Missing value imputation using decision trees and decision forests by splitting and merging records: Two novel techniques
作者：
Highlights：
• Two novel missing value imputation techniques.
• Justification of the basic concepts of the techniques through some empirical analyses.
• Experimentation on nine data sets, four evaluation criteria.
• Comparison with two existing techniques.
• A complexity analysis of all techniques.
摘要
•Two novel missing value imputation techniques.•Justification of the basic concepts of the techniques through some empirical analyses.•Experimentation on nine data sets, four evaluation criteria.•Comparison with two existing techniques.•A complexity analysis of all techniques.
论文关键词：Data pre-processing,Data cleansing,Missing value imputation,Decision tree algorithm,Decision forest algorithm,EM algorithm
论文评审过程：Received 11 April 2013, Revised 6 August 2013, Accepted 7 August 2013, Available online 4 September 2013.
论文官网地址：https://doi.org/10.1016/j.knosys.2013.08.023
