can anybody give me a brief idea about data mining??
Instead of traditional hypothesis testing, data minining is exploratory data analysis where you identify interesting patterns of relationships in your data and attempt to apply a post-hoc explanation to them.
Due to the increased risk of capitalizing on chance / Type I errors, a greater emphasis is often placed on assessing the robustness of the findings involving multiple methods, use of a holdout sample, and bootstrapping, among other techniques.
Brief enough? 😉
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