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Relational knowledge discovery

Author: M E Müller
Publisher: New York : Cambridge University Press, 2012.
Series: Lecture notes on machine learning.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Müller, M.E. (Martin E.), 1970-
Relational knowledge discovery.
New York : Cambridge University Press, 2012
(DLC) 2011049968
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: M E Müller
ISBN: 9781139518185 1139518186 9781139047869 1139047868 1280773812 9781280773815 9781139516334 1139516337
OCLC Number: 796214849
Description: 1 online resource.
Contents: 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.
Series Title: Lecture notes on machine learning.
Responsibility: M.E. Müller.

Abstract:

Introductory textbook presenting relational methods in machine learning.  Read more...

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