| 朴素贝叶斯分类在数据挖掘中的应用 |
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| 引用本文： | 谢斌.朴素贝叶斯分类在数据挖掘中的应用[J].甘肃联合大学学报(自然科学版),2007,21(4):79-82,91. |
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| 作者姓名： | 谢斌 |
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| 作者单位： | 西北师范大学,数学与信息科学学院,甘肃,兰州,730070 |
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| 摘 要： | 数据库信息分类中,朴素贝叶斯分类模型是一种简单有效的分类方法,它理论基础好,分类精度高.本文运用朴素贝叶斯分类的方法,对所给数据进行分类和预测,通过一个实例给出了该算法对于预测数据进行分类的详细过程.
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| 关 键 词： | 数据挖掘 分类方法 预测数据 朴素贝叶斯 |
| 文章编号： | 1672-691X（2007）04-0079-05 |
| 修稿时间： | 2007-04-23 |
The Application of Naive Bayesian Classification in Data Mining |
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| XIE Bin.The Application of Naive Bayesian Classification in Data Mining[J].Journal of Gansu Lianhe University :Natural Sciences,2007,21(4):79-82,91. |
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| Authors: | XIE Bin |
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| Institution: | School of Mathematics and Information Science,Northwest Normal University,Lanzhou 730070,China |
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| Abstract: | In database information classification,Naive Bayesian Classification Model is a simple but efficient solution, and it has solid theory foundation and high accuracy rate of classification. In this paper, Naive Bayesian method based on classifying and predicting and method are introduced. The author points out the difficulty and the algorithm. Finally, through an instance, the paper shows the procedure of classifying and in detail. |
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| Keywords: | data mining classification prediction data Naive Bayesian |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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