Missing values in fuzzy rule induction

dc.contributor.authorGabriel, Thomas R.
dc.contributor.authorBerthold, Michael R.
dc.date.accessioned2013-08-23T12:19:31Zdeu
dc.date.available2013-08-23T12:19:31Zdeu
dc.date.issued2005
dc.description.abstractIn this paper, we show how an existing fuzzy rule induction algorithm can incorporate missing values in the training procedure in a very natural way. The underlying algorithm generates rules which restrict the feature space only along a few, important attributes. This property can be used to limit the algorithm's three major steps to the reduced feature space for each training instance, which allows the features for which no values are known to be ignored. Hence no replacement is necessary and the algorithm simply uses all available knowledge from each training instance. We demonstrate on data sets from the UCI repository that this method works well, generates rule sets that have comparable classification accuracy, and are, at times, even smaller than the rule sets generated by the original algorithm.eng
dc.description.versionpublished
dc.identifier.citationProceedings : the International Conference on Systems, Man and Cybernetics, Waikoloa Hilton Village, Waikoloa, Hawaii, USA, October 10-12, 2005; Vol. 2 ; [sponsored by the IEEE Systems, Man and Cybernetics Society]. - Piscataway, N.J. : Institute of Electrical and Electronics Engineers, 2005. - S. 1473-1476. - ISBN 0-7803-9298-1deu
dc.identifier.doi10.1109/ICSMC.2005.1571354deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/24305
dc.language.isoengdeu
dc.legacy.dateIssued2013-08-23deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleMissing values in fuzzy rule inductioneng
dc.typeINPROCEEDINGSdeu
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@inproceedings{Gabriel2005Missi-24305,
  year={2005},
  doi={10.1109/ICSMC.2005.1571354},
  title={Missing values in fuzzy rule induction},
  isbn={0-7803-9298-1},
  publisher={IEEE},
  booktitle={2005 IEEE International Conference on Systems, Man and Cybernetics},
  pages={1473--1476},
  author={Gabriel, Thomas R. and Berthold, Michael R.}
}
kops.citation.iso690GABRIEL, Thomas R., Michael R. BERTHOLD, 2005. Missing values in fuzzy rule induction. 2005 IEEE International Conference on Systems, Man and Cybernetics. Waikoloa, HI, USA. In: 2005 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2005, pp. 1473-1476. ISBN 0-7803-9298-1. Available under: doi: 10.1109/ICSMC.2005.1571354deu
kops.citation.iso690GABRIEL, Thomas R., Michael R. BERTHOLD, 2005. Missing values in fuzzy rule induction. 2005 IEEE International Conference on Systems, Man and Cybernetics. Waikoloa, HI, USA. In: 2005 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2005, pp. 1473-1476. ISBN 0-7803-9298-1. Available under: doi: 10.1109/ICSMC.2005.1571354eng
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kops.conferencefield2005 IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, HI, USAdeu
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kops.location.conferenceWaikoloa, HI, USA
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kops.sourcefield.plain2005 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2005, pp. 1473-1476. ISBN 0-7803-9298-1. Available under: doi: 10.1109/ICSMC.2005.1571354deu
kops.sourcefield.plain2005 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2005, pp. 1473-1476. ISBN 0-7803-9298-1. Available under: doi: 10.1109/ICSMC.2005.1571354eng
kops.submitter.emailchristoph.petzmann@uni-konstanz.dedeu
kops.title.conference2005 IEEE International Conference on Systems, Man and Cybernetics
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