Review on Missing Value Imputation Techniques in Data Mining

Arjun Puri and Manoj Gupta

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 7, 35-40

Abstract: Now days, there are huge amount of data available for analysis, the main problem with the data is inconsistency. The inconsistent data (missing value) need to replace with most appropriate fit values. Some missing values are dependent on some known variable in the dataset need to be taken for further calculation. There are different methods to impute these missing values. In this paper, we discuss various technique based on their classification and also discuss their behavior in different datasets under different types of missing values.

Keywords: Missing value imputation; data mining; data preprocessing; Techniques for missing value imputation; MCAR; MAR; NMAR. (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT174405
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