Collibra Data Quality & Observability demo: outlier detection
Outlier detection, also called anomaly detection, is the process of identifying unusual patterns, rare events, atypical behaviors, or outliers of a data set.
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Outlier detection, also called anomaly detection, is the process of identifying unusual patterns, rare events, atypical behaviors, or outliers of a data set.