Machine Learning and Data mining on the innovation of E-sports industry

被引:0
|
作者
Chen, Yiqing [1 ]
Mei, Jie [1 ]
Huang, Steward [1 ]
机构
[1] SKEMA Business Sch Paris, AIBT Program, Paris, France
来源
INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES | 2020年 / 14卷
关键词
Machine Learning; E-sports; Data mining; data analyst; DOTA2; CNN; RNN; LSTM; MOBA games; Depth Learning;
D O I
10.46300/9109.2020.14.15
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
AI technology brings many revolutionary innovation opportunities to the e-sports industry. With the help of data mining, we can analyze the advantages and disadvantages of competitors, and predict the trend of the situation in the future. With the help of the agent created by intensive in-depth learning, it can assist players of different levels to carry out routine training, so as to improve the overall activity of the game. With the help of AI's big data advantage, AI can assist E-sports teaching to regard E-sports specialty as an experimental platform for using cutting-edge technology to reform and innovate traditional education and provide forward-looking guidance for future education. This paper uses CNN, LSTM, and LSTM + CNN three model to predict the outcome of the game according to the heroes selected by both teams, and has achieved good prediction results.
引用
收藏
页码:121 / 132
页数:12
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