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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Main Author: ., Mukhtar
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf
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spelling 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)
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA1-939 Mathematics
spellingShingle QA1-939 Mathematics
., Mukhtar
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
description 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
author_sort ., 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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