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Anomaly detection

22.2K
Volume
+335%
Growth
exploding

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About the Topic

Technique used in data analysis to identify unusual patterns that do not conform to expected behavior. It is widely used in fields such as fraud detection, network security, and fault detection, employing methods like statistical analysis, machine learning, and deep learning. Anomaly detection is crucial for industries that need to identify and mitigate potential issues before they escalate.

Anomaly detection was discovered on January 13th 2021 and it currently has a search volume of 22.2K with a growth of +567%.

Key Indicators
Growth
  • Exploding
  • Regular
  • Peaked
Speed
  • Exponential
  • Constant
  • Stationary
Seasonality
  • High
  • Medium
  • Low
Volatility
  • High
  • Average
  • Low
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