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Data Mining – that intersection of statistics, computer science, and machine learning – is increasingly recognized as a discipline in its own right. Still, its statistical linear is undeniable. Pave l Cichosz’s new book helps to keep data mining and statistics close, in part, by describing some of the important pieces of data mining using code in R, a tool with which many statisticians will be very familiar. The book, he says, is not intended for statisticians as such but “for a mixed audience consisting of students of computer science and related fields, researchers. . .in any area where data analysis capabilities are used and analysts. . .working with data and creating or using predictive models.”
Samuel E. Buttrey (Thu,) studied this question.