Feature Selection of Parallel Binary Moth-flame Optimization Algorithm Based on Spark-Reference-Cited by-同舟云学术

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Feature Selection of Parallel Binary Moth-flame Optimization Algorithm Based on Spark

Published:2019-03 Issue: Volume: Page:
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Container-title:2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
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Author:

Chen Hongwei,Fu Heng,Cao Qianqian,Han Lin,Yan Lingyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8717364/8728967/08729350.pdf?arnumber=8729350

Cited by 8 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. Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges;Swarm and Evolutionary Computation;2024-10

2. Multi-objective Feature Selection Algorithm Based on Apache Spark and Particle Swarm Optimization;2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT);2023-04-28

3. A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark;Entropy;2023-01-31

4. An efficient privacy‐preserving model based on OMFTSA for query optimization in crowdsourcing;Concurrency and Computation: Practice and Experience;2021-07-12

5. Examination and comparison of binary metaheuristic wrapper-based input variable selection for local and global climate information-driven one-step monthly streamflow forecasting;Journal of Hydrology;2021-06

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