The Applied Research on Data Mining in the Financial Analysis of University With the Analysis of College Students’Arrears as an Example
In this thesis, the main problem is the risk analysis of students’ payment in the colleges and universities financial management. Through the research of data mining technology, with the integration of the characteristics of financial management system of colleges and universities, the introduction of riskweight to improve ID3 algorithm to enable decision tree algorithm to handle the increased data. We can monitor the current state of payment dynamically and accurately and predict highrisk owing students to provide the more scientific basis for the management decision of the leadership of colleges and universities.
Data Mining Financial Analysis Improved ID3Algorithm Riskweight
Chen Hongfei Wang Xiaoyan
East China Institute of Technology, ECITFuzhou, China East China Institute of Technology, ECIT Fuzhou, China
国际会议
广州
英文
1-4
2011-05-13(万方平台首次上网日期,不代表论文的发表时间)