A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study

The rapid expansion of information science has caused the issue of “the curse of dimensionality”, which will negatively affect the performance of the machine learning model. Feature selection is typically considered as a pre-processing mechanism to find an optimal subset of features from a given set...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 212; p. 106553
Main Authors:	Too, Jingwei, Mirjalili, Seyedali
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 05.01.2021 Elsevier Science Ltd
Subjects:	Algorithm Algorithms Artificial Intelligence Binary Dragonfly Algorithm Binary Optimization Case studies Classification Combinatorial Optimization Coronaviruses COVID-19 Data mining Datasets Feature selection Information retrieval Information science Learning Learning strategies Machine learning Novels Optimization Particle Swarm Optimization Viral diseases Combinatorial Optimization Feature selection Binary Dragonfly Algorithm Artificial Intelligence Classification Data mining Algorithm Optimization Particle Swarm Optimization Binary Optimization
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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