Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2192-113X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model ; volume:11 ; number:1 ; day:29 ; month:9 ; year:2022 ; pages:1-16 ; date:12.2022
Journal of Cloud Computing ; 11, Heft 1 (29.9.2022), 1-16, 12.2022
- Creator
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Liu, Xiangyu
Zhu, Shibing
Yang, Fan
Liang, Shengjun
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13677-022-00328-z
- URN
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urn:nbn:de:101:1-2022121709032158475047
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
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Associated
- Liu, Xiangyu
- Zhu, Shibing
- Yang, Fan
- Liang, Shengjun
- SpringerLink (Online service)
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