Articles liés à Relational Knowledge Discovery
Synopsis
Introductory textbook presenting relational methods in machine learning.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À 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 référence à une autre édition de ce titre.
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Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Couverture souple
Vendeur : Labyrinth Books, Princeton, NJ, Etats-Unis
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Etat : New. N° de réf. du vendeur 144802
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Relational Knowledge Discovery
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 550. N° de réf. du vendeur C9780521122047
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Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Couverture souple
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Relational Knowledge Discovery
impression à la demandeVendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 1st edition. 288 pages. 9.61x6.77x0.63 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __052112204X
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Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Edité par
Cambridge University Press 2012-06-21, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Paperback
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9780521122047
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Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Relational Knowledge Discovery
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 artifi. N° de réf. du vendeur 446926809
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Relational Knowledge Discovery (Paperback)
Edité par
Cambridge University Press, Cambridge, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Paperback. Etat : new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521122047
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Relational Knowledge Discovery
Edité par
Cambridge University Press, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9780521122047
Quantité disponible : 1 disponible(s)
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Relational Knowledge Discovery (Paperback)
Edité par
Cambridge University Press, Cambridge, 2012
ISBN 10 : 052112204X
ISBN 13 : 9780521122047
Neuf
Paperback
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780521122047
Quantité disponible : 1 disponible(s)