Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (4): 132-133.DOI: 10.3778/j.issn.1002-8331.2010.04.042
• 数据库、信号与信息处理 • Previous Articles Next Articles
LI Fang,LIU Qiong-sun
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李 方,刘琼荪
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Abstract: To improve attribute weighted the naive Bayesian classifier model,a new measurement method of the inter-related weighted attributes is structured.The experiment proves that the naive Bayesian classifier model is superior to the classification model proposed by Zhang Shun-zhong et al.
摘要: 构造了一种新的属性间相关性度量方法,提出了改进属性加权的朴素贝叶斯分类模型。经实验证明,提出的朴素贝叶斯分类模型明显优于张舜仲等人提出的分类模型。
CLC Number:
TP301
LI Fang,LIU Qiong-sun. Naive Bayesian classifier model based on improved weighted attributes[J]. Computer Engineering and Applications, 2010, 46(4): 132-133.
李 方,刘琼荪. 基于改进属性加权的朴素贝叶斯分类模型[J]. 计算机工程与应用, 2010, 46(4): 132-133.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.04.042
http://cea.ceaj.org/EN/Y2010/V46/I4/132