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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 KNIME OSM integration.

Read Data Preprocess Data Outlier Detection - Numeric Outlier Outlier Visualization This workflow detects outliers in the data using the following techniques: numeric outlier, z-score, DBSCAN and isolation forest. Outlier Detection - Z-Score Outlier Detection - DBSCAN Outlier Detection - Isolation Forest Detect outliersGroup by arrival airportRead airlinedataClusteringDistance functionDetect outliersk-valueThreshold zMinPtsEpsilonNode 834Isolation forest MapViz Numeric Outliers Preproc Read data DBSCAN Numeric Distances Mark outliers Row Filter Density of delay Mark outliers Mark outliers Mark outliers MapViz MapViz MapViz DoubleConfiguration DoubleConfiguration IntegerConfiguration DoubleConfiguration Merge Variables Python Script(legacy) Read Data Preprocess Data Outlier Detection - Numeric Outlier Outlier Visualization This workflow detects outliers in the data using the following techniques: numeric outlier, z-score, DBSCAN and isolation forest. Outlier Detection - Z-Score Outlier Detection - DBSCAN Outlier Detection - Isolation Forest Detect outliersGroup by arrival airportRead airlinedataClusteringDistance functionDetect outliersk-valueThreshold zMinPtsEpsilonNode 834Isolation forestMapViz Numeric Outliers Preproc Read data DBSCAN Numeric Distances Mark outliers Row Filter Density of delay Mark outliers Mark outliers Mark outliers MapViz MapViz MapViz DoubleConfiguration DoubleConfiguration IntegerConfiguration DoubleConfiguration Merge Variables Python Script(legacy)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Maarit Laukkanen
Created at: 2018-06-20
On NodePit since: 2023-05-08
Last update: 2024-04-28
Created with KNIME version: v4.7.2
Tags: preprocessingoutlierdata cleaningz-scoreDBSCANnumeric outlierisolation forest

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