Anomaly detection is the process of identifying unusual patterns or observations in data that do not conform to an expected behavior. It is important because it can be used to detect abnormal or abnormal behavior in various fields, such as finance, healthcare, and cybersecurity. For example, in finance, anomaly detection can be used to detect fraudulent transactions, and in healthcare, it can be used to identify patients with unusual symptoms or health conditions. Additionally, anomaly detection can be used in a proactive manner to identify potential problems before they occur, thus allowing for preventative measures to be taken.
It is designed to be extremely simple to use, but fast and powerful at the same time.