关键词: 假设检验, 贝叶斯分类器, 分类, 机器学习

Abstract: Classification is a main branch in Data Mining field.Bayesian classifier as an important technology in this branch has been widely used.Restricted Bayesian learning is a hotspot in these years.In this paper，a kind of hypothesis testing，called volume test is used to find the dependency between attributes.Based on these，propose a method of Bayesian classifier based on hypothesis testing，we call it Bayesian classifier based on Volume Test（BVT）.It absorbs advantages of Naïve Bayes and idea of statistical hypothesis testing.Experiments show that this method outperforms Naïve Bayes，TAN，etc，especially when the dataset is large.

Key words: hypothesis testing, bayesian classifier, classification, machine learning