Preparing the raw source data usually requires most of the time and effort for anomaly detection using a neural autoencoder, ... Theoretically, it's best to encode as minus-one-plus-one, for example ...

Anomaly detection using a deep neural autoencoder is not a well-known technique. An advantage of using a neural technique compared to a standard clustering technique is that neural techniques can ...

The problem of anomaly detection is not new, and a number of solutions have already been proposed over the years. However, before starting with the list of techniques, let's agree on a necessary ...