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  • Overview of Credit Card Fraud Detection Techniques
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Overview of Credit Card Fraud Detection Techniques

Credit card Fraud DBSCAN Box plot Z-score
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This workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on the same test set, and reported in terms of Recall and Precision.

External resources

  • Four Techniques for Outlier Detection
  • Fraud Detection using Random Forest, Neural Autoencoder, and Isolation Forest Techniques
  • Credit Card Fraud Detection on Kaggle
  • Overview of Credit Card Fraud Detection Techniques

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Created with KNIME Analytics Platform version 4.5.2 Note: Not all extensions may be displayed.
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