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Outlier Detection

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Outlier Detection - definition(s)

Outlier detection – an outlier is an object that deviates significantly from the general average within a dataset or a combination of data. It is numerically distant from the rest of the data and therefore, the outlier indicates that something is going on and generally therefore requires additional analysis.

[Category=Big Data ]

Source: BigData-Startup, 08 October 2013 08:12:34, External

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