Anomaly detection is the process of finding and identifying point, contextual or collective anomalies that fall outside the bounds of defined policies. Detection itself is only the first step; further ...

Anomaly Detection – Unsupervised Approach Following its etymology, an anomaly is any deviation from a rule. Consequently any violation of the standard behavior traced in historical data can be ...

Anomaly detection algorithms are leading the charge to take organizations away from the limitations of manually monitoring datasets. In its place is a wave of solutions that can not only make use of ...

This is anomaly detection at play. Engineers, scientists and technologists have historically counted on anomaly detection to prevent industrial accidents, stop financial fraud, intervene early to ...

What does anomaly detection actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

An anomaly is a violation of expectancy. However, the analytical community uses it to describe statistical outliers, which misses the cognitive dimension.

Most XAI-driven anomaly-detection use cases require excellent computer vision, sound analysis, sensor-fusion capabilities, and multiple AI network models.

Anomaly detection is an important AI tool, analyzing time-series data for items that are outside normal operating characteristics for the data source.