| 基于贝叶斯方法的知识发现 |
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| 引用本文： | 王玮,陈恩红,王煦法.基于贝叶斯方法的知识发现[J].中国科学技术大学学报,2000,30(4):467-472. |
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| 作者姓名： | 王玮 陈恩红 王煦法 |
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| 作者单位： | 中国科学技术大学计算机科学技术系,合肥,230027 |
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| 摘 要： | 贝叶斯方法是概率统计学中一种很重要的方法。贝叶斯网络就是根据各个变量之间概率关系用图论方法建立的模型，本将概率统计的贝叶斯规则应用于知识发现，建立图论模型进行数据挖掘，章最后应用贝叶斯网络对于实际的数据库进行知识发现，其结果说明了这种方法的有效性。
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| 关 键 词： | 贝叶斯网络 贝叶斯统计 知识发现 数据库 |
Knowledge Discovery Based on Bayesian Approach |
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| WANG Wei,CHEN En-hong,WANG Xu-fa.Knowledge Discovery Based on Bayesian Approach[J].Journal of University of Science and Technology of China,2000,30(4):467-472. |
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| Authors: | WANG Wei CHEN En-hong WANG Xu-fa |
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| Abstract: | The Bayersian approach is an important method in statistics. A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. The Bayesian approach is employed for data mining and a model is set up based on graph theory. Finally experimental results are given to demonstrate that the method is effective. |
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| Keywords: | Bayesian networks Bayersian statistics knowledge discovery modeling |
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