Extended Forecasts of a Stock Index using Learning Techniques: A Study of Predictive Granularity and Input Diversity

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dc.contributor.authorkim s.h.ko
dc.contributor.authord.y. leeko
dc.date.accessioned2013-02-27T23:02:07Z-
dc.date.available2013-02-27T23:02:07Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-
dc.identifier.citationJOURNAL OF MIS RESEARCH, v.7, no.1, pp.67 - 83-
dc.identifier.urihttp://hdl.handle.net/10203/71352-
dc.languageEnglish-
dc.publisher한국경영정보학회-
dc.titleExtended Forecasts of a Stock Index using Learning Techniques: A Study of Predictive Granularity and Input Diversity-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume7-
dc.citation.issue1-
dc.citation.beginningpage67-
dc.citation.endingpage83-
dc.citation.publicationnameJOURNAL OF MIS RESEARCH-
dc.contributor.localauthorkim s.h.-
dc.contributor.nonIdAuthord.y. lee-
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