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Score Data Analysis for Pre-Warning Students in University

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2 Author(s)
Xiaolong Zhang ; Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan ; Guirong Liu

This paper describes a case study of score data analysis for the pre-warning students of a university. The analytical method includes statistical approach and data mining. Through statistical analysis for given pre-warning student score data, the present situation and trend, as well as relevant pre-warning information can be acquired. By associating technique, association rules about the curricula show the dependence and relationship among pre-warning courses. The discovered patterns are helpful for decision making, as well as improvement of the quality of college education in a university.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008