DocumentCode :
2317732
Title :
A comparison of approaches for dealing with missing values
Author :
Liu, Chih-Feng ; Chen, Thao-Tsen ; Lee, Shie-Jue
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
4
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1576
Lastpage :
1582
Abstract :
In this paper, we give a comparison of several approaches for solving the missing value problem, including deletion and single imputation techniques. Each method is briefly described, together with the advantage and disadvantage of the solution it provides. Simulation results are presented to compare the induced errors between predicted (imputed) valued and true values obtained by using different methods to fill in slots with missing values.
Keywords :
data mining; data mining; deletion imputation techniques; induced errors; missing value problem; predicted values; single imputation techniques; true values; Abstracts; Deletion; Missing values; Single imputation; Squared errors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359600
Filename :
6359600
Link To Document :
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