Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 02_ETL_Data_Manipulation
  • 01_Filtering
  • 07_Four_Techniques_Outlier_Detection
  • Four_Techniques_Outlier_Detection
WorkflowWorkflow

Four Techniques for Outlier Detection

preprocessing outlier data cleaning z-score DBSCAN +2

Last edited: 

Drag Workflow
Workflow preview
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.

External resources

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

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.1 Note: Not all extensions may be displayed.
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

  • KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Open Street Map Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

Legal

By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits