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Intelligent Technology of ClusterAnalysis and ItsApplication in Employment
Prediction of Higher Vocational Colleges |
LI Shi-ke |
Henan Institute of Economics and Trade |
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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.
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Published: 10 March 2020
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