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Data Mining - Methods, Applications and Systems [Working Title]
Among the learning algorithms, one of the most popular and easiest to understand is the decision tree induction. The popularity of this method is related to three nice characteristics: interpretability, efficiency, and flexibility. Decision tree can be used for both classification and regression kind of problem. Automatic learning of a decision tree is characterised by the fact that it uses logic and mathematics to generate rules instead of selecting them based on intuition and subjectivity. Indoi:10.5772/intechopen.92438 fatcat:pb5gmmp54zf27kkedhiwxkfvui