Robustness of Data Mining Tools under Varying Levels of Noise: Case Study in Predicting a Chaotic Process

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dc.contributor.authors.h. kimko
dc.contributor.authorc.m. leeko
dc.contributor.authorh.s. ohko
dc.contributor.author김형관ko
dc.date.accessioned2013-02-28T04:51:04Z-
dc.date.available2013-02-28T04:51:04Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1998-
dc.identifier.citation한국경영과학회지, v.23, no.1, pp.109 - 141-
dc.identifier.issn1225-1119-
dc.identifier.urihttp://hdl.handle.net/10203/72859-
dc.publisher한국경영과학회-
dc.titleRobustness of Data Mining Tools under Varying Levels of Noise: Case Study in Predicting a Chaotic Process-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume23-
dc.citation.issue1-
dc.citation.beginningpage109-
dc.citation.endingpage141-
dc.citation.publicationname한국경영과학회지-
dc.contributor.localauthor김형관-
dc.contributor.nonIdAuthors.h. kim-
dc.contributor.nonIdAuthorc.m. lee-
dc.contributor.nonIdAuthorh.s. oh-
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