Anomaly detection

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Outlier / Anomaly detection

Anomaly detection of numeric data

  • Median
  • Range Checks
  • All values is event
  • The values are the same even the column is totally different

Anomaly detection of categorical data (qualitative variable)

  • Normal distribution e.g. The interest of audiences should be very different NOT coherent

Anomaly detection for time series data

  • Trend
  • Dramatically Increase or decrease of rows count for each time period

Anomaly detection for stirng data

  • created time of the text message
  • time frequency of the text message
  • length of the text message

More on: Outlier - Wikipedia