Information Theory
Anomaly detection refers to the process of identifying unusual patterns or behaviors in data that do not conform to expected norms. This technique is crucial for spotting outliers that may indicate fraud, errors, or other significant events. In information theory, understanding how anomalies relate to the distribution of data can enhance model performance and data analysis.
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