Classification is a class of dispatch instances to one of predefined categories
Decision tree induction is to learn the decision tree from the source dataset with the (instance and class-label) pairs under the supervised learning mode
ID3 is a decision tree induction algorithm
C4.5 is an extension of ID3
CART is a decision tree induction
Bayes classification is a statistical classification algorithm
Naïve Bayes classification is a simplified version of Bayes classification in which there is a presumption of independence
Rule-based classification is a classification model applying the rule set, which can be collections by direct algorithm, the sequential covering algorithm, and the indirect method by decision tree transforming
In the next chapter, you'll cover the more-advanced classification algorithms, including Bayesian Belief Network, SVM, k-Nearest Neighbors algorithm, and so on.