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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Main Author: Huang Yanrui
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00693
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author Huang Yanrui
author_facet Huang Yanrui
author_sort Huang Yanrui
collection DOAJ
description 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.
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spelling doaj.art-d6937a16f99b413dbdbd48515bb582ea2024-01-29T08:52:35ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00693Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysisHuang Yanrui01Sanya Aviation and Tourism College, Sanya, Hainan, 572000, China.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.https://doi.org/10.2478/amns.2023.2.00693talent training modelhainan free trade portk-means clusteringparticle swarm optimizationlearning behavior68t05
spellingShingle Huang Yanrui
Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
Applied Mathematics and Nonlinear Sciences
talent training model
hainan free trade port
k-means clustering
particle swarm optimization
learning behavior
68t05
title Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
title_full Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
title_fullStr Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
title_full_unstemmed Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
title_short Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
title_sort research on the cultivation mode of russian language talents in the context of hainan free trade port based on big data statistical analysis
topic talent training model
hainan free trade port
k-means clustering
particle swarm optimization
learning behavior
68t05
url https://doi.org/10.2478/amns.2023.2.00693
work_keys_str_mv AT huangyanrui researchonthecultivationmodeofrussianlanguagetalentsinthecontextofhainanfreetradeportbasedonbigdatastatisticalanalysis