Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 50_Applications
  • 39_Fraud_Detection
  • 06_Isolation_Forest_for_Fraud_Detection_Deployment
WorkflowWorkflow

Isolation Forest for Fraud Detection: Model Deployment

Fraud detection Deployment Isolation forest H2o Fraud
+3

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow reads the trained isolation forest model, as well as the new transaction and applies the model to it. Based on the isolation number (mean length) and a threshold the workflow detects fraudulent transactions and sends an email, if the isolation number is higher than the threshold. The isolation forest model is a part of the KNIME H2O Machine Learning Integration.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
  • Go to item
    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  • Go to item
    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

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

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
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits