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A Case Study to Predict Career Development by Comprehensive Quality Evaluation Data of College Students

  

  1. (School of Information and Software Engineering, Northeast Normal University, Changchun 130117, China)
  • Received:2017-03-17 Online:2017-11-21 Published:2017-11-21

Abstract: Around the research on the employment guidance of college students, it has become a widely accepted way that uses a large amount of data accumulated in the process of teaching management and data mining methods to provide an objective basis for guiding the work. In this paper, we study a case to solve some problems such as the data dimension is single, the data analysis method is simple and the data application is not enough. Based on the comprehensive quality evaluation data of a normal university students in the past five years, we predict the students career development direction by using the grey prediction model, classification rules, association rules, etc. And we can provide the objective basis of work implementation for college student management workers. The result shows that the accuracy of prediction is up to 81.82%.

Key words: data mining, grey prediction, career planning of college students, students career development

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