In data mining where huge data sets are being explored to discover relationships among a large number of variables,the best-subsets approach is more practical than the stepwise regression approach.

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The best-subsets approach, while comprehensive, is computationally intensive and less practical for huge datasets with a large number of variables. Stepwise regression, by selectively adding or removing variables based on specific criteria, is more practical for exploring relationships in large datasets.

In Data Mining Where Huge Data Sets Are Being Explored