The Application of Data Mining in the Community Characteristics Analysis of University Students

Abstract:

This paper made a in-depth research on the application of data mining in academic management system based on overall understanding of data mining, and selected the data sample of students in grade 2007 of Logistics Management major of Logistics School of Beijing Wuzi University, this paper used Clementine software to establish decision tree model and clustering model to analyze students’ cluster characteristics by taking students’ academic achievement, score of college entrance examination, CET 4 and CET 6 level, students’ family income and psychological health, the research can help school notice development features of students in order to improve way of students’ cultivation.

• Periodical: Advanced Materials Research (Volumes 1008-1009)
• Pages: 1530-1535
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.1530
• Online since: August 2014
• Authors: Xu Feng Zhang, Zi Min Wu, Qiu Chao Deng, Li Qiu Song
• Keywords: Academic Achievement, Community of University Students, Data Collection, Data Mining (DM)

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