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Visualization research of college students' career planning paths integrating deep learning and big data

As China's education enters a high-level stage, more and more students graduate from Chinese colleges and universities. In particular, the current employment environment is flexible and multilateral, and there are more and more opportunities to choose from. In view of this situation, this artic...

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Main Authors: Guo, Jing, Qi, Lei
Format: Article
Published: Hindawi Ltd 2022
Subjects:
QA Mathematics
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/42287/
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spelling my.um.eprints.422872023-10-12T07:02:25Z http://eprints.um.edu.my/42287/ Visualization research of college students' career planning paths integrating deep learning and big data Guo, Jing Qi, Lei QA Mathematics TA Engineering (General). Civil engineering (General) As China's education enters a high-level stage, more and more students graduate from Chinese colleges and universities. In particular, the current employment environment is flexible and multilateral, and there are more and more opportunities to choose from. In view of this situation, this article aims to visualize the career planning (CP) path of college students, so as to help college students adapt to the environment of flexible employment. For deep learning and big data (DLBA) technology, this article proposes the LSTM-Canopy algorithm, which is added to the traditional Canopy algorithm to enhance the self-learning clustering ability of the algorithm. Also, this study applies this algorithm to the visualization system of college students' CP path, which can effectively improve the analysis and judgment of experts on career. The experiments in this article have proved that the system can meet the normal use of 400-500 users, and the system server has successfully passed 40 load tests, and the running time is also less than 2.5s, which proves the reliability of the system. Hindawi Ltd 2022-04-12 Article PeerReviewed Guo, Jing and Qi, Lei (2022) Visualization research of college students' career planning paths integrating deep learning and big data. Mathematical Problems in Engineering, 2022. ISSN 1024-123X, DOI https://doi.org/10.1155/2022/6006968 <https://doi.org/10.1155/2022/6006968>. 10.1155/2022/6006968
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA Mathematics
TA Engineering (General). Civil engineering (General)
spellingShingle QA Mathematics
TA Engineering (General). Civil engineering (General)
Guo, Jing
Qi, Lei
Visualization research of college students' career planning paths integrating deep learning and big data
description As China's education enters a high-level stage, more and more students graduate from Chinese colleges and universities. In particular, the current employment environment is flexible and multilateral, and there are more and more opportunities to choose from. In view of this situation, this article aims to visualize the career planning (CP) path of college students, so as to help college students adapt to the environment of flexible employment. For deep learning and big data (DLBA) technology, this article proposes the LSTM-Canopy algorithm, which is added to the traditional Canopy algorithm to enhance the self-learning clustering ability of the algorithm. Also, this study applies this algorithm to the visualization system of college students' CP path, which can effectively improve the analysis and judgment of experts on career. The experiments in this article have proved that the system can meet the normal use of 400-500 users, and the system server has successfully passed 40 load tests, and the running time is also less than 2.5s, which proves the reliability of the system.
format Article
author Guo, Jing
Qi, Lei
author_facet Guo, Jing
Qi, Lei
author_sort Guo, Jing
title Visualization research of college students' career planning paths integrating deep learning and big data
title_short Visualization research of college students' career planning paths integrating deep learning and big data
title_full Visualization research of college students' career planning paths integrating deep learning and big data
title_fullStr Visualization research of college students' career planning paths integrating deep learning and big data
title_full_unstemmed Visualization research of college students' career planning paths integrating deep learning and big data
title_sort visualization research of college students' career planning paths integrating deep learning and big data
publisher Hindawi Ltd
publishDate 2022
url http://eprints.um.edu.my/42287/
_version_ 1781704622066368512
score 13.211869

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