Design and Realization on the Financial Early-Warning Analysis System of Colleges and Universities Based on Data Mining Technology

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.

• Periodical: Applied Mechanics and Materials (Volume 623)
• Pages: 229-233
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.623.229
• Online since: August 2014
• Authors: De Jiang Qi*, Hai Yan Hu
• Keywords: Data Mining (DM), Financial Early-Warning, ID3 Algorithm

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