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Learning Data Mining with R

This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.

Prediction of results from text is just as ambitious as predicting numerical data
mining and has similar problems associated with numerical classification. It is
generally a classification issue. Prediction from text needs prior experience, from
the ...