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Relational knowledge discovery

作者: M E Müller
出版商: New York : Cambridge University Press, 2012.
叢書: Lecture notes on machine learning.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
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  再讀一些...
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類型/形式: Electronic books
其他的實體格式: Print version:
Müller, M.E. (Martin E.), 1970-
Relational knowledge discovery.
New York : Cambridge University Press, 2012
(DLC) 2011049968
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: M E Müller
ISBN: 9781139518185 1139518186 9781139047869 1139047868 1280773812 9781280773815 9781139516334 1139516337
OCLC系統控制編碼: 796214849
描述: 1 online resource.
内容: Cover; Relational Knowledge Discovery; Title; Copyright; Contents; About this book; What it is about; How it is organised; Thanks to:; Chapter 1: Introduction; 1.1 Motivation; 1.1.1 Different kinds of learning; 1.1.2 Applications; 1.2 Related disciplines; 1.2.1 Codes and compression; 1.2.2 Information theory; 1.2.3 Minimum description length; 1.2.4 Kolmogorov complexity; 1.2.5 Probability theory; Conclusion; Chapter 2: Relational knowledge; 2.1 Objects and their attributes; 2.1.1 Collections of things: sets; 2.1.2 Properties of things: relations; 2.1.3 Special properties of relations.
叢書名: Lecture notes on machine learning.
責任: M.E. Müller.

摘要:

Introductory textbook presenting relational methods in machine learning.  再讀一些...

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