Data Analysis
Outlier Detection
The identification of data points that deviate significantly from the majority of data.
Expanded definition
Outlier detection is a technique used to identify data points that are significantly different from the rest of the dataset. These anomalies may indicate special events, noise, or errors in data collection. Common methods for outlier detection include statistical tests, proximity-based approaches, and machine learning techniques.
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