In this paper,a novel associative classification algorithm,named ACIG,is proposed to integrate the effect of information gain and FoilGain for selecting the literals of rules from Chinese text,in order to improve the qualities of literals.

• 现有的基于支持度-置信度架构的关联分类方法仅仅是选择频繁文字构建分类规则,忽略了文字的分类有效性。 本文提出一种新的ACIG算法,结合信息增益与FoilGain在中文文本中选择规则的文字,以提高文字的分类有效性。