Application of Association Rule in College Web Teaching Evaluation System

被引：0

作者：

Zhu, Huishuang ^{[1
]}

机构：

[1] Weifang Univ, Weifang 261061, Peoples R China

来源：

2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3 | 2010年

关键词：

Data Mining; Web Teaching Evaluation; Association Rule; Apriori Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Association Rule is one of the most important approches in data mining field, and it is the most mature technical mode that researched most by now. This paper researched the Association Rule, analyzed and improved the Apriori algorithm, and applied it into the college web teaching evaluation system. By mining the students' evaluation data and the teachers' archives data, we can get the latency information and analyze the key factors which affect the quality of teaching.

引用

页码：1396 / 1399

页数：4