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.
Workflow 
Keras Autoencoder for Fraud Detection Deployment
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.0
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KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
Loading deployments
Loading ad hoc executions
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