Abstract
In recent years, a variety of social problems caused by college students’ mental diseases occur frequently. The introduction of data mining technology into the diagnosis of College Students’ mental health has incomparable advantages over other technologies. It can mine the hidden laws in things. This paper expounds the principle of C4.5 algorithm of decision tree, constructs decision tree by data preprocessing, and predicts mental health by extracting rules. The experimental results show that the algorithm can classify students’ mental health correctly. The mining results can guide mental health educators to make correct counseling plan, which is helpful for decision-making.
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References
Li, D., Guo, M., Duo, Q., Yu, B.: Research and improvement of decision tree pruning algorithm. Comput. Eng. 31(8), 19–21 (2005)
Zhang, M.: Handbook of psychiatric assessment scale. Changsha: Hunan Sci. Technol. Press, 17–19 (1998)
Li, Q., Di, W., Lou, X.: Two algorithms for improving the performance of decision tree. Comput. Eng. Des. 29(15), 3989–3991 (2008)
Xiyu, J., Qiuming, H., Wei, L.: Examples of Data Mining Technology. China Machine Press, Beijing (2009)
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Ping, G. (2022). Application of Decision Tree Algorithm in Mental Health Evaluation. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 85. Springer, Singapore. https://doi.org/10.1007/978-981-16-5854-9_66
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DOI: https://doi.org/10.1007/978-981-16-5854-9_66
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