DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yao, Yu | ko |
dc.contributor.author | 강준혁 | ko |
dc.contributor.author | 이재길 | ko |
dc.date.accessioned | 2020-11-05T05:55:31Z | - |
dc.date.available | 2020-11-05T05:55:31Z | - |
dc.date.created | 2020-11-04 | - |
dc.date.issued | 2019-06-27 | - |
dc.identifier.citation | 2019 한국컴퓨터종합학술대회 Korea Computer Congress 2019, pp.919 - 921 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277132 | - |
dc.language | English | - |
dc.publisher | 한국정보과학회 | - |
dc.title | A Survey on Deep Learning-based Anomaly Detection Models for Time Series Data | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 919 | - |
dc.citation.endingpage | 921 | - |
dc.citation.publicationname | 2019 한국컴퓨터종합학술대회 Korea Computer Congress 2019 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 제주국제컨벤션센터 | - |
dc.contributor.localauthor | 이재길 | - |
dc.contributor.nonIdAuthor | Yao, Yu | - |
dc.contributor.nonIdAuthor | 강준혁 | - |
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