Decision tree classification algorithm based on Bayesian method
基于贝叶斯方法的决策树分类算法

According to the characteristic and essence of data mining and taking advantage of Bayesian method, a new classification method named BD1.0 algorithm was presented. This method combined the prior information and information gain method of decision tree, The design and analysis of the algorithm was introduced too, The experiment results show that the algorithm can deal with dirty data such as incomplete data or inconsistent data, and it is more accurate than only useing Bayesian method or decision tree, It has approximate time complexity with C4.5 algorithm,