Return to home page
Searching: Muskingum library catalog
We are currently experiencing delivery delays for items requested from other institutions while transitioning to a new statewide delivery service. Please contact your library with questions or advice about alternative resources. Thank you for your patience!
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Author Müller, M. E. (Martin E.), 1970-
Title Relational knowledge discovery / M.E. Müller.
Imprint New York : Cambridge University Press, 2012.

Author Müller, M. E. (Martin E.), 1970-
Series Lecture notes on machine learning
Lecture notes on machine learning.
Subject Computational learning theory.
Machine learning.
Relational databases.
Description 1 online resource
Bibliography Note Includes bibliographical references and index.
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 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.
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.
Note Print version record.
ISBN 9781139518185 (electronic bk.)
1139518186 (electronic bk.)
9781139047869 (electronic bk.)
1139047868 (electronic bk.)
1280773812
9781280773815
9781139516334
1139516337
9780521190213 (Cloth)
0521190215 (Cloth)
ISBN/ISSN 9786613684585
OCLC # 796214849
Additional Format Print version: Müller, M.E. (Martin E.), 1970- Relational knowledge discovery. New York : Cambridge University Press, 2012 9780521190213 (DLC) 2011049968



If you experience difficulty accessing or navigating this content, please contact the OPAL Support Team