模糊關連法則於學生學習成效資料探勘

Using Fuzzy Association Rules to Mining Student's Learning Effects

陳智賢(Jr-Shian Chen) ； 游清柱(Ching-Juh You)

《弘光學報》 46期 (2005/07) Pp. 177-182

https://doi.org/10.6615/HAR.200507.46.15

摘要

學校訂定的課程總表中，低年級基礎課程的學習成效直覺上會影響到未來其他專業課程的學習成效，傳統的方式大多以統計的方式假設各個科目間的關係，再以檢定來驗證之間的關係強度。若是假設沒有列出的關係便無法檢定其關係。本文利用模糊關連法則以學生成績資料庫作為資料探勘的對象，分析科目中的關連法則，期望找出相互具有影響之科目，以做為系上安排課程及教師授課時參考的依據。加強具有影響之基礎科目教學成效，奠定學生未來其他專業課程的學習成效。

關鍵字

資料探勘 ； 模糊理論 ； 模糊關連法則

並列摘要

In the course summary statement which the school stipulates, the study effect of basic course of the lower grade will influence the study effects of other professional courses in the future instinctively. The traditional ways mostly suppose the relation among each subject by way of statistics, intensity of relation while and then verifying by assaying. If suppose the relation not listed can't assay its relation. In this paper, we use fuzzy association rules to mining student's score database as the materials and prospects, the ones that analyses in subject close the rule of connecting, expect to find out subject that has influence each other, the ones that regarded doing as and tied and arranged for course and teacher to consult while giving lessons were accorded with. Strengthen the basic subject teaching effect with influence, establish student's study result of other professional courses in the future.

並列關鍵字

data mining ； fuzzy theory ； fuzzy association rule

參考文獻

Cabena, P., Hadjinian, P., Stadler, R., Verhees, J., & Zanasi, A. (1997), Discovering Data Mining from Concept to Implementation, Prentice Hall PTR

Agrawal, R., Imilienski, T. & Swami, A. (1993), "Mining Association Rules between Sets of Items in Large Databases", Proc. Of the ACM SIGMOD Int'l Conf. On Management of Data, 1993, pp. 207-216.

Agrawal, R. & Srikant, R. (1994), "Fast Algorithm for Mining Association Rules in Large Databases", In Proc. 1994 Int'l Conf. VLDB, 1994, pp. 487-499.

Simoudis, E. (1996). Reality check for data mining. IEEE Expert, October, pp. 26-33.

Strikant, R., & Agrawal R. 1996, "Mining quantitative association rules in large relational tables, " Proceedings of ACMSIGMOD Conference on Management of Data, pp. 1-12.