Attribute reduction for incomplete mixed data based on neighborhood information system-Reference-Cited by-同舟云学术

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Attribute reduction for incomplete mixed data based on neighborhood information system

Published:2023-09-12 Issue: Volume: Page:1-27
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Li Ran¹^ORCID,Chen Hongchang¹²^ORCID,Liu Shuxin¹²^ORCID,Jiang Haocong¹²,Wang Biao¹^ORCID

Affiliation:

1. Institute of Information Technology, PLA Strategic Support Force Information Engineering University, Zhengzhou, People's Republic of China

2. National Digital Switching System Engineering and Technological R&D Center, Zhengzhou, People's Republic of China

Funder

Major Science and Technology Program of Henan Province

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2023.2256464

Reference27 articles.

1. Neighborhood outlier detection

2. An entropy-based uncertainty measurement approach in neighborhood systems

3. Semi-supervised attribute reduction for interval data based on misclassification cost

4. Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels

5. Some issues about outlier detection in rough set theory

Cited by 2 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. Outlier detection based on multisource information fusion in incomplete mixed data;Applied Soft Computing;2024-11

2. Feature selection algorithm using neighborhood equivalence tolerance relation for incomplete decision systems;Applied Soft Computing;2024-05

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