Abstract
In this chapter, I explain what happened to make data become so much more available and where Big Data emerged from. I will show what can be searched for in these data and what tools are needed for mining the data. The differences and similarities between a classification and regression are described. Then, the focus is moved to decision trees and classical methods in their induction, but the presentation should not be treated as an extensive overview of this wide area of research. The most important information about decision trees is provided, and this subjective selection is intended to be helpful in understanding the proposed global approach. Finally, the related works on applying evolutionary computation in decision trees are studied.
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