Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

<Previous Article In Volume
Next Article In Volume>

Establishment and Analysis of University Enrollment Promotion Strategy Prediction Model Based on Big Data Analysis Model and Market Response Prediction

Authors
Xin Zhao1, *, Yiyu Chen2, Wenlong Wang3
1Dean’s Office Undergraduate admissions office, University of Electronic Science and Technology of China, Chengdu, China
2Enrollment and Employment Division, Southwest Petroleum University, Chengdu, China
3Admissions office, Sichuan Agricultural University, Chengdu, China
*Corresponding author. Email: zx@uestc.edu.cn
Corresponding Author
Xin Zhao
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_96How to use a DOI?
Keywords
College Admissions; Market Forecasting; Nowcasting; Big Data Analysis Model
Abstract

The article analyzes and studies the problem of college enrollment publicity strategy prediction, uses the market reaction prediction theory in marketing, and uses the brand selection model, Cox proportional risk model, Buzz model, big data analysis model, and the concept of spot testing to build a college enrollment publicity prediction model, which provides a scientific and reasonable solution for colleges and universities to formulate enrollment publicity strategies. The conclusions of this study can better guide colleges and universities to formulate enrollment publicity strategies, and provide methods for colleges and universities to optimize the structure of students.

Copyright
© 2022 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 Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_96How to use a DOI?
Copyright
© 2022 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  - Xin Zhao
AU  - Yiyu Chen
AU  - Wenlong Wang
PY  - 2022
DA  - 2022/12/30
TI  - Establishment and Analysis of University Enrollment Promotion Strategy Prediction Model Based on Big Data Analysis Model and Market Response Prediction
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 872
EP  - 878
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_96
DO  - 10.2991/978-94-6463-108-1_96
ID  - Zhao2022
ER  -