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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2006
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Online Access: | http://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf http://etd.uum.edu.my/1855/2/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf http://etd.uum.edu.my/1855/ |
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my.uum.etd.18552013-07-24T12:13:26Z http://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 http://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf application/pdf en http://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. |
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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. |
format |
Thesis |
author |
Tikla, Salleh Mansour Mohamed |
author_facet |
Tikla, Salleh Mansour Mohamed |
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Tikla, Salleh Mansour Mohamed |
title |
Empirical Comparison of Techniques for Handling Missing Values |
title_short |
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_sort |
empirical comparison of techniques for handling missing values |
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2006 |
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http://etd.uum.edu.my/1855/1/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf http://etd.uum.edu.my/1855/2/Salleh_Mansour_Mohamed_Tikla_-_Empirical_comparisons_of_techniques_for_handling_missing_values.pdf http://etd.uum.edu.my/1855/ |
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13.160551 |