03_​Time_​Series_​AR_​Deployment

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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

Nodes

• Column Rename (Regex)3 ×
• Row Filter3 ×
• Rule Engine3 ×
• Transpose3 ×
• Bar Chart2 ×
• Show all 38 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Javasnippet
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Personal Productivity Tools
• FeatureKNIME Quick Forms
• Show all 7 modules

Links

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