chapter  5
Rule-Based Classification
ByXiao-Li Li, Bing Liu
Pages 36

Classification is an important problem in machine learning and data mining. It has been widely applied in many real-world applications. Traditionally, to build a classifier, a user first needs to collect a set of training examples/instances that are labeled with predefined classes. A classification algorithm is then applied to the training data to build a classifier that is subsequently employed to assign the predefined classes to test instances (for evaluation) or future instances (for application) [1].