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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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.usm.my/60294/ http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf |
| _version_ | 1848884406406610944 |
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| author | ., Mukhtar |
| author_facet | ., Mukhtar |
| author_sort | ., Mukhtar |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T19:06:12Z |
| format | Thesis |
| id | usm-60294 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:06:12Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-602942024-03-27T01:17:26Z 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. |
| 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 |
| title | 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_short | 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 |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/60294/ http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf |