A Study of Restricted Bayesian Classification Model Based on Multi-dimentional Attributes
Jun Wang · Journal of Xi'an University of Arts and Science · 2012
This paper studies SANBC(A Restricted Bayesian Classification Model Based on Strong Attributes) and MANBC(A Restricted Bayesian Classification Model Based on Multidimensional Attributes) through the analysis of a variant of Bayes theorem,the evaluation of condition attribute with correlation,following the extension of structure of Naive Bayesian classification Model,and the attribute independence assumption that Naive Bayesian classification Model can be weakened through the adding of highlighting lines among attributes.The experimental results show that,compared with Bayesian Classification Model,both the classification models have higher accuracy.