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Choosing Between Autoencoder with OC-SVM and Reconstruction Error for Anomaly Detection: Training Strategies and Considerations
I plan to use an autoencoder and One-class SVM (OC SVM) for anomaly detection. So there are 2 strategies: train the autoencoder, and use the encoder output (as reduced dimension) to train an OC SVM ...
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Identify the parameter causing the anomaly in a multivariate dataset
I have a payment transaction dataset with a large number of predictor variables. I am trying to build a model for anomaly detection and I have evaluated various algorithms/approaches for the same like ...
