Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Financial Aid Segmentation in Universities Based on CLS-RFM Model and Cluster Analysis

Authors
Zhongqiang Sun1, Wenhao Ying2, *, Qing Xu3
1School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China
2School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, Jiangsu, China
3College of Electrical and Automation Engineering, Changshu University of Technology, Suzhou, Jiangsu, China
*Corresponding author. Email: ywh@cslg.edu.cn
Corresponding Author
Wenhao Ying
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_111How to use a DOI?
Keywords
campus big data; poor college students; college financial aid; improved RFM model; clustering
Abstract

At present, colleges and universities have established more comprehensive financial aid systems for poor college students, but due to the traditional poverty identification methods are subjective, poverty indicators are difficult to quantify and other factors, making the identification of poor students still a difficult problem in college financial aid decision-making. In this paper, based on the campus big data, we analyze the consumption behavior information, living habits and study situation of college students as well as propose a variant of CLS-RFM model. The information entropy modified hierarchical analysis is used to determine the parameter weights from a combination of quantitative and qualitative perspectives on the index factors of students’ consumption, life and study, and cluster analysis is performed on students according to the improved RFM variables. In this paper, the model is applied to the actual problem and data to assist a university's financial aid, proving the effectiveness and feasibility of the method.

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.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_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  - Zhongqiang Sun
AU  - Wenhao Ying
AU  - Qing Xu
PY  - 2023
DA  - 2023/06/30
TI  - Financial Aid Segmentation in Universities Based on CLS-RFM Model and Cluster Analysis
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1053
EP  - 1062
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_111
DO  - 10.2991/978-94-6463-172-2_111
ID  - Sun2023
ER  -