Design and Realization on the Financial Early-Warning Analysis System of Colleges and Universities Based on Data Mining Technology
Year: 2014
Type: article
Abstract: In this thesis, in order to solve the student arrearage problems in colleges and universities, risk weight factor is introduced to improve ID3 algorithm through the research on data mining technology and the combination with financial management system of colleges and universities so that ID3 decision-making tree algorithm can classify based on the risk weights of all the factors of the financial data; the early warning system scheme on the student arrearage problems in colleges and universities is designed so as to predict the high-risk defaulting students dynamically and accurately and lay scientific foundations for avoiding financial risk in colleges and universities.
Source: Applied Mechanics and Materials
Authors: De Jiang Qi, Hai Yan Hu
Institution: Jilin Business and Technology College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2096367142