Relational Knowledge Discovery

Name: Relational Knowledge Discovery
Brand: Cambridge University Press
SKU: 9780521190213
Price: 8955.00 INR
Availability: InStock
ISBN: 9780521190213

Contributor(s): Muller, M. E. Author Format: Hardback

Hardback · ISBN 9780521190213

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Key Specifications

ISBN	9780521190213
Publisher	Cambridge University Press
Publication date	June 2012
Language	English
MRP	£71.00 GBP
Page count	278
Item weight	142 g

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.

Relational Knowledge Discovery

Key Specifications

Muller, M. E. Author

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