Data Mining Technology In Secondary Vocational School Enrollment Decisions

With expanding vocational colleges’ enrollment in recent years, in the form of enrollment has gradually diversified, very intense competition between vocational institutions. What should make full use of the enrollment of the school already resource information, and to promote vocational institutions in the annual enrollment publicity, enrollment plan put Institute professional setting, students choose many ways to be able to make a very correct decision, is often placed The key issue in vocational schools before. Enrollment many ways to use the experience of the past, not targeted blind, no way just to have limited experience will expand enrollment information effective, so it can not ensure the quality of students being admitted and the registration rate.Data warehouse and data mining technology from data information discovery rules to guide decision-making, and are widely used in many fields and get a lot of success. The introduction of data warehouse and data mining technology in the field of vocational colleges’ enrollment, will help to solve the above problems. Thesis enrollment, enrollment data Vocational and Technical College from2010to2011, for example, from the application point of view, based on data warehouse technology, data mining knowledge discovery. The main goals are as follows:A comprehensive analysis and comparison, the choice of the right data warehouse platform and data mining toolsSecond, the study proposes a simple and efficient design and implementation of data warehouse. Data from different data sources, in different formats, extraction, clean-up, integration, transformation, loading, to complete the establishment of the admissions decision-making data warehouse.Third, based on enrollment data warehouse OALP analysis, analysis and visualization rendering of biogenic structures, biogenic wastage.Using correlation analysis, decision tree analysis, cluster analysis and data mining method to find students source level, the intrinsic relationship between grades, graduate school, professional setting with students wastage.Fifth, and finally, according to the results of the above analysis, the rules get, analyze, evaluate and compare the proposed admissions strategies and recommendations for the admissions decision-making reference.The results show that the data warehouse and data mining technology has played a significant role in the field of vocational colleges’ enrollment can be easily found from admissions information a lot of potentially valuable knowledge, enrollment strategy, provide a very effective decision support information, guidance enrollment scientific and rational, reasonable set of professional, efficient advocacy Freshmen Enrollment Rate and students’ quality. Expand the scale of the entire vocational institutions, to improve the educational quality has important practical significance.