A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification
The paper aims to improve the multi-label classification performance using the feature reduction technique. According to the determination of the dependency among features based on fuzzy rough relation, features with the highest dependency score will be retained in the reduction set. The set is subs...
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2020
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oai:112.137.131.14:VNU_123-890972020-06-23T03:35:08Z A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification Pham, Thanh Huyen Ho, Thuan Fuzzy rough relation Label-specific feature Feature reduction set The paper aims to improve the multi-label classification performance using the feature reduction technique. According to the determination of the dependency among features based on fuzzy rough relation, features with the highest dependency score will be retained in the reduction set. The set is subsequently applied to enhance the performance of the multi-label classifier. We investigate the effectiveness of the proposed model againts the baseline via time complexity. 2020-06-23T03:35:08Z 2020-06-23T03:35:08Z 2020 Article Pham, T. H., & Ho, T. (2020). A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification. VNU Journal of Science: Comp. Science & Com. Eng, Vol. 36, No. 1 (2020) 17-24. 2588-1086 http://repository.vnu.edu.vn/handle/VNU_123/89097 https://doi.org/10.25073/2588-1086/vnucsce.238 en Computer Science and Communication Engineering; application/pdf H. : ĐHQGHN |
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Vietnam National University, Hanoi |
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VNU Library & Information Center |
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Vietnam |
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| language |
English |
| topic |
Fuzzy rough relation Label-specific feature Feature reduction set |
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Fuzzy rough relation Label-specific feature Feature reduction set Pham, Thanh Huyen Ho, Thuan A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| description |
The paper aims to improve the multi-label classification performance using the feature reduction technique. According to the determination of the dependency among features based on fuzzy rough relation, features with the highest dependency score will be retained in the reduction set. The set is subsequently applied to enhance the performance of the multi-label classifier. We investigate the effectiveness of the proposed model againts the baseline via time complexity. |
| format |
Article |
| author |
Pham, Thanh Huyen Ho, Thuan |
| author_facet |
Pham, Thanh Huyen Ho, Thuan |
| author_sort |
Pham, Thanh Huyen |
| title |
A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| title_short |
A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| title_full |
A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| title_fullStr |
A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| title_full_unstemmed |
A new Feature Reduction Algorithm Based on Fuzzy Rough Relation for the Multi-label Classification |
| title_sort |
new feature reduction algorithm based on fuzzy rough relation for the multi-label classification |
| publisher |
H. : ĐHQGHN |
| publishDate |
2020 |
| url |
http://repository.vnu.edu.vn/handle/VNU_123/89097 https://doi.org/10.25073/2588-1086/vnucsce.238 |
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1680967458090909696 |