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On using rule induction in multiple classifiers with a combiner aggregation strategy
Poznan University of Technology.
Lund University.ORCID iD: 0000-0002-7796-5201
2005 (English)In: Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05, Los Alamitos: IEEE Computer Society, 2005, 432-437 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper is an experimental study of using the rough sets based rule induction algorithm MODLEM in the framework of multiple classifiers. Particular attention is paid to using a meta-classifier called combiner, which learns how to aggregate answers of component classifiers. The experimental results confirm that the range of classification improvement for the combiner depends on the independence of errors made by the component classifiers. Moreover, we summarize the experience with using MODLEM in other multiple classifiers, namely the bagging and n 2 classifiers. © 2005 IEEE.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2005. 432-437 p.
Keyword [en]
Algorithms, Classification (of information), Classifiers, Error analysis, Metadata
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-21123DOI: 10.1109/ISDA.2005.74ISI: 000233058700073Scopus ID: 2-s2.0-33847004781ISBN: 978-076952286-9 OAI: oai:DiVA.org:hh-21123DiVA: diva2:588349
Conference
5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05, 8-10 September 2005, Wroclaw, Poland
Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2013-10-28Bibliographically approved

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Nowaczyk, Sławomir
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
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Output format
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