A Survey on Deep Learning-based Anomaly Detection Models for Time Series Data

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dc.contributor.authorYao, Yuko
dc.contributor.author강준혁ko
dc.contributor.author이재길ko
dc.date.accessioned2020-11-05T05:55:31Z-
dc.date.available2020-11-05T05:55:31Z-
dc.date.created2020-11-04-
dc.date.issued2019-06-27-
dc.identifier.citation2019 한국컴퓨터종합학술대회 Korea Computer Congress 2019, pp.919 - 921-
dc.identifier.urihttp://hdl.handle.net/10203/277132-
dc.languageEnglish-
dc.publisher한국정보과학회-
dc.titleA Survey on Deep Learning-based Anomaly Detection Models for Time Series Data-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage919-
dc.citation.endingpage921-
dc.citation.publicationname2019 한국컴퓨터종합학술대회 Korea Computer Congress 2019-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation제주국제컨벤션센터-
dc.contributor.localauthor이재길-
dc.contributor.nonIdAuthorYao, Yu-
dc.contributor.nonIdAuthor강준혁-
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CS-Conference Papers(학술회의논문)
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