Anomaly detection: Difference between revisions
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In machine learning terms, '''anomaly detection''' refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints. | In machine learning terms, '''anomaly detection''' refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints. | ||
== Use == | |||
Banks use AD to find fraudulent transactions. | |||
Revision as of 21:38, 9 February 2020
In machine learning terms, anomaly detection refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints.
Use
Banks use AD to find fraudulent transactions.