中文摘要：

提出加权壳近邻填充（WSNI）缺失数据数学模型，充分利用壳近邻填充选取近邻数据的特性，侧重于被重复选择的近邻点，有效提高了填充效果．实验结果表明，提出的加权壳近邻填充数学模型比k近邻填充和壳近邻填充的效果好．

英文摘要：

Weighted shell neighbor imputation （WSNI） is designed to improve the missing data imputation efficiency by utilizing the features of nearest selection and focusing on the multiple-selection of the nearest neighbors. Experimental results show that the proposed algorithms have better performances than k-nearest neighbor imputation and shell-neighbor imputation method.