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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:
QA1-939 Mathematics
Online Access:http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf
http://eprints.usm.my/60294/
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spelling my.usm.eprints.60294 http://eprints.usm.my/60294/ Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture ., 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 NonPeerReviewed application/pdf en http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf ., Mukhtar (2023) Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2023
url http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf
http://eprints.usm.my/60294/
_version_ 1795011135604260864
score 13.18916

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