Credit Card Fraud Detection Techniques - Overview

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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.

URL: Four Techniques for Outlier Detection https://www.knime.com/blog/four-techniques-for-outlier-detection
URL: Fraud Detection using Random Forest, Neural Autoencoder, and Isolation Forest Techniques https://www.knime.com/blog/fraud-detection-using-random-forest
URL: Credit Card Fraud Detection on Kaggle https://www.kaggle.com/mlg-ulb/creditcardfraud
URL: Overview of Credit Card Fraud Detection Techniques https://youtu.be/-S5f87k8LXI

Nodes

• Table Row to Variable15 ×
• Row Filter14 ×
• Column Renamer13 ×
• Column Filter11 ×
• Constant Value Column8 ×
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Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Deep Learning - Keras Integration
• FeatureKNIME Distance Matrix
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME Expressions
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