Cold deck missing value imputation with a trust-based selection method of multiple web donors
Missing value is a common problem in any dataset and its occurrence decreases data completeness as data values are missing. Moreover, the problem reduces data quality and negatively impacted the result of data analysis. Existing cold deck imputation coped with this problem by selecting a replacem...
Main Author: | Mohd Jaya, Mohd Izham |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/83236/1/FSKTM%202018%2079%20-ir.pdf |
Similar Items
-
Genotype imputation methods for next generation datasets
by: Rubinacci, S
Published: (2020) -
Enhanced k-nearest neighbours classification performance based on segmentation and imputation of missing data /
by: Soobia Saeed, 1987-, author 646166
Published: (2022) -
Enhanced k-nearest neighbours classification performance based on segmentation and imputation of missing data /
by: Soobia Saeed, 1987-, author 646166, et al.
Published: (2022) -
Statistical analysis with missing data /
by: Little, Roderick J. A. 246975, et al.
Published: (2002) -
Statistical analysis with missing data /
by: Little, Roderick J. A. 246975, et al.
Published: (c198)