Anomaly Detection. Time Series AR Deployment This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two months of its past values must be available. - Loop over each frequency column - Apply the previously trained auto-regressive model to the data - Calculate 1st level alarms based on the prediction errors - Calculate 2nd level alarms as the moving average of the 1st level alarms - Trigger an action if a 2nd level alarm is active
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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