中文摘要：

文本分类是数据挖掘领域中重要的研究分支.通过对自适应遗传算法和朴素贝叶斯分类器的研究,提出一种基于自适应遗传算法的朴素贝叶斯分类算法.将该算法应用于中文文本分类中,可以生成最优贝叶斯分类器及最优属性集合,提高分类精度.

英文摘要：

Text categorization is an important research branch in the data mining domain. An improved naive bayesian classifier based on the genetic algorithms was proposed. It can make an effective naive bayesian classifier with excellent attributes sets in the field of text categorization.