Empirical Comparison of Techniques for Handling Missing Values

The performance of all technologies is highly depended on the quality of the data. For example, Neural Network (NN) technique can be applied very well if the data have been well prepared and free from noise and missing value. This study empirically compares several handling missing value methods fo...

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Main Author: Tikla, Salleh Mansour Mohamed
Format: Thesis
Language:en
en
Published: 2006
Subjects:
Online Access:https://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf
https://etd.uum.edu.my/1855/2/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf
https://etd.uum.edu.my/1855/
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author Tikla, Salleh Mansour Mohamed
author_facet Tikla, Salleh Mansour Mohamed
author_sort Tikla, Salleh Mansour Mohamed
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description The performance of all technologies is highly depended on the quality of the data. For example, Neural Network (NN) technique can be applied very well if the data have been well prepared and free from noise and missing value. This study empirically compares several handling missing value methods for NN based on literature. Six of those methods have been identified and compared using adult data set (retrieved from UCI database). The methods include mean average, replace with one, replace with zero, replace with maximum, and replace with minimum and regression. The result shows that replace with maximum value method yield better accuracy compare to the other methods.
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spelling my.uum.etd-18552013-07-24T12:13:26Z https://etd.uum.edu.my/1855/ Empirical Comparison of Techniques for Handling Missing Values Tikla, Salleh Mansour Mohamed QA76 Computer software The performance of all technologies is highly depended on the quality of the data. For example, Neural Network (NN) technique can be applied very well if the data have been well prepared and free from noise and missing value. This study empirically compares several handling missing value methods for NN based on literature. Six of those methods have been identified and compared using adult data set (retrieved from UCI database). The methods include mean average, replace with one, replace with zero, replace with maximum, and replace with minimum and regression. The result shows that replace with maximum value method yield better accuracy compare to the other methods. 2006 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf application/pdf en https://etd.uum.edu.my/1855/2/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf Tikla, Salleh Mansour Mohamed (2006) Empirical Comparison of Techniques for Handling Missing Values. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Tikla, Salleh Mansour Mohamed
Empirical Comparison of Techniques for Handling Missing Values
title Empirical Comparison of Techniques for Handling Missing Values
title_full Empirical Comparison of Techniques for Handling Missing Values
title_fullStr Empirical Comparison of Techniques for Handling Missing Values
title_full_unstemmed Empirical Comparison of Techniques for Handling Missing Values
title_short Empirical Comparison of Techniques for Handling Missing Values
title_sort empirical comparison of techniques for handling missing values
topic QA76 Computer software
url https://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf
https://etd.uum.edu.my/1855/2/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf
https://etd.uum.edu.my/1855/
url_provider http://etd.uum.edu.my/