An Extended Version of the CPT-based Estimation for Missing Values in Nominal Attributes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 고송 | - |
dc.contributor.author | 김대원 | - |
dc.date.available | 2019-08-28T10:00:59Z | - |
dc.date.issued | 2010-12 | - |
dc.identifier.issn | 1598-2645 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/36133 | - |
dc.description.abstract | The causal network represents the knowledge related to the dependency relationship between all attributes. If the causal network is available, the dependency relationship can be employed to estimate the missing values for improving the estimation performance. However, the previous method had a limitation in that it did not consider the bidirectional characteristic of the causal network. The proposed method considers the bidirectional characteristic by applying prior and posterior conditions, so that it outperforms the previous method. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국지능시스템학회 | - |
dc.title | An Extended Version of the CPT-based Estimation for Missing Values in Nominal Attributes | - |
dc.title.alternative | An Extended Version of the CPT-based Estimation for Missing Values in Nominal Attributes | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | International Journal of Fuzzy Logic and Intelligent systems, v.10, no.4, pp 253 - 258 | - |
dc.identifier.kciid | ART001504240 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 258 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 253 | - |
dc.citation.title | International Journal of Fuzzy Logic and Intelligent systems | - |
dc.citation.volume | 10 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Causal Network | - |
dc.subject.keywordAuthor | Missing Values | - |
dc.subject.keywordAuthor | Dependency Relationship | - |
dc.subject.keywordAuthor | Estimation | - |
dc.description.journalRegisteredClass | kci | - |
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