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Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology

Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology

Yunfei Li, Yubin Hong
Copyright: © 2022 |Volume: 13 |Issue: 2 |Pages: 10
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781683180456|DOI: 10.4018/IJMCMC.293749
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MLA

Li, Yunfei, and Yubin Hong. "Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology." IJMCMC vol.13, no.2 2022: pp.1-10. http://doi.org/10.4018/IJMCMC.293749

APA

Li, Y. & Hong, Y. (2022). Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 13(2), 1-10. http://doi.org/10.4018/IJMCMC.293749

Chicago

Li, Yunfei, and Yubin Hong. "Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 13, no.2: 1-10. http://doi.org/10.4018/IJMCMC.293749

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Abstract

With the rapid development of artificial intelligence, various machine learning algorithms have been widely used in the task of football match result prediction and have achieved certain results. However, traditional machine learning methods usually upload the results of previous competitions to the cloud server in a centralized manner, which brings problems such as network congestion, server computing pressure and computing delay. This paper proposes a football match result prediction method based on edge computing and machine learning technology. Specifically, we first extract some game data from the results of the previous games to construct the common features and characteristic features, respectively. Then, the feature extraction and classification task are deployed to multiple edge nodes.Finally, the results in all the edge nodes are uploaded to the cloud server and fused to make a decision. Experimental results have demonstrated the effectiveness of the proposed method.