Title :
The analysis on course grade of college-wide examination based on mixed weighted association rules mining algorithm
Author :
Zhu, Xin-Hua ; Deng, Ya-Qiong ; Zeng, Qing-Ling
Author_Institution :
Coll. of Comput. Sci. & Inf. Technol., Guangxi Normal Univ., Guilin, China
Abstract :
Taking grades of computer cultural foundation course as example, the weighted association rules algorithm have been used to analyze grades of college-wide examination course in this paper, giving the model and mining method of mixed weighted association rules on grade database. Compared to directly apply the Apriori algorithm, more valuable correlations have been obtained between the chapters, chapters and scores, colleges and chapters at the same threshold values. Thus, it is more helpful to guide teachers for their teaching and for the improvement of teaching quality.
Keywords :
computer aided instruction; computer science education; data mining; Apriori algorithm; college wide examination; computer cultural foundation course; course grade analysis; grade database; mining method; mixed weighted association rules; mixed weighted association rules mining algorithm; threshold values; Databases; Ice; USA Councils; Association rules; College-wide examination course; Data mining; Weighted support;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622159
