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Universal Anomaly Detection Method Based on Massive Monitoring Indicators of Cloud Platform

Bibliographic Details
Title: Universal Anomaly Detection Method Based on Massive Monitoring Indicators of Cloud Platform
Authors: Li, Min, Tang, Dingyong, Wen, Zepeng, Cheng, Yunchang
Source: 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) Software Engineering and Artificial Intelligence (SEAI), 2021 IEEE International Conference on. :23-29 Jun, 2021
Relation: 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI)
Database: IEEE Xplore Digital Library
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  Availability: 0
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.9477532
RelevancyScore: 1026
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1026.41577148438
IllustrationInfo
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  Data: Universal Anomaly Detection Method Based on Massive Monitoring Indicators of Cloud Platform
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  Data: 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) Software Engineering and Artificial Intelligence (SEAI), 2021 IEEE International Conference on. :23-29 Jun, 2021
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  Data: 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/SEAI52285.2021.9477532
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 23
    Titles:
      – TitleFull: Universal Anomaly Detection Method Based on Massive Monitoring Indicators of Cloud Platform
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      – PersonEntity:
          Name:
            NameFull: Li, Min
      – PersonEntity:
          Name:
            NameFull: Tang, Dingyong
      – PersonEntity:
          Name:
            NameFull: Wen, Zepeng
      – PersonEntity:
          Name:
            NameFull: Cheng, Yunchang
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          Dates:
            – D: 11
              M: 06
              Type: published
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781665418898
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              Value: 9781665418881
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            – TitleFull: 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI), Software Engineering and Artificial Intelligence (SEAI), 2021 IEEE International Conference on
              Type: main
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