knowledge Discovery

M�ller, M. E.

Edit� par Cambridge University Press, 2012

ISBN 10 : 0521190215 ISBN 13 : 9780521190213

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Etat : New. N� de r�f. du vendeur I-9780521190213

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Relational Knowledge Discovery

M�ller, M. E.

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ISBN 10 : 0521190215 ISBN 13 : 9780521190213

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Relational Knowledge Discovery (Hardcover)

M.E. Mueller

Edit� par Cambridge University Press, Cambridge, 2012

ISBN 10 : 0521190215 ISBN 13 : 9780521190213

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Hardcover. Etat : new. Hardcover. What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches. What is knowledge and how is it represented? This introductory textbook presents relational methods in machine learning. Its clear and precise presentation is ideal for undergraduate computer science students and it will also interest those who study artificial intelligence or machine learning at the graduate level. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9780521190213

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