关键词: 数据挖掘, 分类算法, 朴素贝叶斯, 个人属性, 中国图书馆分类法

Abstract: Services and resources in autonomous networks were classified by the improved naive Bayesian classification algorithm with integrating Chinese library classification. Thereby, the classification accuracy could be improved effectively based on the users who had different interests. The experimental results show that this algorithm has better performance when compared with traditional naive Bayesian algorithm.

Key words: data mining, classification algorithm, naive Bayes, personal attribute, Chinese library classification