跳到内容
Relational knowledge discovery 预览资料
关闭预览资料
正在查...

Relational knowledge discovery

著者: M E Müller
出版商: New York : Cambridge University Press, 2012.
丛书: Lecture notes on machine learning.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
数据库: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  再读一些...
评估:

(尚未评估) 0 附有评论 - 争取成为第一个。

主题
更多类似这样的

 

在线查找

在图书馆查找

&AllPage.SpinnerRetrieving; 正在查找有这资料的图书馆...

详细书目

类型/形式: Electronic books
附加的形体格式: Print version:
Müller, M.E. (Martin E.), 1970-
Relational knowledge discovery.
New York : Cambridge University Press, 2012
(DLC) 2011049968
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: M E Müller
ISBN: 9781139518185 1139518186 9781139047869 1139047868 1280773812 9781280773815 9781139516334 1139516337
OCLC号码: 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.
丛书名: Lecture notes on machine learning.
责任: M.E. Müller.

摘要:

Introductory textbook presenting relational methods in machine learning.  再读一些...

评论

用户提供的评论
正在获取GoodReads评论...
正在检索DOGObooks的评论

标签

争取是第一个!
确认申请

你可能已经申请过这份资料。如果还是想申请,请选确认。

链接数据


<http://www.worldcat.org/oclc/796214849>
library:oclcnum"796214849"
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/796214849>
rdf:typeschema:Book
schema:about
schema:about
<http://id.worldcat.org/fast/871997>
rdf:typeschema:Intangible
schema:name"Computational learning theory"@en
schema:name"Computational learning theory."@en
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:creator
schema:datePublished"2012"
schema:description"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."@en
schema:description"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."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/1075036730>
schema:genre"Electronic books."@en
schema:inLanguage"en"
schema:name"Relational knowledge discovery"@en
schema:publisher
schema:url<http://public.eblib.com/EBLPublic/PublicView.do?ptiID=944687>
schema:url<http://www.myilibrary.com?id=368458>
schema:url<http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=458582>
schema:url
schema:url<http://dx.doi.org/10.1017/CBO9781139047869>
schema:workExample
schema:workExample
schema:workExample
schema:workExample

Content-negotiable representations

关闭窗口

请登入WorldCat 

没有张号吗?很容易就可以 建立免费的账号.