BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration-Reference-Cited by-同舟云学术

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BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration

Published:2024-08 Issue:8 Volume:32 Page:4234-4247
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Ju Hengrong¹^ORCID,Shan Tingting¹^ORCID,Ding Weiping¹^ORCID,Liu Keyu²^ORCID,Khan Muhammad Jabir¹^ORCID,Huang Jiashuang¹^ORCID,Yang Xibei³^ORCID

Affiliation:

1. School of Information Science and Technology, Nantong University, Nantong, China

2. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China

3. School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province

Nature Science Research of Higher Education of Jiangsu Province

MOE | Humanities and Social Science Fund of Ministry of Education of China

Natural Science Key Foundation of Jiangsu Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10623556/10506638.pdf?arnumber=10506638

Reference42 articles.

1. Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

2. Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction

3. A novel approach to attribute reduction based on weighted neighborhood rough sets

4. Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization

5. MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark

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1. Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy;Applied Intelligence;2024-06-13

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