Sentence examples for contextual anomaly from inspiring English sources

The accuracy shortcoming will be handled by the contextual anomaly detector.

This allows the algorithm to be compared and optimized at two distinct steps: point anomaly detection, and contextual anomaly detection.

Contextual anomaly detection seeks to find relationships within datasets where variations in external behavioural attributes well describe anomalous results in the data.

The second approach generally requires a higher computational complexity than the first approach as the underlying algebra in calculating a contextual anomaly is computationally expensive.

The anomaly detection evaluation uses the notion of data reduction by only evaluating the computationally more expensive contextual anomaly detector on a very small subset of the data.

The work proposed in this paper describes a framework consisting of two distinct components: the content anomaly detector and the contextual anomaly detector.

Contextual anomalies exist where the dataset includes a combination of behavioural and contextual attributes.

Additionally, when removing the Day and TimeOfDay(TOD) attributes, no contextual anomalies were found.

Additionally, when removing the Day and TimeOfDay attributes, no contextual anomalies were found.

Figure 5 Context Detection for Datasets 1 and 2. Comparison between the two datasets for content and contextual anomalies identified.

One of the problems is the detection of contextual anomalies, i.e. data instances appearing in contexts contrary to expectation.