Test-cost-sensitive attribute reduction based on neighborhood rough set-Reference-Cited by-同舟云学术

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Test-cost-sensitive attribute reduction based on neighborhood rough set

Published:2011-11 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE International Conference on Granular Computing
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Author:

Zhao Hong,Min Fan,Zhu William

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6112290/6122548/06122701.pdf?arnumber=6122701

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Granule-specific feature selection for continuous data classification using neighborhood rough sets;Expert Systems with Applications;2024-03

2. Approaches for coarsest granularity based near-optimal reduct computation;Applied Intelligence;2022-06-06

3. Pseudo-label neighborhood rough set: Measures and attribute reductions;International Journal of Approximate Reasoning;2019-02

4. Cost-sensitive SVDD models based on a sample selection approach;Applied Intelligence;2018-06-06

5. Stable attribute reduction for neighborhood rough set;Filomat;2018

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