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H2o
Isolation Forest
Credit card
Banking
Fraud Fraud detection Cyber security Cybersecurity Outlier detection
  1. Workflow
    Fraud Detection by Unsupervised Learning
    Fraud Fraud detection Banking
    +8
    This workflow reads in the creditcard.csv file and trains and evaluates an Isolation Forest model that detects fraudulent transac…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Exercises > 02_Fraud_Detection_by_Unsupervised_Learning
    0
    knime
  2. Workflow
    Fraud Detection by Unsupervised Learning
    Fraud Fraud detection Banking
    +8
    This workflow reads in the creditcard.csv file and trains and evaluates an Isolation Forest model that detects fraudulent transac…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Solutions > 02_Fraud_Detection_by_Unsupervised_Learning
    0
    knime
  3. Workflow
    Isolation Forest for Fraud Detection: Model Training
    Fraud H2o Isolation forest
    +3
    This workflow uses the KNIME H2O Machine Learning Integration to train an isolation forest model for fraud detection.
    knime > Examples > 50_Applications > 39_Fraud_Detection > 05_Isolation_Forest_for_Fraud_Detection_Training
    0
    knime
  4. Workflow
    Isolation Forest for Fraud Detection: Model Deployment
    Fraud detection Deployment Isolation forest
    +5
    This workflow reads the trained isolation forest model, as well as the new transaction and applies the model to it. Based on the …
    knime > Examples > 50_Applications > 39_Fraud_Detection > 06_Isolation_Forest_for_Fraud_Detection_Deployment
    0
    knime