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...

Full description

Saved in:
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
Online AccessGet full text

Cover

Abstract 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.
AbstractList 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.
Author Huang, Yanrui
Author_xml – sequence: 1
  givenname: Yanrui
  surname: Huang
  fullname: Huang, Yanrui
  email: h81037554@163.com
  organization: Sanya Aviation and Tourism College, Sanya, Hainan, 572000, China
BookMark eNp1kM1qGzEURkVIIGmSB8hO0LVd_YxHM3RVTFMXAikmWYtrzR1HYSy5upq2foc8dDRxoN0ULXSFztEnvg_sNMSAjN1IMVeVaT7BLtBcCaXnai5E3eoTdqGqqpo19aI-_Wc-Z9dEz0IUVOq6VhfsZY2EkNwTj4HnJ-RuHLL_BdmX8y52yGPP1yORh8AHCNsRtsgzDBgycf_uxJDxT57QFfhQyNuEyB8SFP9HTJlvgLCbIjZ-yzvIwCmXDMrewcAhwHAgT1fsrIeB8Pp9v2SPt18flqvZ3f2378svdzOn9ELOnClLa-zlAp2BTrquMaZrNtAK0HUjhdCAXS-q1oBxTa2qptwK2aiFMKLVl-zj8d19ij9HpGyf45jKJ8hq2Uopa6NNoeSRcikSJeztPvkdpIOVwk6926l3O_VulX3rvTifj85vGDKmDrdpPJThb8B_3VbqV6ASjVQ
Cites_doi 10.1016/j.patrec.2018.08.028
10.3390/electronics11060883
10.1088/1757-899X/392/6/062078
10.1088/1742-6596/1648/3/032143
10.3390/su14095482
10.1016/j.poetic.2019.101426
10.18280/ts.380333
10.2112/SI106-055.1
10.1002/berj.3842
10.1017/S0030605321000867
10.1016/j.giq.2021.101626
10.1109/ACCESS.2020.3005793
10.3390/su14095263
10.1108/JBIM-10-2020-0464
10.3390/su12072710
10.3390/su12114412
10.3390/su15032049
10.3390/su14042232
10.1155/2022/3614883
10.3390/su122410379
10.1155/2022/2010685
ContentType Journal Article
Copyright 2024. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2024. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
COVID
DWQXO
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
DOI 10.2478/amns.2023.2.00693
DatabaseName CrossRef
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
Coronavirus Research Database
ProQuest Central Korea
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
DatabaseTitle CrossRef
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
Coronavirus Research Database
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList Publicly Available Content Database

