Handling Missing Data: MICE (A data minig Application)
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Index Terms-multiple imputation
non-applicable
R
MICE
chained equations
categorical data
Abstract
The aim of this project is to give the complete datasets by imputing the missing data values by multiple imputation
techniques. On encountering the missing data values or non-applicable values the system automatically points out
the missing values for the particular information or the column and enumerate the mean value and replaces the
missed values with the same. This type of different imputations in different types of datasets can be carried out using
R package MICE (Multivariate Imputations by Chained Equations). Imputation of categorical data is improved in
order to bypass problems caused by perfect prediction.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Anushree G | Dayananda Sagar Academy of Technology and Management |
| 2 | Devaki Sai Mahitha | Dayananda Sagar Academy of Technology and Management |
| 3 | Akshaya R | Dayananda Sagar Academy of Technology and Management |
| 4 | Madhura | Dayananda Sagar Academy of Technology and Management |
| 5 | Shylaja B | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
G, Anushree, Mahitha, Devaki Sai, R, Akshaya, Madhura, & B, Shylaja (2021). Handling Missing Data: MICE (A data minig Application). International Journal of Advance Research and Innovative Ideas In Education, 7(2), 678-682.
MLA Style
G, Anushree, et al. "Handling Missing Data: MICE (A data minig Application)." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 678-682.
IEEE Style
Anushree G, Devaki Sai Mahitha, Akshaya R, Madhura, and Shylaja B, "Handling Missing Data: MICE (A data minig Application)," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 678-682, 2021.
Vancouver Style
G Anushree, Mahitha Devaki Sai, R Akshaya, Madhura, B Shylaja. Handling Missing Data: MICE (A data minig Application). International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):678-682.
Harvard Style
G, Anushree, Mahitha, Devaki Sai, R, Akshaya, Madhura, & B, Shylaja (2021) 'Handling Missing Data: MICE (A data minig Application)', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 678-682.
Chicago Style
G, Anushree, et al. "Handling Missing Data: MICE (A data minig Application)." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 678-682.
Turabian Style
G, Anushree, et al. "Handling Missing Data: MICE (A data minig Application)." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 678-682.
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