【摘要】 为填补不完备数据集中的缺失数据,提出一种基于关联分析的填补方法.首先挖掘已有数据集的包含缺失属性值作为后件的关联规则,然后从得到的规则中选取满足条件的规则集;最后求得总体贡献度最大的后件作为缺失数据的填补.采用脑卒中数据集进行实验,其结果表明所提出的方法能够达到较好的填补效果.更多还原

【Abstract】 A method is presented based on association analysis. Firstly,the existing dataset containing missing attribute value is taken as the association rule. Secondly,the rule set is selected from the obtained rules. Finally,the total contribution degree is obtained as the missing data. The experimental results show that the proposed method has higher imputation accuracy.更多还原