Yu Xue1,*, Asma Aouari1, Romany F. Mansour2, Shoubao Su3
Journal of Cyber Security, Vol.3, No.2, pp. 117-124, 2021, DOI:10.32604/jcs.2021.017018
- 02 August 2021
Abstract One of the main problems of machine learning and data
mining is to develop a basic model with a few features, to reduce the
algorithms involved in classification’s computational complexity. In
this paper, the collection of features has an essential importance in the
classification process to be able minimize computational time, which
decreases data size and increases the precision and effectiveness of
specific machine learning activities. Due to its superiority to
conventional optimization methods, several metaheuristics have been
used to resolve FS issues. This is why hybrid metaheuristics help
increase the search and convergence rate More >
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