The Application Research Of Data Mining In The Enrollment For Higher Vocational College

In recent years, with the extensive application of information technology, the admissionsdepartment of higher vocational college has accumulated a large number of registeredcandidates’ information and some enrollment data, and the educational and administrationdepartment has accumulated a large amount of data of students’ learning achievement. For along time, due to various reasons, these data have become many information islands andapplication islands because these different management system have no interconnection eachother. In the actual, admission officers often enroll new students depending on theirexperiences and feelings in a relatively short time.With the lack of scientific guidance,theefficiency of enrollment work is very low,and the internal friction of the system is veryserious, which is not conducive to the long-term development for a higher vocational college.In a view of the maximization benefit, analyzing carefully the actual enrollment situationof higher vocational college, borrowing some results from the domestic related literatureand other people’ research, and using the database theory and the concept of warehouse, avocational college enrollment information management system data warehouse framework ofhigher vocational college is designed, the overall objectives andthe overall demand for theconstruction of the data warehouse is analyzed, the specific module of the recruitment datawarehouse and its function are divided. In order to get better guarantee the admitted studentsenrollment rate and better quality of candidates, to realize the limited enrollment to priority ofadmission to school report high probability candidates,recruitment information data in theyears of higher vocational college to and school students grades and other information asthe data source, establishing the examineeinformation data warehouse, not only you candisplay all kinds of information of the candidates, but also to recruit candidatesregistrationrate prediction using decision tree algorithm C5.0. In order to improve the enrollmentinformation data mining system performance, this paper combines the reported schoolstudentslearning to do the correlation analysis, in-depth analysis for vocational collegestudents learn what major problem, the conclusion is conducive to students on the basis of theactual situation of their own to fill the right volunteer, and then guide thehigher vocational education reasonable arrangements for professional colleges, further improve the securitylevel of colleges and universities. The research results of this paper can not only improve thequality of higher vocational colleges admissionsdecisions, but also improve the quality andthe rate of freshmanstudents, these to improve the educational quality has importantpracticalsignificance.