Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem
This thesis is about proposing multi-label classification (MLC) techniques for classification applications. In MLC, the task is to develop models that could predict multiple class labels
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2022
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| Online Access: | http://eprints.uthm.edu.my/8378/1/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf http://eprints.uthm.edu.my/8378/2/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8378/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf |
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my-uthm-ep.83782023-02-23T06:29:05Z Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem 2022-09 Oyekunle, Adeleke Abdullahi TS155-194 Production management. Operations management This thesis is about proposing multi-label classification (MLC) techniques for classification applications. In MLC, the task is to develop models that could predict multiple class labels 2022-09 Thesis http://eprints.uthm.edu.my/8378/ http://eprints.uthm.edu.my/8378/1/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf text en public http://eprints.uthm.edu.my/8378/2/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8378/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Sistem Maklumat |
| institution |
Universiti Tun Hussein Onn Malaysia |
| collection |
UTHM Institutional Repository |
| language |
English English English |
| topic |
TS155-194 Production management Operations management |
| spellingShingle |
TS155-194 Production management Operations management Oyekunle, Adeleke Abdullahi Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| description |
This thesis is about proposing multi-label classification (MLC) techniques for classification applications. In MLC, the task is to develop models that could predict multiple class labels |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Oyekunle, Adeleke Abdullahi |
| author_facet |
Oyekunle, Adeleke Abdullahi |
| author_sort |
Oyekunle, Adeleke Abdullahi |
| title |
Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| title_short |
Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| title_full |
Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| title_fullStr |
Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| title_full_unstemmed |
Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| title_sort |
improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem |
| granting_institution |
Universiti Tun Hussein Onn Malaysia |
| granting_department |
Fakulti Sains Komputer dan Sistem Maklumat |
| publishDate |
2022 |
| url |
http://eprints.uthm.edu.my/8378/1/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf http://eprints.uthm.edu.my/8378/2/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8378/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf |
| _version_ |
1776103331672883200 |