重庆理工大学学报：自然科学2012，Vol.26Issue(7)：81-83,3.
基于分类概率加权的朴素贝叶斯分类方法
Naive Bayesian Classifier Method Based on the Classification of the Probability-Weighted
摘要
Abstract
This paper presents a probability-based weighted naive Bayes classification algorithm. Doing naive Bayesian classifier for each attribute, then it can get the probability of correct classificationof the attribute. The result as the corresponding weights were added to the condition attributes, and it get the weighted naive Bayes classifier. Weka data sets and UCI data sets are tested to get better results.关键词
加权朴素贝叶斯/分类概率/条件属性Key words
weighted nave Bayes/classification probability分类
计算机与自动化引用本文复制引用
张步良..基于分类概率加权的朴素贝叶斯分类方法[J].重庆理工大学学报：自然科学,2012,26(7):81-83,3.基金项目
重庆市科技攻关项目 （）
