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A Genetic Algorithm Approach for Non-Ignorable Missing Data

by R.Devi Priya, S.Kuppuswami, S.Makesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 4
Year of Publication: 2011
Authors: R.Devi Priya, S.Kuppuswami, S.Makesh Kumar
10.5120/2419-3237

R.Devi Priya, S.Kuppuswami, S.Makesh Kumar . A Genetic Algorithm Approach for Non-Ignorable Missing Data. International Journal of Computer Applications. 20, 4 ( April 2011), 37-41. DOI=10.5120/2419-3237

@article{ 10.5120/2419-3237,
author = { R.Devi Priya, S.Kuppuswami, S.Makesh Kumar },
title = { A Genetic Algorithm Approach for Non-Ignorable Missing Data },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 4 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number4/2419-3237/ },
doi = { 10.5120/2419-3237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:56.023291+05:30
%A R.Devi Priya
%A S.Kuppuswami
%A S.Makesh Kumar
%T A Genetic Algorithm Approach for Non-Ignorable Missing Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 4
%P 37-41
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The databases store data that may be subjected to missing values either in data acquisition or data storage process. The proposed approach uses the widely used optimization technique called genetic algorithm for the NMAR (Not Missing At Random) missing mechanism which prevails more in real life that are non-ignorable. Since the non-ignorable mechanism needs prior basic knowledge about the data that is supposed to be missing and have to make assumptions, Genetic algorithm (GA) suits well for this problem which derives solution based on the previously observed data. The empirical results show that Genetic Algorithm has better efficiency when compared with some of the traditional methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data acquisition Missing data NMAR Non-response Genetic algorithm Optimization

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