Job Industry Analysis based on Decision Tree Algorithm
DOI:
https://doi.org/10.54097/acj4ta68Keywords:
Data Visualization, Decision Tree Algorithm, Post Data Analysis, Data Preprocessing, Word Cloud AnalysisAbstract
Influenced by various factors such as market economic policies, the employment problem of college graduates has become more and more significant. Therefore, the design of employment job industry analysis based on decision tree algorithm is significant for job seekers. Aiming at the influencing factors such as region, specialty, salary and so on, combined with the prediction model data preparation, data pre-processing, correlation analysis of data, visualization technology, to realize the job industry analysis based on the decision tree algorithm, to provide certain reference basis for the job seekers in the job-seeking project.
Downloads
References
Luo Jia, Li Mingming. Design and application of student employment prediction model based on decision tree algorithm[J]. Integrated Circuit Applications, 2023, 40 (10): 62-64.
SONG Kang, LIU Xinliang, LU Xiaoxia, ZHANG Zhibin, PAN Weibing, LI Zhun, LI Hao. Optimization of hospitalization cost and case mix for patients with obstructive pyelonephrosis based on decision tree model[J]. West China Medicine, 2023, 38 (10): 1530-1536.
WU Hongyang, ZHOU Chao, LIANG Xin, YU Pengcheng, YU Lanbing. Landslide susceptibility assessment and zoning in Yanshan Township, Three Gorges Reservoir Area based on XGBoost model[J]. Chinese Journal of Geological Hazards and Prevention, 2023, 34 (05): 141-152.
Wang Yiliang. Current Situation, Causes and Coping Strategies of "Slow Employment" of College Students[J]. Ideological Education, 2023, (11): 106-111.
Yang Zhengan. Exploration of the use of big data visualization and analysis technology[J]. Science and Technology Innovation and Application, 2023, 13 (32): 46-49.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Education and Humanities

This work is licensed under a Creative Commons Attribution 4.0 International License.







