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시계열 데이터의 자동기계학습을 위한 메타 모델 기반의 특징 선택 방법
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 류서현 | - |
| dc.contributor.author | 이다경 | - |
| dc.contributor.author | 안길승 | - |
| dc.contributor.author | 허선 | - |
| dc.date.accessioned | 2023-07-27T12:05:48Z | - |
| dc.date.available | 2023-07-27T12:05:48Z | - |
| dc.date.created | 2023-06-22 | - |
| dc.date.issued | 2023-02 | - |
| dc.identifier.issn | 1225-0988 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/188179 | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | 시계열 데이터의 자동기계학습을 위한 메타 모델 기반의 특징 선택 방법 | - |
| dc.title.alternative | A Meta Model-based Feature Selection Method for AutoML of Time Series Data | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 허선 | - |
| dc.identifier.doi | 10.7232/JKIIE.2023.49.1.015 | - |
| dc.identifier.bibliographicCitation | 대한산업공학회지, v.49, no.1, pp.15 - 27 | - |
| dc.relation.isPartOf | 대한산업공학회지 | - |
| dc.citation.title | 대한산업공학회지 | - |
| dc.citation.volume | 49 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 15 | - |
| dc.citation.endPage | 27 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART002930251 | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Automated Machine Learning(AutoML) | - |
| dc.subject.keywordAuthor | Feature Selection | - |
| dc.subject.keywordAuthor | Time Series Classification | - |
| dc.subject.keywordAuthor | Decision Tree | - |
| dc.subject.keywordAuthor | Meta-Learning | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11212526 | - |
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