Neural Networks and Fuzzy Systems
Anomaly detection is the process of identifying unusual patterns or outliers in data that do not conform to expected behavior. This technique plays a crucial role in various applications, such as fraud detection, network security, and fault detection, by helping to highlight data points that may indicate significant events or changes in the system. By utilizing unsupervised learning methods, anomaly detection can efficiently analyze large datasets without the need for labeled examples, allowing for the discovery of hidden anomalies.
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