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Academic Journal of Engineering and Technology Science, 2020, 3(2); doi: 10.25236/AJETS.2020.030205.

ID3 algorithm-based research on college students’ mobile game preferences and analysis of circumvention paths

Author(s)

Ren Yaxin*, Wang Shaoyu, Luo Yiting, Chen Shuyu

Corresponding Author:
Ren Yaxin
Affiliation(s)

School of Management, Jiangsu University, 212013, Zhenjiang
* Email: 1679976711@qq.com

Abstract

Research on ID3 algorithm-based mobile game preference research and circumvention path analysis for the college students, consult relevant literature for in-depth understanding of classic algorithms and learn effective evasion path methods; by extracting data from college students ‘questionnaire surveys and establishing attribute analysis models, use The data mining method mines the preference attributes of the game, establishes the ID3 decision tree model with the psychological state, and finally forms the decision rules, which aims to analyze the strongly related game attributes that affect the psychological state of the college students, and uses the avoidance path method to circumvent the relevant attributes of the game Research results to provide game application management decisions to minimize the adverse effects of games on college students.

Keywords

ID3 algorithm, mobile game, circumvention path

Cite This Paper

Ren Yaxin, Wang Shaoyu, Luo Yiting, Chen Shuyu. ID3 algorithm-based research on college students’ mobile game preferences and analysis of circumvention paths. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 2: 33-39. https://doi.org/10.25236/AJETS.2020.030205.

References

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