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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Main Authors: Pham, Thanh Huyen, Ho, Thuan
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語言:English
出版: H. : ĐHQGHN 2020
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在線閱讀:http://repository.vnu.edu.vn/handle/VNU_123/89097
https://doi.org/10.25073/2588-1086/vnucsce.238
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spelling 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
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Fuzzy rough relation
Label-specific feature
Feature reduction set
spellingShingle 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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