Article: Analysing university student pension insurance using the K-prototypes algorithm and logistic regression model Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.24 No.6 pp.92 - 102 Abstract: Addressing the pressing issue of 'five insurances and one pension' for financially constrained university students, this study employs the K-algorithm in student pension insurance. This algorithm not only safeguards the fund but also evaluates individuals, offering advantages such as tailored financial planning aligned with consumption capacity and risk tolerance. By integrating factor analysis, a refined evaluation index system for student pension insurance is devised. The study utilises the K-B optimisation method to simulate a student's participation and proposes strategies to enhance investment returns. This approach aims to ensure capital safety, maximise insured interests, and foster societal stability through sustainable development. Inderscience Publishers - linking academia, business and industry through research

Title: Analysing university student pension insurance using the K-prototypes algorithm and logistic regression model

Authors: Qingqing Wei

Addresses: Department of Architecture Engineering, Shi Jia Zhuang University of Applied Technology, Shijiazhuang, Hebei, 050081, China

Abstract: Addressing the pressing issue of 'five insurances and one pension' for financially constrained university students, this study employs the K-algorithm in student pension insurance. This algorithm not only safeguards the fund but also evaluates individuals, offering advantages such as tailored financial planning aligned with consumption capacity and risk tolerance. By integrating factor analysis, a refined evaluation index system for student pension insurance is devised. The study utilises the K-B optimisation method to simulate a student's participation and proposes strategies to enhance investment returns. This approach aims to ensure capital safety, maximise insured interests, and foster societal stability through sustainable development.

Keywords: logistic regression model; K-prototypes algorithm; university students' pension insurance; analysis; impact; application; suggestions.

DOI: 10.1504/IJICT.2024.138563

International Journal of Information and Communication Technology, 2024 Vol.24 No.6, pp.92 - 102

Received: 29 Dec 2023
Accepted: 02 Feb 2024
Published online: 12 May 2024 *

Title: Analysing university student pension insurance using the K-prototypes algorithm and logistic regression model

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