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Evaluation Model of Employment and Entrepreneurship of University Students Based on Classification Algorithm

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  • Huaxiang Fu
  • Gengxin Sun

Abstract

As a new data analysis tool, data mining has developed rapidly. Various types of data sets can be used as data mining objects. Faced with more and more data sources and larger amounts of data today, data mining can effectively obtain valuable information from them and can enable people to better predict possible data information in the future, thereby improving work efficiency. Pheromone update uses a combination of global update and local update. The improved algorithm can balance the relationship between ants’ exploration and development in the process of searching rules. The government’s macroentrepreneurial policy has an important impact on college students’ entrepreneurship. Whether the entrepreneurship can obtain government financial support, whether the entrepreneurial process is simple and easy to do, etc., all affect the enthusiasm of college students to start a business and the success of the business. As an important place for college students to live and study, colleges and universities play a vital role in the growth and future development of college students. Major colleges and universities should improve entrepreneurship education, provide materials and manpower such as teaching materials and teachers, and improve the entrepreneurial quality of college students. In addition, colleges and universities should actively establish and improve the entrepreneurial practice platform for college students to help students gain entrepreneurial experience from practice. As the backbone of the social economy, enterprises should play an appropriate role in college students’ entrepreneurship. On the one hand, they should actively provide entrepreneurial funds, and they should be willing to give college students experience guidance. Only with the joint efforts of the government, universities, and enterprises, can it be possible to establish a practical and effective support system for undergraduate entrepreneurship, promote undergraduate entrepreneurship, and increase the success rate of undergraduate entrepreneurship.

Suggested Citation

  • Huaxiang Fu & Gengxin Sun, 2022. "Evaluation Model of Employment and Entrepreneurship of University Students Based on Classification Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, February.
  • Handle: RePEc:hin:jnlmpe:2477264
    DOI: 10.1155/2022/2477264
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