Relational Knowledge Discovery (Lecture Notes on Machine Learning) - Tapa blanda

Müller, M. E.

 
9780521122047: Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Tapa blanda
ISBN 10: 052112204X ISBN 13: 9780521122047
Editorial: Cambridge University Press, 2012

Sinopsis

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.

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Acerca del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Cambridge University Press
Año de publicación
2012
Idioma
Inglés
ISBN 10 
052112204X
ISBN 13 
9780521122047
Encuadernación
Tapa blanda
Número de páginas
278
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Alemania

Otras ediciones populares con el mismo título

9780521190213: Relational Knowledge Discovery Hardback

Edición Destacada

ISBN 10:  0521190215 ISBN 13:  9780521190213
Editorial: Cambridge University Press, 2012
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