| 连续属性朴素贝叶斯分类器的依赖扩展研究 |
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| 引用本文： | 王辉,韩旭,王双成,王淑琴,赵洪帅,王莉.连续属性朴素贝叶斯分类器的依赖扩展研究[J].东北师大学报(自然科学版),2012,44(2):41-45. |
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| 作者姓名： | 王辉 韩旭 王双成 王淑琴 赵洪帅 王莉 |
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| 作者单位： | 1. 中央民族大学信息工程学院,北京,100081
2. 上海立信会计学院数学与信息学院,上海,201620 |
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| 基金项目： | 国家自然科学基金资助项目，教育部人文社会科学研究规划基金资助项目，上海市教委重点学科建设项目，中央民族大学自由探索项目 |
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| 摘 要： | 针对朴素贝叶斯分类器不能有效利用属性之间依赖信息的问题,在将连续属性条件互信息计算、条件密度计算与通过建立类约束属性最大权重跨度树的父结点选择相结合的基础上,提出了连续属性朴素贝叶斯分类器选择性树结构依赖扩展方法.通过对比实验和分析,证实了扩展后分类器的分类准确率得到明显的改进.
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| 关 键 词： | 连续属性 朴素贝叶斯分类器 互信息 最大权重跨度树 依赖扩展 |
The dependency extension of naive Bayes classifiers with continuous attributes |
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| WANG Hui
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HAN Xu
,
WANG Shuang-cheng
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WANG Shu-qin
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ZHAO Hong-shui
,
WANG Li.The dependency extension of naive Bayes classifiers with continuous attributes[J].Journal of Northeast Normal University (Natural Science Edition),2012,44(2):41-45. |
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| Authors: | WANG Hui HAN Xu WANG Shuang-cheng WANG Shu-qin ZHAO Hong-shui WANG Li |
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| Institution: | 1(1.School of Information Engineering,The Central University for Nationalities,Beijing 100081,China; 2.School of Mathematics and Information,Shanghai Lixin University of Commerce,Shanghai 201620,China) |
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| Abstract: | On account of naive Bayesian classifiers can’t make good use of the dependence information between attribute variables.We extend naive Bayesian classifiers with continuous attributes using tree-like graphical models.The method based on computation of mutual information of the continuous attributes and conditional density,combining the construction of parent node selection of the class-constrained attribute maximum weighted spanning tree.Comparative experiments and analysis are done.Experimental results show that classification accuracy of the extended naive Bayesian classifier with continuous attributes has improved obviously. |
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| Keywords: | continuous attribute naive Bayesian classifier mutual information maximal weighted spanning tree dependent extension |
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