Group Anomaly Detection

Group Anomaly Detection is a technique for identifying abnormal subsets within a dataset, aimed at detecting groups that significantly deviate from the normal group behavior. This method analyzes the characteristics and patterns of groups to uncover potential anomalies or events, playing a crucial role in areas such as cybersecurity, financial fraud detection, and medical diagnosis, thereby enhancing the security and reliability of systems.