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Filter and Embedded Feature Selection Methods to Meet Big Data Visualization Challenges

  • Published:2023 Issue:1 Volume:74 Page:817-839
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

A. ElDahshan Kamal,A. AlHabshy AbdAllah,Thamer Mohammed Luay

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference48 articles.

1. Challenges and opportunities with big data visualization;Agrawal,2015

2. The challenges of big data visual analytics and recent platforms;Abdelhafez;World of Computer Science & Information Technology Journal,2019

3. A survey on online feature selection with streaming features;Hu;Frontiers of Computer Science,2018

4. Using nonlinear dimensionality reduction techniques in big data analysis;Abd Alwahab;Periodicals of Engineering and Natural Sciences,2020

5. A survey on swarm intelligence approaches to feature selection in data mining;Nguyen;Swarm and Evolutionary Computation,2020

Cited by 3 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. Evolution of the random subset feature selection algorithm for classification problem;Knowledge-Based Systems;2024-02

2. A Heuristic Radiomics Feature Selection Method Based on Frequency Iteration and Multi-Supervised Training Mode;Computers, Materials & Continua;2024

3. An Analysis of the Effect of Feature Selection Methods on Classification;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03
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