Here are brief descriptions of some of the most important data mining techniques used to generate insights from data. Decision Trees: They help classify populations into classes. Examples of classes are high-risk patients or low risk, of high-value customer or low-value customer. It is said that 70% of all data mining work is about classification solutions; and that 70% of all classification work uses decision trees.
