07_Four_Techniques_Outlier_Detection

Four Techniques for Outlier Detection

This workflow accesses a sample of data from the airline dataset and detects outlier airports based on the average arrival delay in them. The techniques applied are numeric outlier, z-score, DBSCAN and isolation forest. The outlier airports detected by each of these techniques are visualized on a map of US using the Geospatial Analytics Extension for KNIME.

External resources

• Airline data collected and published by DOT Bureau of Transportation Statistics
• Four Techniques for Outlier Detection