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 ?
dateModified2025-12-12
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Anomaly detection is also related to

  • Computing platform
  • Application software
  • Software
  • Machine learning
  • Cloud computing
  • Algorithm
  • Digitization
  • Data set
  • Computer program
  • Natural language processing
  • Update
  • Routing protocol
  • Software agent
  • Enterprise application integration
  • Computer simulation
  • Uptime
  • Training, validation, and test data sets
  • Software maintenance
  • Large language model
  • Computer data storage

    • Questions asked on the web about Anomaly detection:

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