Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

<Previous Article In Volume
Next Article In Volume>

Researched on Improving the Adaptability of Applied Talents in Terms of Integrated Circuit Industry Based on Data Mining

Authors
Wenhua Liu1, *
1Office of Planning and Quality Assessment, Shanghai Urban Construction Vocational College, Shanghai, China
*Corresponding author. Email: lwhuajky@163.com
Corresponding Author
Wenhua Liu
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_111How to use a DOI?
Keywords
Applied Talents; Integrated Circuit; Industry; the Age of Big Data
Abstract

In the age of big data talents of integrated circuit have to face to higher requirements from industry. The education goal of integrated circuit talents should reform relevantly. By data mining, this article deeply analyzes the law of talent adaptability under the influence of big data through discussing the development of integrated circuit technology at same time, and provides some solutions to improve the adaptability of applied talents in the integrated circuit industry. The counterplan includes the following aspect: to construct more cooperation mechanism between colleges and enterprises, to consummate curriculum system, to strengthen internship teaching, to deepen the cultivation of engineering practice abilities. All these methods can help the resolve of talents requirement in integrated circuit to meet the requirement of big data. Data mining would help administrators make scientific decision so as to provide targeted guidance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_111
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_111How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wenhua Liu
PY  - 2022
DA  - 2022/12/02
TI  - Researched on Improving the Adaptability of Applied Talents in Terms of Integrated Circuit Industry Based on Data Mining
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 1091
EP  - 1099
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_111
DO  - 10.2991/978-94-6463-010-7_111
ID  - Liu2022
ER  -