| 基于EM-NB算法的网络调查缺失数据处理方法 |
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| 引用本文： | 景亚萍,邵培基,李成刚.基于EM-NB算法的网络调查缺失数据处理方法[J].技术经济,2014(6):72-76. |
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| 作者姓名： | 景亚萍 邵培基 李成刚 |
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| 作者单位： | [1]电子科技大学经济与管理学院,成都610054 [2]贵州财经大学金融学院,贵阳550004 |
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| 基金项目： | 教育部人文社会科学研究规划基金项目“主权信用评级下调冲击全球经济的原因、内在机理的挖掘及对策”（12YJA790125）;贵州省科学技术基金计划博士基金项目“西部地区城市商业银行电子银行业务发展策略研究”（黔科合J字[2013]2086号） |
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| 摘 要： | 将最大期望值算法(EM)与朴素贝叶斯算法(NB)相结合,提出EM-NB算法来填补网络调查中的缺失数据。对比基于处理后的完备数据集的分类统计结果与基于纸质调查得到的分析结果,结果显示,利用EM-NB算法处理缺失数据后的网络调查问卷与纸质调查问卷可得到一致的调查结果。这表明EM-NB算法是一种有效的处理网络调查中缺失数据的方法。
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| 关 键 词： | 网络调查 缺失数据 最大期望值算法 朴素贝叶斯算法 |
Method Processing Missing Data in Network Survey Based on EM-NB algorithm |
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| Jing Yaping,Shao Peiji,Li Chenggang.Method Processing Missing Data in Network Survey Based on EM-NB algorithm[J].Technology Economics,2014(6):72-76. |
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| Authors: | Jing Yaping Shao Peiji Li Chenggang |
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| Institution: | 1. School of Economics and Management, University of Electronic Science and Technology of China, Chengdu 610054, China; 2. Faculty of Finance,Guizhou University of Finance and Economics,Guiyang 550004, China) |
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| Abstract: | Combining the expectation maximization（EM） algorithm with the Naive Bayes（NB） algorithm,this paper proposes the EM-NB algorithm which is used to process the missing data in network investigation. Then it compares the sub-category statistical analysis result based on the treated complete data set with the analysis results based on the paper-based survey by using an example. It finds that the analysis results based on these two groups of survey data are coincident, which shows that the EM-NB algorithm is an effective method processing the missing data in network survey. |
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| Keywords: | network survey missing data expectation maximization algorithm naive Bayesian algorithm |
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