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creating certain segments of data on some basis.
picking up/separating the required data only for all available data.
Data segregation is classifying data according to some criteria
In the present scenario in any topic there is an information over load. 90% of the data might not be relevant. So Data segregation is the process in which all the information gathered in to clusters with some homogenous or similar properties so that it can be easily accessible to cater your needs at the same time makes it more effective.
