Research and Application of Data Mining(DM) in the Analysis of Postgraduate Admission Information

Hui Hui

doi:10.4028/www.scientific.net/AMM.687-691.1254

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research and Application of Data Mining(DM) in the...

Research and Application of Data Mining(DM) in the Analysis of Postgraduate Admission Information

Abstract:

By applying the DM technologies such as Association analysis and Cluster analysis, this paper has made systematic empirical research combined with the postgraduate admission data of the key College C in Beijing, and also made description and analysis of the mining results. This paper has applied the DM method and knowledge theory in practice, which has offered strong support for the postgraduate admission management of College C.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1254-1257

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1254

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Online since:

November 2014

Authors:

Hui Hui*

Keywords:

Analysis of Postgraduate Admission Information, Data Mining (DM), Dm Model

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* - Corresponding Author

References

[1] B.C. Xie. Data Mining Clemintine Practical Applications. Beijing: China Machine Press (2008).

Google Scholar

[2] H.T. Zhao. Jamie MacLennan. Data Mining with SQL Server 2005. Beijing: Tsinghua University press, 2007. 1.

Google Scholar

[3] Chief Editor , Yuan Chang'an. Data Mining Principles and SPSS Clementine Applications. Beijing: Electronic Industry Press, 2009. 8.

Google Scholar

[4] W.W. Zhao. The Research Realization of Data Mining Technology in the Student Pool Analysis. Sichuan: Southwest University of Science and Technology, (2006).

Google Scholar

[5] X.Z. Wu etc. Frontier Issues of Data Mining. Beijing: China Statistics Press, 2009. 3.

Google Scholar