Artículos relacionados a Relational Knowledge Discovery Paperback (Lecture Notes...
Sinopsis
Introductory textbook presenting relational methods in machine learning.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
Comprar nuevo
Ver este artículo
EUR 31,91
EUR 18,94 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Relational Knowledge Discovery Paperback (Lecture Notes...
Imagen de archivo
Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Tapa blanda
Librería: Labyrinth Books, Princeton, NJ, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 144802
Cantidad disponible: 5 disponibles
Imagen de archivo
Relational Knowledge Discovery
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Paperback / softback
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 550. Nº de ref. del artículo: C9780521122047
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Tapa blanda
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9780521122047_new
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Relational Knowledge Discovery
Impresión bajo demandaLibrería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 1st edition. 288 pages. 9.61x6.77x0.63 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __052112204X
Cantidad disponible: 1 disponibles
Imagen de archivo
Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9780521122047
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Relational Knowledge Discovery (Lecture Notes on Machine Learning)
Publicado por
Cambridge University Press 2012-06-21, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Paperback
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9780521122047
Cantidad disponible: 10 disponibles
Imagen del vendedor
Relational Knowledge Discovery
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 446926809
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Relational Knowledge Discovery (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9780521122047
Cantidad disponible: 1 disponibles
Imagen del vendedor
Relational Knowledge Discovery
Publicado por
Cambridge University Press, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9780521122047
Cantidad disponible: 1 disponibles
Imagen de archivo
Relational Knowledge Discovery (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2012
ISBN 10: 052112204X
ISBN 13: 9780521122047
Nuevo
Paperback
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9780521122047
Cantidad disponible: 1 disponibles