Employment Analysis of College Students Based on Data Mining Algorithm
Abstract
With the popularization of higher education and the development of social economy, the employment of college students has been
paid more and more attention. This paper aims to use data mining algorithm to conduct in-depth analysis of the relevant data of college students employment, summarize the key factors affecting college students employment, and provide targeted suggestions for college students
employment, aiming to help college students understand the demand of the job market and improve their comprehensive quality.
paid more and more attention. This paper aims to use data mining algorithm to conduct in-depth analysis of the relevant data of college students employment, summarize the key factors affecting college students employment, and provide targeted suggestions for college students
employment, aiming to help college students understand the demand of the job market and improve their comprehensive quality.
Keywords
Data mining algorithm; College student employment; Influencing factors; Employment strategy
Full Text:
PDFReferences
[1] Liu Z Y. Research on network data information analysis Algorithm based on data mining technology [J]. Office Automation, 2019,
29(12):26-28+51.
[2] CAI Zhaozhu. Exploration on Employment Assistance for College Students under the background of Big Data [J]. Journal of Huaibei
Vocational and Technical College, 2019, 23(4):52-55.
[3] Ma Yiwen. Mining method of college students' career guidance resources based on Data mining [J]. Information Technology, 2017,
48(2):128-131+137.
DOI: http://dx.doi.org/10.70711/eer.v2i6.5456
Refbacks
- There are currently no refbacks.