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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 3/2011

01-09-2011 | Original Article

Problem of knowledge discovery in noisy databases

Authors: Vadim Vagin, Marina Fomina

Published in: International Journal of Machine Learning and Cybernetics | Issue 3/2011

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Abstract

The problem of information generalization for real data that may contain noisy data is considered. Various models of information noise are presented, and the influence of noise to the algorithms of generalization is discussed. We used the methods of constructing decision trees and forming production rules. The results of the modeling are presented.
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Metadata
Title
Problem of knowledge discovery in noisy databases
Authors
Vadim Vagin
Marina Fomina
Publication date
01-09-2011
Publisher
Springer-Verlag
Published in
International Journal of Machine Learning and Cybernetics / Issue 3/2011
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-011-0028-x

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