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2006 | OriginalPaper | Chapter

The Use of Compound Attributes inAQ Learning

Authors : Janusz Wojtusiak, Ryszard S. Michalski

Published in: Intelligent Information Processing and Web Mining

Publisher: Springer Berlin Heidelberg

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Compound attributes are named groups of attributes that have been introduced in Attributional Calculus (AC) to facilitate learning descriptions of objects whose components are characterized by different subsets of attributes. The need for such descriptions appears in many practical applications. A method for handling compound attributes in AQ learning and testing is described and illustrated by examples.

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previous chapter Attribute Number Reduction Process and Nearest Neighbor Methods in Machine Learning
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Metadata
Title
The Use of Compound Attributes inAQ Learning
Authors
Janusz Wojtusiak
Ryszard S. Michalski
Copyright Year
2006
Publisher
Springer Berlin Heidelberg
Book
Intelligent Information Processing and Web Mining

Print ISBN: 978-3-540-33520-7

Electronic ISBN: 978-3-540-33521-4

Copyright Year: 2006

DOI
https://doi.org/10.1007/3-540-33521-8_19

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