Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis

In this paper, a talent training model based on big data analysis is designed for the background of the construction of the Hainan Free Trade Port. A learning behavior analysis method is designed using the K-Means clustering algorithm and particle swarm optimization algorithm, which can accurately m...

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Bibliographic Details
Published inApplied mathematics and nonlinear sciences Vol. 9; no. 1
Main Author Huang, Yanrui
Format Journal Article
LanguageEnglish
Published Beirut Sciendo 01.01.2024
De Gruyter Poland
Subjects
68T05
Hainan Free Trade Port
K-Means clustering
Learning behavior
Particle swarm optimization
Talent training model
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Summary:In this paper, a talent training model based on big data analysis is designed for the background of the construction of the Hainan Free Trade Port. A learning behavior analysis method is designed using the K-Means clustering algorithm and particle swarm optimization algorithm, which can accurately mine valuable information from a large amount of user learning behavior data and provide a reference for the exploration of the Russian talent training model. The accuracy rate in the experimental validation can reach 91.99%, which is outstanding and can provide important support for establishing a systematic talent training model in the context of the Hainan Free Trade Port.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2444-8656
2444-8656
DOI:10.2478/amns.2023.2.00693