Application Of Decision Tree Algorithm Based On Vector Reference In College Entrance Examination Volunteer

It's a starting point of the career for the students who have passed the college entrance examination to choose a major before college life. Choosing a right major which match to his own personality will be a precondition to the career. This study try to find the regular matching pattern between student and major by data mining and find the required rules to build the major selection system.The main task of the study is to find out the match type and doesn't match type of each major and change these to natural language. For giving an overall view to the students. The essence of decision tree is a forecasting model which base on the historical data, due to the specificity of the assessment data. The accuracy of traditional algorithm can't reach the desired effect. This study associate the records which have same condition attribute but different decision attribute to the plane vector reference, indicate the classification with sum vector, by change the discrete classification continuously and separate again, flexible meet the diverse needs.