CrossRef
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central (New)
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
EISSN 2444-8656
ExternalDocumentID 10_2478_amns_2023_2_00693
10_2478_amns_2023_2_0069391
GroupedDBID 9WM
AATOW
ABFKT
ADBLJ
AFKRA
AHGSO
ALMA_UNASSIGNED_HOLDINGS
AMVHM
ARCSS
BENPR
CCPQU
EBS
M~E
OK1
PHGZM
PHGZT
PIMPY
QD8
SLJYH
AAYXX
CITATION
ABUWG
AZQEC
COVID
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c2351-c7c7c33ef15ec7ad1cd877d8ba90a3681003aedf0497a7c86248d8b0182507093
IEDL.DBID BENPR
ISSN 2444-8656
IngestDate Mon Jun 30 11:39:23 EDT 2025
Tue Jul 01 03:14:35 EDT 2025
Thu Jul 10 10:32:52 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License This work is licensed under the Creative Commons Attribution 4.0 International License.
http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2351-c7c7c33ef15ec7ad1cd877d8ba90a3681003aedf0497a7c86248d8b0182507093
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.proquest.com/docview/3191116737?pq-origsite=%requestingapplication%
PQID 3191116737
PQPubID 6761185
PageCount 14
ParticipantIDs proquest_journals_3191116737
crossref_primary_10_2478_amns_2023_2_00693
walterdegruyter_journals_10_2478_amns_2023_2_0069391
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-01-01
20240101
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – month: 01
  year: 2024
  text: 2024-01-01
  day: 01
PublicationDecade 2020
PublicationPlace Beirut
PublicationPlace_xml – name: Beirut
PublicationTitle Applied mathematics and nonlinear sciences
PublicationYear 2024
Publisher Sciendo
De Gruyter Poland
Publisher_xml – name: Sciendo
– name: De Gruyter Poland
References 2024101012282129863_j_amns.2023.2.00693_ref_020
2024101012282129863_j_amns.2023.2.00693_ref_011
2024101012282129863_j_amns.2023.2.00693_ref_010
2024101012282129863_j_amns.2023.2.00693_ref_021
2024101012282129863_j_amns.2023.2.00693_ref_002
2024101012282129863_j_amns.2023.2.00693_ref_013
2024101012282129863_j_amns.2023.2.00693_ref_001
2024101012282129863_j_amns.2023.2.00693_ref_012
2024101012282129863_j_amns.2023.2.00693_ref_004
2024101012282129863_j_amns.2023.2.00693_ref_015
2024101012282129863_j_amns.2023.2.00693_ref_003
2024101012282129863_j_amns.2023.2.00693_ref_014
2024101012282129863_j_amns.2023.2.00693_ref_006
2024101012282129863_j_amns.2023.2.00693_ref_017
2024101012282129863_j_amns.2023.2.00693_ref_005
2024101012282129863_j_amns.2023.2.00693_ref_016
2024101012282129863_j_amns.2023.2.00693_ref_008
2024101012282129863_j_amns.2023.2.00693_ref_019
2024101012282129863_j_amns.2023.2.00693_ref_007
2024101012282129863_j_amns.2023.2.00693_ref_018
2024101012282129863_j_amns.2023.2.00693_ref_009
References_xml – ident: 2024101012282129863_j_amns.2023.2.00693_ref_015
  doi: 10.1016/j.patrec.2018.08.028
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_011
  doi: 10.3390/electronics11060883
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_016
  doi: 10.1088/1757-899X/392/6/062078
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_013
  doi: 10.1088/1742-6596/1648/3/032143
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_004
  doi: 10.3390/su14095482
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_018
  doi: 10.1016/j.poetic.2019.101426
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_008
  doi: 10.18280/ts.380333
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_014
  doi: 10.2112/SI106-055.1
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_005
  doi: 10.1002/berj.3842
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_002
  doi: 10.1017/S0030605321000867
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_006
  doi: 10.1016/j.giq.2021.101626
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_009
  doi: 10.1109/ACCESS.2020.3005793
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_017
  doi: 10.3390/su14095263
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_007
