Abstract
In recent years, the number of college graduates in China has increased tenfold in the past decade . It is more and more difficult for college graduates to find a job, while the number of overseas students is also increasing, which makes it more and more difficult for students to find a job in China. This paper mainly researches and analyzes the employment environment of overseas students based on big data. Based on big data on campus, this paper analyzes and calculates students' behaviors on campus, and finally uses machine learning algorithms to build a prediction model for college students' employment. On the one hand, this research can provide decision-making suggestions for relevant departments; on the other hand to provide employment guidance for college students to provide early warning and guidance services.
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References
Zhang, M.: Application and research of improved AHP model in employment of college students. Open Cybern. Syst. J. 9(1), 1212–1217 (2015)
Choi, J.E., Shin, D.W.: The roles of differencing and dimension reduction in machine learning forecasting of employment level using the FRED big data. Commun. Stat. Appl. Methods 26(5), 497–506 (2019)
Sunhee, Y.: A study on the strategy for improvement of employment rate of using big data. Soc. Convergence Knowl. Trans. 5(2), 49–56 (2017)
Deng, Z., Zhu, X., Cheng, D., Zong, M., Zhang, S.: Efficient kNN classification algorithm for big data. Neurocomputing 195(26), 143–148 (2016)
Duan, M., Li, K., Liao, X., Li, K.: A parallel multiclassification algorithm for big data using an extreme learning machine. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2337–2351 (2018)
Park, J., Lee, H.: Prediction of high turbidity in rivers using LSTM algorithm. J. Korean Soc. Water Wastew. 34(1), 35–43 (2020)
Shi, H., Hu, S., Zhang, J.: LSTM based prediction algorithm and abnormal change detection for temperature in aerospace gyroscope shell. Int. J. Intell. Comput. Cybernet. 12(2), 274–291 (2019)
Schumacher, M., Holl Nder, N., Sauerbrei, W.: Resampling and cross-validation techniques: a tool to reduce bias caused by model building. Stat. Med. 16(24), 2813–2827 (2015)
Louwerse, D.J., Smilde, A.K., Kiers, H.A.L.: Cross-validation of multiway component models. J. Chemom. 13(5), 491–510 (2015)
Rahmalia, D., Rohmatullah, A., Pradana, M.S.: Estimasi parameter super pairwise alignment pada Kombinasi Virus Dengue Menggunakan particle swarm optimization. TechnoCom 18(3), 264–274 (2019)
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Chen, J. (2021). Employment Environment for Overseas Students Based on Big Data. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_140
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DOI: https://doi.org/10.1007/978-3-030-79200-8_140
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