| Abstract：In order to improve the employment percent of students in higher vocational colleges, it is necessary to predict their em-
ployment situation and find out the main factors that affect their employment. This paper uses the cluster analysis intelligent technol-
ogy of data mining technology to analyze the data of graduates in the database of higher vocational colleges, and forecasts the em-
ployment situation in the future through the analysis results. By using the model-based method of clustering technology, the main
factors affecting employment can be found through the established classification tree. The relevant leaders of employment manage-
ment in higher vocational colleges can make decisions according to the classification results, which is conducive to improving the
employment percent of higher vocational colleges. |
