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【2012】Relational Knowledge Discovery

Book 图书名称： Relational Knowledge Discovery
Author 作者： M. E. Müller
Publisher 出版社：Cambridge University Press
Page 页数： 278
Publishing Date 出版时间： Jul 30, 2012
Language 语言： English
Size 大小： 2 MB
Format 格式： pdf 文字版
ISBN: 0521190215, 9780521899925
Edition: 第1版 搜索过论坛，没有该文档

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.

== Table of contents ==
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