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Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining.
Fan, Lilin; Zhang, Jiahu; Mao, Wentao; Cao, Fukang.
Afiliación
  • Fan L; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
  • Zhang J; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
  • Mao W; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
  • Cao F; College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
Entropy (Basel) ; 25(1)2023 Jan 07.
Article en En | MEDLINE | ID: mdl-36673264
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China