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
Workflow
03_Time_Series_AR_Deployment
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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