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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 19 | Page No.: 5172-5176
DOI: 10.3923/itj.2013.5172.5176
Study of Application of Factors of Volleyball Game Based On Data Mining
Lei Sheng

Abstract: To volleyball game, both athletes and spectators focus on results. Its factors and data are obviously subject and obscured. Therefore this research complement the accuracy of data envelopment analysis and fuzzy of fuzzy comprehensive evaluation, to process the given data. Then study the situation and trends of volleyball groups in data mining. The result shows, to comparable teams, the key to win is whether the current winner can turn the winning advantages to winning result, when both the scores are higher than 20. Meanwhile, the team falling behind should reverse the situation and overcome the rival by functioning tactics properly and the key is to adopt advantages and avoid disadvantages.

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How to cite this article
Lei Sheng , 2013. Study of Application of Factors of Volleyball Game Based On Data Mining. Information Technology Journal, 12: 5172-5176.

Keywords: Data envelopment analysis, volleyball game and data mining

REFERENCES

  • Guo, Q.G. and X.Q. Wang, 2012. Fuzzy comprehensive evaluation model based on DEA and its application. Control Decision, 4: 575-578.


  • Li, G. and X.S. Qiao, 2012. Situation of application of computer technology in China volleyball area. Bull. Sports Sci. Technol., 3: 123-124.


  • Zhang, B., 2013. Dynamics mathematical model and prediction of long jump athletes in Olympics. Int. J. Applied Math. Stat., 44: 422-430.
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  • Zhang, T. and X.L. Gu, 2004. Research on application of homogenous Markov chain in evaluation on sports education qualities. Sports Sci. Res., 4: 74-76.


  • Zhang, Y.J., H.Q. Zhao and J.W. Wu, 2006. Studies of application of data mining in volley tactics analysis. Comput. Appl., 12: 3027-3029.

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