Application of Bagging algorithm to Chinese text categorization

Bagging algorithm is a popular ensemble learning technology.A Chinese text categorization classifier is designed by us- ing an improved Bagging algorithm—Attribute Bagging(AB).Re-sampling attribute is used to get multiple training sets;the kNN is selected as weak learner.Experiments show that the Attribute Bagging gets lower errors and better performance than Bagging.