Performance analysis of machine learning algorithms for missing value imputation

• المؤلفون الرئيسيون: Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Emran, Nurul Akmar
• التنسيق: مقال
• اللغة: English; English; English
• منشور في: Science and Information Organization 2018
• الموضوعات: T10.5 Communication of technical information
• الوصول للمادة أونلاين: http://irep.iium.edu.my/65381/1/65381_Performance%20analysis%20of%20machine%20learning.pdf; http://irep.iium.edu.my/65381/2/65381_Performance%20analysis%20of%20machine%20learning_SCOPUS.pdf; http://irep.iium.edu.my/65381/3/65381_Performance%20analysis%20of%20machine%20learning_WOS.pdf; http://irep.iium.edu.my/65381/; http://thesai.org/Downloads/Volume9No6/Paper_60-Performance_Analysis_of_Machine_Learning_Algorithms.pdf

Data mining requires a pre-processing task in which the data are prepared, cleaned, integrated, transformed, reduced and discretized for ensuring the quality. Missing values is a universal problem in many research domains that is commonly encountered in the data cleaning process. Missing values usua...