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 risk-weight 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 high-risk owing students to provide the more scientific basis for the management decision of the leadership of colleges and universities.