Anomaly detection ID: e/vb_438420

In data analysis, anomaly detection is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behavior.

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descriptionIn data analysis, anomaly detection is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behavior.
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https://en.wikipedia.org/wiki/Anomaly_detection

https://fr.wikipedia.org/wiki/Détection_d'anomalies

https://es.wikipedia.org/wiki/Detección_de_anomalías

https://www.wikidata.org/wiki/Q3560506
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nameWhich machine learning technique that helps in detecting the outliers in data ?
dateModified2025-10-22
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Anomaly detection is also related to

  • Application software
  • Software
  • Computing platform
  • Cloud computing
  • Machine learning
  • Digitization
  • Algorithm
  • Update
  • Data set
  • Server (computing)
  • Configurator
  • Service-oriented architecture
  • Software maintenance
  • Software agent
  • Software as a service
  • Software versioning
  • Natural language processing
  • Amazon Web Services
  • Logging (computing)
  • Web framework

    • Questions asked on the web about Anomaly detection:

  • Which machine learning technique that helps in detecting the outliers in data ?