Data preparation for data mining

Abstract

1. Data exploration as a process -- 2. The nature of the world and its impact on data preparation -- 3. Data preparation as a process -- 4. Getting the data: basic preparation -- 5. Sampling, variability and confidence -- 6. Handling non-numerical variables -- 7. Normalizing and redistributing variables -- 8. Replacing missing and empty values -- 9. Series variables -- 10. Preparing the data set -- 11. The data survey -- 12. Using prepared data -- Appendix A. Using the demonstration code on the Cd -- Appendix B . Further reading index.