07_​Four_​Techniques_​Outlier_​Detection

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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.

URL: Four Techniques for Outlier Detection https://www.knime.com/blog/four-techniques-for-outlier-detection
URL: Airline data collected and published by DOT Bureau of Transportation Statistics https://www.transtats.bts.gov/OT_Delay/OT_DelayCause1.asp

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• Constant Value Column4 ×
• Double Configuration4 ×
• Rule Engine4 ×
• Column Filter3 ×
• Column Resorter2 ×
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• FeatureKNIME Base nodes
• FeatureKNIME Distance Matrix
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