The Application of Mutual Information Attribute Reduction in Extracting Feature Index of Sport Injury

Li Yan Jiang; Ya Ping Zhong; Qing Jian Wu

doi:10.4028/www.scientific.net/AMM.198-199.1545

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199The Application of Mutual Information Attribute...

The Application of Mutual Information Attribute Reduction in Extracting Feature Index of Sport Injury

Abstract:

The sports injury is common in training, hindered the athletes to further improve the sports results. There are many factors in sports injury, How to accurately identify the core, the key factors, is the question needs to be solved in the sport and the medical. The paper fully aware of the advantages of the attribute reduction, putting forward an attribute reduction algorithm based on mutual information, by introducing the concept of information theory, and proving it’s reliability.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1545-1549

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1545

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Online since:

September 2012

Authors:

Li Yan Jiang, Ya Ping Zhong, Qing Jian Wu

Keywords:

Attribute Reduction, Feature Selection, Mutual Information (MI), Sport Injury

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References

[1] Pawlak Z. Rough Sets—Theoretical Aspects of Reasoning About Data [M]. Dordrecht: Kluwer Academic Publishers, 1991: 9 - 30.

Google Scholar

[2] ZENG M, LIU B H, XU Z Y, et al. Short-term load forecasting based on artificial neural network and fuzzy theory[J]. Journal of Hunan University: Natural Sciences, 2008, 35(1): 58-61.

Google Scholar

[3] Yao Y Y. Information granulation and rough set approximation [J]. International Journal of Intelligent Systems, 2001, 16(1): 87 - 104.

Google Scholar

[4] MIAO Duoqian, HU Guirong. A heuristic algorithm for knowledge reduction [J]. Compute Research and Development, 1999, 36(6): 681 - 684.

Google Scholar

[5] JIA Ping, ect. Novel algorithm for attribute reduction based on mutual-information gain ratio[J]. Journal of ZheJiang University, 2006, 40(6): 1041 - 1044.

Google Scholar