Data Mining Based On The University Scholarship,grants And Loans Information System Design And Implementation

College student scholarships, grants and loans application, assessment and issuing of work, because about personal interests, has been widely attention from all walks of life, including schools, especially for students and parents. The traditional manual audit operation is very easy to get wrong, statistical analysis of data is too single. Existing in colleges and universities in the educational administration information system contains a large amount of data, the data is only stored in the database, the implied meaning in the data can not be fully utilized, which is the data value indirect waste. Based on the above problems, this paper mainly on two aspects:(1) will be done by manual operation at the present stage of university scholarships, grants and loans work using ways to implement the informatization system, namely, build grant credit information management system, can greatly reduce the workload of manual operation of big, also can be a very good guarantee the accuracy, fairness, etc.(2) using the algorithm of association rules mining technology, to student's academic performance, family situation, awards, school and social activities,evaluation of a thorough analysis of the complex data reflect the students' comprehensive situation under the superposition of accurate. Unearthed at the same time, using association rule algorithm each grants the connection between the credit information, analysis the advantage of access to grant credit factors and failed to get the disadvantage factors, and through the data mining of predicting module, help students apply for credit for forecast the possibility of application for a grant loans,and analyzing the students' own situation grant credit for this phase, so that students are targeted to strengthen and improve.College students grants credit information system based on data mining operation shows that the system reduces the heavy manual operation, improve work efficiency,guarantee the accuracy of the data, fairness; And unearthed the grants the connection between the credit information, help the students analyze the advantage of access to grant credit factors and failed to get the disadvantage factors, has strong practicability.