That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...

Data Anomaly Detection Using a Neural Autoencoder with C#. 04/15/2024; Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from ...

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.