Application Of Decision Tree Of Data Mining Techniques In The Management Of College Graduates

With the increasing number of admissions each year in higher education, the number of graduates becomes lager and the employment pressure graduates facing is gradually increased, so it is particularly important to find the factors that affect graduates’employment and make the graduates find a good job. Although there is a lot of college graduates data in graduate employment data management information system, the relationship between graduates and graduates of the information cannot be diged out. However, data mining technique is able to do this.Data mining techniques is a process that extracts data from a large excavated data which is failed to find, hidden but is useful information and knowledge. Data mining technology has in many areas got a good application, including healthcare, retail, finance, insurance, etc., But data mining in the field of education has not been got a good use. This article is to apply data mining technology to the field of education, information and discuss related graduates among graduates’whereabouts.This paper elaborated the theory of data mining research status and data mining technology, and the C4.5decision tree algorithm used in this paper is given a detailed description. On the basis of these theories, this paper applies C4.5algorithm to graduates mining employment information, and finally generates decision trees and classification rules which visualizes the results providing theoretical support for graduate employment.Finally, this research project was carried out summary and outlook, summed up the contents of this paper, and future research about this project were discussed.