There are many techniques to induce a supervised segmentation from a dataset. One of the most popular is to create a tree-structured model (tree induction). These techniques are popular because tree models are easy to understand, and because the induction procedures are elegant (simple to describe) and easy to use. They are robust to many common data problems and are relatively efficient. Most data mining packages include some type of tree induction technique.

