文章基本信息

标题：Estimation of Missing Values Using Decision Tree Approach
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作者：Gimpy ; Dr. Rajan Vohra ; Minakshi 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5216-5220
出版社：TechScience Publications
摘要：Data mining has made a great progress in recent year but the problem of missing data or value has remained great challenge for data mining. Missing data or value in a datasets can affect the performance of classifier which leads to difficulty of extracting useful information from datasets Dataset taken for this study is student records of university system that contains some missing values. The missing value are present in tm_10and tm_12. To estimate missing values classification algorithm (C4.5/J48) is used and then accuracy is measured through confusion matrix. Weka data mining tool is used for this analysis.
关键词：Data mining; Missing value; C4.5; Weka.