A study of the Influence of Various Characteristic Factors on the Employment Choice of College Graduates Using Data Mining
The employment choice of graduates is influenced by many factors. This paper mined the data of 2015–2019 graduates using the C4.5 algorithm, eliminated the factors with less relevance to employment choice using correlation analysis, and extracted the classification rules from the remaining factors. The results showed that graduates who chose to be employed in state-owned enterprises were mostly Communist Party members who had a grade point average in the top 25%, those who chose to be employed in private enterprises had better English and computer skills, and those who chose to pursue higher education had higher English proficiency and a higher grade point average. English and computer proficiency had an influence on whether graduates chose to freelance, and English proficiency, computer skills, a scholarship and a high grade point average influenced whether graduates succeeded in their employment. The results verify the effectiveness of data mining, which is beneficial in uncovering useful data and enhancing decision making regarding the provision of relevant educational services.
Keywords: data mining, college graduates, employment choice, characteristic factors, decision tree
C. Tang, "A study of the Influence of Various Characteristic Factors on the Employment Choice of College
Graduates Using Data Mining", Engineering Intelligent Systems, vol. 30 no. 6, pp. 417-422, 2022.