| 几种不同缺失值填充方法的比较 |
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| 引用本文： | 刘星毅,农国才.几种不同缺失值填充方法的比较[J].南宁师范高等专科学校学报,2007,24(3):148-150. |
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| 作者姓名： | 刘星毅 农国才 |
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| 作者单位： | 钦州学院电大部 广西钦州535000 |
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| 摘 要： | 在数据挖掘和机器学习领域,缺失数据经常出现,本文从理论和实验两方面分析了常用的几种处理缺失数据的方法的优、缺点。
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| 关 键 词： | 数据挖掘 缺失数据 机器学习 |
| 文章编号： | 1008-696X（2007）03-0148-03 |
| 修稿时间： | 2007-05-19 |
Comparing Several Popular Missing Data Imputation Methods |
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| Liu Xingyi,Nong Guocai.Comparing Several Popular Missing Data Imputation Methods[J].Journal of Nanning Junior Teachers College,2007,24(3):148-150. |
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| Authors: | Liu Xingyi Nong Guocai |
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| Institution: | Radio and TV Department, Qinzhou College, Qinzhou, Guangxi 535000 |
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| Abstract: | Missing data and inconsistent data has been a pervasive problem in data mining and machine learning.In this paper,we compare the performance of several popular imputation methods for imputing missing data in machine learning and statistics about prediction accuracy and classification accuracy in our experiments. |
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| Keywords: | data mining missing data machine learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
