基于EM—BN算法的网络调查问卷分析研究

随着计算机技术、通信技术和互联网的高速发展，网络调查进入到了快速发展的阶段。针对所设计的调查系统题目开放易存在缺失数据值的问题，应用了最大期望的贝叶斯网络算法对缺失数据值进行填充，利用填充后的完备数据集进行分类别统计分析，分析结果表明网络调查与印刷调查可以得到一致的调查结果。

Analytical study of the network questionnaire based on EM- BN algorithm

With the rapid development of the computer technology, technology and Internet, on- line surveys have entered into the rapid development phase. This paper, aiming at the missing data values -prone ex- isting in the open questions of the questionnaire, applies Bayesian network algorithm of maximum expectation to fill the missing values, with which it conducts classified statistical analysis. The result of the study shows that the online survey and printed survey are consistent in findings.