Abstract: In this paper，a Bayesian classification algorithm based on the theory of Copula is presented，it overcomes the lack of attribute independence assumption which the general Naive Bayesian classifiers request，and further expands the Naive Bayesian classifiers.The results show that classification results have been markedly improved by using the Bayesian classification algorithm based on Copula.

Key words: Naive Bayesian classifier, independence assumption, Copula function

摘要： 利用Copula的理论提出了基于Copula贝叶斯分类算法，克服了一般的朴素贝叶斯分类器要求属性独立性假设的不足，进一步扩展了朴素贝叶斯分类器，实验结果表明，基于Copula贝叶斯算法取得了较好的分类效果。

关键词: 朴素贝叶斯分类器, 独立性假设, Copula函数