anomaly detection

The process of identifying rare or unexpected items or events in a dataset that do not conform to other items in the dataset and do not match a projected pattern or expected behavior. Anomalies are also called outliers, exceptions, surprises or contaminants and they often provide critical and actionable information.

Recent Posts
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.