Analysis of Employment Information of University Graduates through Data Mining
-
Published:2024-02
Issue:1
Volume:58
Page:58-65
-
ISSN:0146-4116
-
Container-title:Automatic Control and Computer Sciences
-
language:en
-
Short-container-title:Aut. Control Comp. Sci.
Reference15 articles.
1. Li, Yu., Li, N., and Jiang, M., Employment analysis of university students majoring in environmental materials based on human resources information system, J. Phys.: Conf. Ser., 2020, vol. 1549, no. 2, p. 022108. https://doi.org/10.1088/1742-6596/1549/2/022108 2. Marozzo, F., Talia, D., and Trunfio, P., A workflow management system for scalable data mining on clouds, IEEE Trans. Services Comput., 2018, vol. 11, no. 3, pp. 480–492. https://doi.org/10.1109/tsc.2016.2589243 3. Yu, H. and Zhang, Z., The application of data mining technology in employment analysis of university graduates, 2018 IEEE/ACIS 17th Int. Conf. on Computer and Information Science (ICIS), Singapore, 2018, IEEE, 2018, pp. 846–849. https://doi.org/10.1109/icis.2018.8466511 4. Saravanan, P. and Rajasekaran, K., Comparative study on TAHDCO and SIDBI training programme and its impact of employment prediction based on decision trees and naive Bayes classifier, Waffen- Kostumkunde, 2020, vol. 11, no. 3, pp. 25–34. https://doi.org/10.37896/wj11.03 5. Prabakaran, S. and Mitra, S., Survey of analysis of crime detection techniques using data mining and machine learning, J. Phys.: Conf. Ser., 2018, vol. 1000, p. 012046. https://doi.org/10.1088/1742-6596/1000/1/012046
|
|