Autor: |
Huang Yanrui |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
Druh dokumentu: |
article |
ISSN: |
2444-8656 |
DOI: |
10.2478/amns.2023.2.00693 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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