Application And Research Of The University Scholarship Based On Data Mining

At present, the management of the university students begins to diversify, but forthe students to pay attention to in academic achievement has not weakened. In order tolet the students enjoy the good university life and finish school work more high standardof, a jury behavior promotion work is essential. Scholarships assessment and rewardplay a significant extent on promoting "Excellence" closer "after" role.But now due to the emphasis on basic education and improve the state of education,universities enrollment every year, a sharp rise in the number of students, so that theyaccumulate a lot of data on student achievement. Usually, school administrators willonly perform simple data storage, query, etc., do not let it be reflected in the role. Forexample, the results of the data is often scholarship competitions scholarship level, thenumber of statistics, etc., did not factor in the results were analyzed.To make these "sleeping" data can "wake up", this paper presents the researchscholarships based on data mining technology analysis. Discover hidden knowledgebehind these data available to relevant staff. First, the theoretical basis of researchconducted overview. Briefly introduction to data mining technology background, steps,tasks, classification, methods and so on. Elaborated data mining methods, withemphasis of this research is to establish a classification tree method chosen, laid thefoundation for subsequent research.The ID3decision tree algorithm is analyzed. Description of the principles andmethods described ID3algorithm, explained the focus algorithm implementationprocess, the algorithm questions about this research often involved and improvementprogram of the problem, issue-oriented reasons for choosing this method and so on.Finally, based on the above technical support, in-depth analyze the data forassessing the scholarship. Determine the object of study, collected in recent years, acollege scholarship three professional achievement data; data cleaning, pre-treatment,including the selection of data, deletion, discrete etc.; use processed data tables,decision trees constructed by the final decision tree, on a scholarship to conduct acomprehensive analysis of the data, get useful information, the corresponding support and help.