Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
In this research, 29 independent single variables and 435 independent interaction variables were identified. The limitation of this research were to address the problems such as irrelevant variables, multicollinearity and outliers.
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my-usm-ep.602942024-03-27T01:17:26Z Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture 2023-01 ., Mukhtar QA1-939 Mathematics In this research, 29 independent single variables and 435 independent interaction variables were identified. The limitation of this research were to address the problems such as irrelevant variables, multicollinearity and outliers. 2023-01 Thesis http://eprints.usm.my/60294/ http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik ( School of Mathematical Sciences) |
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Universiti Sains Malaysia |
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English |
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QA1-939 Mathematics |
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QA1-939 Mathematics ., Mukhtar Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
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In this research, 29 independent single variables and 435 independent interaction variables were identified. The limitation of this research were to address the problems such as irrelevant variables, multicollinearity and outliers. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
., Mukhtar |
author_facet |
., Mukhtar |
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., Mukhtar |
title |
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
title_short |
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
title_full |
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
title_fullStr |
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
title_full_unstemmed |
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture |
title_sort |
hybrid model in machine learning with robust regression for handling multicollinearity outlier in big data and its application to agriculture |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat Pengajian Sains Matematik ( School of Mathematical Sciences) |
publishDate |
2023 |
url |
http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf |
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1804888907466145792 |