There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...

Unsupervised anomaly detection uses an unlabeled test set ... and CICIDS2017 data sets. The calculated output demonstrated for the Autoencoder and GAN solution was highly effective in determining ...

came from the neural autoencoder. Because of the very nature of an outlier event and, therefore, of an outlier detection technique, none of the strategies were immune from the false positives. At ...