Design and implementation of sports performance management system in higher vocational colleges based on data mining

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Abstract

This paper introduces the design and implementation of sports performance management system, firstly, introduces the research background, the domestic and foreign research status, theory gives the project development and use of the Web technology and data mining, and then a detailed analysis of the needs of users, combined with the demand, the system's data flow is analyzed; secondly, discussed in detail the system architecture and database design, based on the realization of sports performance management of each function module are given, and discusses the application of data mining in the system; finally, gives the system test program, verify the correctness of the system function; the sports performance management system developed by ASP.NET technology. The database platform using SQL Server 2005 program, the development platform for the Visual Studio 2008, using the three layer architecture. Based on the above scheme, the achievement of this thesis are: the development of a sports performance management system, the system includes function module test type management, test project management, performance management, sports system transformation, through this system, teachers can complete the sports performance management, statistics work, teachers will come out from the data management of complex free to focus on improving the quality of PE teaching; decision tree ID3 algorithm based on the combination of sports, student test scores, data mining analysis, the formation of students' physique feature value information for teachers' teaching materials, provides reference data, so as to achieve the improvement of PE teaching the quality of the.

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APA

Qin, J. (2017). Design and implementation of sports performance management system in higher vocational colleges based on data mining. In ICMTEL 2016 - 1st EAI International Conference on Multimedia Technology and Enhanced Learning. EAI. https://doi.org/10.4108/eai.28-2-2017.152304

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