Research Of The Relation Between The Curriculum System And Employment Distribution Based On Data Mining

With the deepening of education reform, the graduate employment problem has become the focus in the great majority of schools and social concern. Today, through the current difficult employment has become an indisputable fact to reflect on why to review, what to teach.This paper is discussing about the course system setting (what to teach), analyzing the association between its, through the existing curriculums data, the graduates employment data and the students score data, trying to discover the relationships through the analysis data mining, providing a certain degree of reference for the course setting and today’s students elective courses. As the theoretical of the curriculum setting has been set up very detailed, this article is explained briefly in reference, and more may refer to relevant literature. At the same time, it has given concisely some interpretation of the data mining theory because the analysis involves a large number of the data mining analysis process and results.We present this analysis of the research subject of data sources, Research significance and Research purposes, and describe the current status of the graduates employment and forecast its trend in the first chapter; In second chapter, we discuss the development of the data mining technology, tendency, application in the field of education, and the basic description of the main principles of the data mining, algorithms and applications which involved; In third chapter, we briefly describe the data preparation, arrangements processes, as well as a variety of graduate Score data analysis——the Frequency analysis, the normal analysis, the mean analysis, the correlation analysis, the association analysis, the cluster analysis, etc. In fourth chapter, we mainly built on the regression model, the association model, the clustering model, etc. In fifth chapter, we give the previous analysis conclusion and the model promotion.