Explain supervised data mining

What will be an ideal response?

With supervised data mining, data miners develop a model prior to the analysis and
apply statistical techniques to data to estimate parameters of the model. For example, suppose
marketing experts in a communications company believe that cell phone usage on weekends is
determined by the age of the customer and the number of months the customer has had the cell
phone account. A data mining analyst would then run an analysis that estimates the impact of
customer and account age. One such analysis, which measures the impact of a set of variables on
another variable, is called a regression analysis.