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
Anomaly Detection. Time Series AR Deployment
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.2
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
Loading deployments
Loading ad hoc executions
Legal
By using or downloading the workflow, you agree to our terms and conditions.
Discussion
Discussions are currently not available, please try again later.