Welcome to the InfoSci Platform
Research on the Relationship Between College Students' Mental Health and Employment Based on Data Mining

Research on the Relationship Between College Students' Mental Health and Employment Based on Data Mining

Bin Liu
Copyright: © 2022 |Volume: 14 |Issue: 3 |Pages: 17
ISSN: 1935-5688|EISSN: 1935-5696|EISBN13: 9781683180326|DOI: 10.4018/IJISSS.311860
Cite Article Cite Article

MLA

Liu, Bin. "Research on the Relationship Between College Students' Mental Health and Employment Based on Data Mining." IJISSS vol.14, no.3 2022: pp.1-17. http://doi.org/10.4018/IJISSS.311860

APA

Liu, B. (2022). Research on the Relationship Between College Students' Mental Health and Employment Based on Data Mining. International Journal of Information Systems in the Service Sector (IJISSS), 14(3), 1-17. http://doi.org/10.4018/IJISSS.311860

Chicago

Liu, Bin. "Research on the Relationship Between College Students' Mental Health and Employment Based on Data Mining," International Journal of Information Systems in the Service Sector (IJISSS) 14, no.3: 1-17. http://doi.org/10.4018/IJISSS.311860

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In order to grasp the employment psychology of college students more accurately and solve their inner anxiety, the Apripri algorithm of association rules constructs the correlation analysis model of college students' mental health and employment based on data mining. The diagnosis accuracy of association rules for network fault is 98.47%, and the diagnosis time is 0.21s. In the performance comparison experiments of different models, the mean value is above 0.8, the precision is 0.86, the precision is 0.84, the recall is 0.84, and the F1 value is 0.87. It shows that the means of this paper meet the research requirements. In the comparative experiments of different algorithm performance indicators, the accuracy of the mean is 0.87, the precision is 0.85, the recall is 0.84, and the F1 value is 0.88. The means of this paper meet the research requirements.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.