The Analysis and Data Mining of Students’ Online Data Based on Digital Campus

Abstract:

The research takes the campus network users logging on the Internet as the analysis object, using the data preprocessing technology to clean up the original data, combined with statistical analysis and data mining technology to analyze the users access log records, which will result in the form of dynamic charts for Web display, by using Microsoft SQL Server 2008 and Microsoft Visual Studio 2010. Take use of intelligent .NET platform, combined with K-means algorithm to cluster the students information. DMX (Data Mining Extensions) will be used to show the mining results on the Web. The realization of the system can not only carry on correct guide to Internet users and regulate the behavior of students, but also have important guiding meaning to managers and policy makers for analysis and making decision.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 2326-2329
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.2326
• Online since: September 2013
• Authors: Quan Shi*, Yuan Qian, Yan Gong, Xiao Min Zhu, Jun Qiang Yan
• Keywords: Data Mining (DM), DMX, K-Mean, Microsoft Visual Studio.NET

References

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