The first step in doing adataclassificationis to cluster the data set used for category training, to create the wanted number of categories.
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In essencedataclassificationconsists of using variables with known values to predict the unknown or future values of other variables.
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Dataclassificationis divided into content analysis, focused on structured data, and contextual analysis which looks at the place of origin or the application or system that generated the data.
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Another problem relates todataclassification.
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Within one month of release there were 1.5 million genetic data classifications.
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