A weighted-sum chaotic sparrow search algorithm for interdisciplinary feature selection and data classification

In today’s data-driven digital culture, there is a critical demand for optimized solutions that essentially reduce operating expenses while attempting to increase productivity. The amount of memory and processing time that can be used to process enormous volumes of data are subject to a number of li...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 14061 - 28
Main Authors:	Jia, LiYun, Wang, Tao, Gad, Ahmed G., Salem, Ahmed
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 28.08.2023 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1386 631/114/2397 639/705/1042 639/705/117 639/705/258 Algorithms Classification Convergence Datasets Feature selection Humanities and Social Sciences Interdisciplinary aspects Machine learning multidisciplinary Problem solving Random variables Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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