A tutorial on using the rminer R package for data mining tasks

Abstract

This tutorial explores the rminer package of the R statistical tool. Following a learn by example approach, several code recipes are presented and the obtained results analyzed. The goal is to demonstrate the package capabilities for executing classification and regression data mining tasks, including in particular three CRISP-DM stages: data preparation, modeling and evaluation. The particular case of time series forecasting is also addressed.