Question

The following example illustrates applications for which anomalies are of considerable interest. Click all that apply: a. Fraud Detection b. Intrusion Detection c. Medicine d. Ecosystem Disturbances

Answer 1

Fraud Detection

Intrusion Detection

Medicine

Ecosystem Disturbances

Step-by-step explanation:

Anomalies are items or actions that do not conform to expected pattern. They are also referred to as outliers on data sets that do not exhibit the characteristics of the population under consideration.

Anomalies can be caused by natural variation, data errors, data from different classes.

Examples of anomalies are:

Fraud Detection

Intrusion Detection

Medicine such as influenza outbreaks

Ecosystem Disturbances such as flood and drought