Keras Autoencoder for Fraud Detection Deployment

Workflow

Keras Autoencoder for Fraud Detection Deployment

autoencoder Keras neural network backpropagation deep learning +13

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Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calculate reconstruction errors. Based on the reconstruction errors and a predefined threshold, assign label "fraud"/"normal" to the transactions in the deployment data.

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Keras Autoencoder for Fraud Detection Deployment

Used extensions & nodes

KNIME Base nodes Trusted extension

KNIME Deep Learning - Keras Integration Trusted extension

KNIME Javasnippet Trusted extension

KNIME Python Integration Trusted extension

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KNIME Base nodes

KNIME Deep Learning - Keras Integration

KNIME Javasnippet

KNIME Python Integration