39_Fraud_Detection
This directory contains 6 workflows.
01_Fraud_Detection_Model_Training
Fraud Detection: Model Training This workflow reads in the creditcard.csv file and trains and evaluates a Random Forest model to classify transactions […]
02_Fraud_Detection_Deployment
Fraud Detection: Model Deployment This workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model […]
03_Keras_Autoencoder_for_Fraud_Detection_Training
Keras Autoencoder for Fraud Detection Training Partition numeric input data into a training, test, and validation set. Normalize the data into range […]
04_Keras_Autoencoder_for_Fraud_Detection_Deployment
Keras Autoencoder for Fraud Detection Deployment Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to […]
05_Isolation_Forest_for_Fraud_Detection_Training
Isolation Forest for Fraud Detection: Model Training This workflow uses the KNIME H2O Machine Learning Integration to train an isolation forest model for […]
06_Isolation_Forest_for_Fraud_Detection_Deployment
Isolation Forest for Fraud Detection: Model Deployment This workflow reads the trained isolation forest model, as well as the new transaction and applies […]