  doi: 10.1108/JBIM-10-2020-0464
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_010
  doi: 10.3390/su12072710
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_012
  doi: 10.3390/su12114412
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_020
  doi: 10.3390/su15032049
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_003
  doi: 10.3390/su14042232
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_019
  doi: 10.1155/2022/3614883
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_001
  doi: 10.3390/su122410379
– ident: 2024101012282129863_j_amns.2023.2.00693_ref_021
  doi: 10.1155/2022/2010685
SSID ssj0002313662
Score 2.2429812
Snippet 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...
SourceID proquest
crossref
walterdegruyter
SourceType Aggregation Database
Index Database
Publisher
SubjectTerms 68T05
Hainan Free Trade Port
K-Means clustering
Learning behavior
Particle swarm optimization
Talent training model
Title Research on the cultivation mode of Russian language talents in the context of Hainan Free Trade Port based on big data statistical analysis
URI https://www.degruyter.com/doi/10.2478/amns.2023.2.00693
https://www.proquest.com/docview/3191116737
Volume 9
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8QwEA4-Ll58i-tjmYMnoW6bpE16EpVdFkGRRdFbSZtUPNjVfaD-B3-0M93URUHpsUlbOknmm9c3jB2lXJU6sWipptIE0jgZ5GUcBhqVIyqc1MV1BP_qOunfycuH-ME73MY-rbI5E-uD2g4L8pF3cKlEFDMQ6vTlNaCuURRd9S00FtkyHsEaja_l8-71zeDby4LoRSQJn4UzuVS6Y54rYunm4oSYOpNU_FRIc5S5-lbHq617HE0_Jk18tFY7vXW26vEinM0EvMEWXLXJ1jx2BL8zx1vss0mhg2EFCOqAKDV85zKgdjcwLGEwHVPNJDROSkDkTYkU8OTnEFXV-4SG9qmqqoLeyDlAfYbzKecUSOlZekX-9AiUXQpUkVSTPeNXGs9wss3uet3bi37gOy0EBRdxFBQKLyFcGcWuUMZGhdVKWZ2bNDSCKMtCYZwt0ZxQRhVUVKLxbojGCeLJMBU7bKkaVm6XgcyNNoUVPC615NyYlGsTxlaFNimTRLXYcfO7s5cZoUaGhgjJJiPZZCSbjGe1bFrsoBFI5vfWOJuvhBaTv4Q0H_XnM9No7_-n7rMVHC9nfpYDtjQZTd0hIo9J3sYD9P6q7RfZF15c2zI
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5V2wNcCuUhFkqZA1yQQhPbiZMDQi10taXtClWt1JtxYqfqodmyD5X-B34Lv5GZxGEFEtyqHGM7UWbi-TyPbwBeF0LXeebopFooGynrVVTWaRzlZBzJ4BQ-bSP4x5NsfKY-n6fna_Czr4XhtMp-T2w3ajet2Ee-Q6qScMxA6g_X3yLuGsXR1b6FRqcWh_72ho5s8_cHn0i-b4QY7Z9-HEehq0BUCZkmUaXpktLXSeorbV1SuVxrl5e2iK1keq5YWu9qgs7a6ooLKHK6GxMQJ-zUki_Rlr-uJB1lBrC-tz_5cvLbq0NoSWaZ6MKnQul8x141zAou5DtmBs0K-acBXKHajZs2Pu78xWx5u-jjsa2ZGz2EjYBPcbdTqE1Y880jeBCwKoadYP4YfvQpezhtkEAkMoVH6JSG3F4HpzWeLOdco4m9UxQJ6XPiBl6GOUyN9X3BQ8dcxdXgaOY9kv2k-ZzjimxkHT-ivLxAzmZFroBqyaXpLW1gVHkCZ3cig6cwaKaNfwaoSpvbykmR1rkSwtpC5DZOnY5dVmeZHsLb_nOb647Aw9DBh2VjWDaGZWOEaWUzhK1eICb8y3Oz0rwhqL-EtBr1zzWL5Pn_V30F98anx0fm6GBy-ALu01zV-Xi2YLCYLf1LQj2LcjuoGsLXu9buX_XrFgA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6VrYS4lLdaKDAHTkihiR-xfayAZXkVBFTqzXJip-qBbLUPtfwHfjQzWYcKBBeUoz1O5Ik933hmPgM8dcJ0to7kqToVChWSKppOl4Ul40gGxyU9RPA_HNWzY_X2RJ9sQTXWwgz7fhyilQfnsRtSlZWxB-Fbz-TaQj5ngs3ayWuwbbQTegLbh7PXXz7-OlghwCLrWmwimH-X_d0GXQHLnYshRB3T6WL9fTWGRAdLM70FOxki4uFGp7dhK_V34GaGi5gX4_Iu_Biz5nDeI-E4ZBaNfFkZ8g03OO_w83rJZZI4nksigW3OncCzLMPsVJcr7jrjQqoep4uUkEwYyXOaKbKdi_yK5uwUOaEUuQhp4HemrwyZ1OQeHE9ffX0xK_LlCkUrpK6K1tAjZeoqnVoTYtVGa0y0TXBlkMxSVsqQYkcehAmm5ToSS60l-SMEIUsn78Okn_dpF1A1wYY2SqE7q4QIwQkbSh1NGeuurs0ePBun259vODQ8-R6sG8-68awbL_ygmz3YHxXi83JaetonKg4YSRpL_aGkq17_HNNVD_5P7Alc__Ry6t-_OXr3EG5Qm9qcvuzDZLVYp0eER1bN4_wH_gTHQd0Z
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Research+on+the+cultivation+mode+of+Russian+language+talents+in+the+context+of+Hainan+Free+Trade+Port+based+on+big+data+statistical+analysis&rft.jtitle=Applied+mathematics+and+nonlinear+sciences&rft.au=Huang%2C+Yanrui&rft.date=2024-01-01&rft.issn=2444-8656&rft.eissn=2444-8656&rft.volume=9&rft.issue=1&rft_id=info:doi/10.2478%2Famns.2023.2.00693&rft.externalDBID=n%2Fa&rft.externalDocID=10_2478_amns_2023_2_00693
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2444-8656&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2444-8656&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2444-8656&client=summon