anomáliafelismerés
Anomáliafelismerés, also known as anomaly detection or outlier detection, is a process of identifying patterns in data that do not conform to expected behavior. These unusual patterns are often referred to as anomalies, outliers, novelties, noise, deviations, or exceptions. The goal of anomaly detection is to find data points that are significantly different from the majority of the data.
This technique finds applications across various domains. In cybersecurity, it is used to detect malicious activities
There are several approaches to anomaly detection. Statistical methods assume that normal data follows a certain