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Anomaly Detection

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Anomaly detection - definition(s)

Anomaly detection - the search for data items in a dataset that do not match a projected pattern or expected behaviour. Anomalies are also called outliers, exceptions, surprises or contaminants and they often provide critical and actionable information.

[Category=Big Data ]

Source: BigData-Startup, 20 September 2013 09:01:52, External

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