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"A Novel Hybrid Methodology for Anomaly Detection in Time Series."

Lejla Begic Fazlic et al. (2022)

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DOI: 10.1007/S44196-022-00100-W

access: closed

type: Journal Article

metadata version: 2022-08-08

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  dblp key:
  - journals/ijcisys/FazlicHSLMPMVWD22
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  persistent URL:
  - https://dblp.org/rec/journals/ijcisys/FazlicHSLMPMVWD22
Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann:
A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int. J. Comput. Intell. Syst. 15(1): 50 (2022)

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