Taxonomy of Missing Data along with their handling Methods

被引：0

作者：

Tripathi, Ashok Kumar ^{[1
]}

Rathee, Geetanjali ^{[1
]}

Saini, Hemraj ^{[1
]}

机构：

[1] Jaypee Univ Informat Technol, Dept Comp Sci & Engn, Waknaghat 173234, Solan, India

来源：

2019 FIFTH INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP 2019) | 2019年

关键词：

data mining; missing value; structurally missing data; missing at random; missing completely at random; missing not at random; VALUES;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Since from a long time, data mining remains an interested and important domain of research and in this continuation a number of hazards came into the development of this field. One of these hazards is the missing value existed in the datasets. To deal with this a number of methods evolved and deployed. In this paper, we discussed the taxonomy of missing data along with their handling methods. In addition, a sample implementation of the best method in the category is also depicted with the results for the purpose of its explanation.

引用

页码：463 / 468

页数：6

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