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MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay.

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Title: MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay.
Authors: Wang, Kang1, Kong, Jun1, kongjun@jiangnan.edu.cn, Zhang, Meicheng2, Jiang, Min2, Liu, Tianshan3
Source: Neurocomputing; Jun2025, Vol. 635, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184601478
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Jun2025, Vol. 635, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184601478
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neucom.2025.129887
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      – Code: eng
        Text: English
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      – TitleFull: MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay.
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            NameFull: Wang, Kang
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            NameFull: Zhang, Meicheng
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              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 635
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