Answer:
Fraud Detection
Intrusion Detection
Medicine
Ecosystem Disturbances
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
