The Application Of Admission For Data Mining Technology In College Enrollment Data

The principle of higher education is becoming increasingly popular, all colleges anduniversities seeking students, the Department of Education allocated enrollment plan on schoolsize and school quality conditions, so strive for more and better students between colleges anduniversities potential"war." How blind do not waste that will be able to secure more and betterstudents? It relates to many factors, including Enrollment, the enrollment plan put in students thetrade-off, professional settings, it is necessary it from the calendar year of admission to report thedata to find the relationship, thus a better basis for enrollment. Basically, the institutions are usingexcel on enrollment data for simple one-dimensional analysis, can not dig out the more valuableinformation. Therefore, in this article, I mainly use the more cutting-edge data mining technologyfor a deeper analysis of enrollment data to identify the impact of the enrollment work moreaccurate the more effective factor.In this paper, two classic techniques of data mining: association rules and decision trees. UseApriori association rules algorithm and decision tree algorithm C4.5algorithm to calculate thescore in the training set data, to students, candidates categories, find out the rules and buildmathematical models, and then pass the test set data data mining tools in SQL sever2005, mining,obtained the mining model in the model using the model on the basis of accurate assisted analysis,and the corresponding validation on the validation set data.In this paper, two classic techniques of data mining: association rules and decision trees. UseApriori association rules algorithm and decision tree C4.5algorithm to report the number ofprojections on enrollment data, the total score, the students to, the candidate categories onadmission. In addition, through the use of Microsoft SQL sever2005association rules algorithmand the Microsoft Decision Trees algorithm aided analysis of the mining process, and thecorresponding validation.Proven more accurate model, this model to identify the correlation between various factorsand candidates to report a great help to the admission exercise.