Based On The Data Mining Technology To Analyze Enrollment Information Of Examinees Of Higher Vocational School

In our country,higher vocational education schools have continueincreased enrollment rate for several years. But still many highervocational schools,expecially those private higher vocationalschools,really have poor situation of recruit new students.It is notdifficult to find that,in preliminary recruitment of students,source ofcandidates are inbalance distribution in those schools,and there are alot of examinees choose giving up the matriculation after they have beenenrolled.This not only unbeneficial for those higher vocationalschools’plan of instruction,which made a big waste of the educationalresources;but also waste the enrollment quota,which may deprive somestudents’chances to have education in school.Data mining can distil available information from mass data, theinformation is very valuable, but difficult to rely on experience orcommon sense to infer. Data mining technology research in our countrywas just emerging soon.Stimulated by the economic factors, more and moredecision-making needs to rely on the distilling data in a scientific andsystematic way of data mining.The author applied data mining technology in the association rules,C5.0decision tree. In this paper, the study of data mining techniques,mining data from enrolling higher vocational candidates, analyze thereasons for the loss of candidates, and assess the quality of new students,in order to estimate the enrolling desire of admission candidates. Thenit will seek admission in the pre-targeted propaganda, and try to gettwice result with half the effort when solicited volunteers in theadmission. The author try to find why the examinees choose giving up,theproblem-focused coping:1、Examinees features;2、The interestsprofessions;3、Examinees churn analysis.The study shows that data mining in the application of enrollmentin higher vocational schools have great prospects.Data Mining from theenrollment information to identify potential and valuable rules to guidethe recruitment propaganda, decision-making and professionsmodification to reach of promoting the development of higher vocationaleducation.