Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model

Xinyue Xu

doi:10.47297/taposatWSP2633-456920.20220306

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Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model

Volume 3, Issue 6

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Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model
Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model
School of Computer Science and Technology, Jilin University, Changchun Jilin 130012, P.R. China
Vol. 3, Issue 6, Pages: 123-128(2022)
Published： 25 June 2022 ，
DOI：10.47297/taposatWSP2633-456920.20220306
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Xu Xinyue.Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model[J].Theory and Practice of Science and Technology,2022,03(06):123-128.
DOI：

Xu Xinyue.Evaluation of China's College Financial Aid Based on Personal Data and Credit Score Card Model[J].Theory and Practice of Science and Technology,2022,03(06):123-128. DOI： 10.47297/taposatWSP2633-456920.20220306.

摘要

Abstract

The evaluation of student financial aid has been difficult in fact. At present we tend to adopt artificial subjective judgment to give qualitative analysis

which is not accurate enough

leading to unreasonable resource allocation. In this paper

the data on students' life in school and the actual allocation of financial aid is used to carry out data mining and then establish the relationship model between the two. This article will use the "scorecard model" in the field of financial risk control to score students' school data through quantitative analysis

assisting in the evaluation of aid

increasing its scientificity

and distributing the subsidies to the students who need them most.

关键词

Keywords

Data miningScorecardMachine learning

references

Zhu, Y. (2021). Research on Problems in College and University Student National Grant Accreditation in the New Era and Countermeasures. University Education, 11: 180-183.

Tang, Y., Li, M. (2011) .Applied Research on Data Mining in Consumption Information Management of Disadvantaged College Students. Commercial Science Research, 18: 45-49.

Ma, H., Zhu, H. (2015) .The Analysis and Study of the Relationship between Poverty and Consumer Behavior of College Students Based on the Data of Campus One-Card-Through System. In: International Conference on Simulation, Modelling and Mathematical Statistics (SMMS 2015). Chiang Mai. pp. 402-408.

Ma, J. (2018). Research on the Evaluation Method of Student Financial Aid Based on SVM. Master Thesis of Lanzhou University. 11: 35.

Guo, J., Yang, B., Zhu, J., et al. (2022) .A Classification Model of College Students Funding Level for Imbalanced Samples. Journal of South-central Minzu University (Natural Science Edition), 41: 101-108.

Shi, Y. (2019). Study on Accurate Prediction of University Subsidy on Multi-Strategy Method. Master Thesis of Nanchang University. 2: 61.

Refaat, M. (2011) .Credit Risk Scorecards: Development and Implementation Using SAS. Lulu.com, London.

Yan, X. (2022). Recidivism Risk Evaluation Model for Released Prisoners. Master Thesis of Jilin University. 11: 64.

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