The neural autoencoder anomaly detection technique presented in this article is just one of many ways to look for data anomalies. The technique assumes you are working with tabular data, such as log ...

Unsupervised anomaly detection uses an unlabeled test set of data. It involves training a machine learning (ML) model to identify normal behavior using an unlabeled dataset.

An AI-based anomaly detection tool went live in September, which is used to uncover suspicious transactions in the clearing and settlement process between banks.” Criminals are persistently finding ...

The Data Science Lab. 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 ...