Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

A Platform for Intelligent Funding Information Management System for Colleges and Universities Based on Random Forest Algorithm

Authors
Ying Wang1, *
1Shandong Institute of Commerce and Technology, Jinan, Shandong, China
*Corresponding author. Email: yingwang112233123@163.com
Corresponding Author
Ying Wang
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_41How to use a DOI?
Keywords
Random Forest Algorithm; Poverty Funding; Funding Information Management; B/S Structure
Abstract

As for the financial aid information management for students with financial difficulties, due to the wide range of financial aid and subsidy objects, various subsidy types, inconsistent time and complicated subsidy review and approval processes, the work of subsidy information management staff are very headache, and it is difficult to improve work efficiency. With the increasing complexity and difficulty of poverty aid work in colleges and universities (CAU), the advantages of informatization are used to integrate poverty aid work into the management of CAU. The random forest algorithm screens and organizes data, realizes intelligent information management, and enhances precise funding for poor college students. This paper uses the B/S structure to build the platform architecture of the funding information management system, and sets up multiple functional modules for the system. After the system design is completed, the CPU, memory and disk usage of the system are tested. It is found that with the increase of concurrent users, its the share has also increased. In the system, the informatization of financial aid application and poverty identification management has been realized, the identification work can be completed more concisely and efficiently, and the update of student poverty information is also very convenient.

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 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_41How 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

TY  - CONF
AU  - Ying Wang
PY  - 2023
DA  - 2023/07/26
TI  - A Platform for Intelligent Funding Information Management System for Colleges and Universities Based on Random Forest Algorithm
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 396
EP  - 403
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_41
DO  - 10.2991/978-94-6463-200-2_41
ID  - Wang2023
ER  -