Data Mining and Application of Teaching Evaluation Based on Association Rules

被引：7

作者：

Pan Qingxian ^{[1
]}

Qu Linjie ^{[1
]}

Lou Lanfang ^{[1
]}

机构：

[1] Yantai Univ, Inst Comp Sci & Technol, Yantai 264006, Peoples R China

来源：

ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION | 2009年

关键词：

data mining; association rules; Apriori algorithm; teaching evaluation; index system;

D O I：

10.1109/ICCSE.2009.5228194

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The target of dada mining is to extract the potential, valuable pattern or regulation in the data from a great quantity. With the fast development of computer net, the large of data of teaching evaluation is accumulated. The analysis and processing technology to evaluation data is worse than data acquisition technology, which does not satisfy the demand of fairness, justice, objective, scientificalness of evaluation. In accordance with the multi-dimension relevance and time sequence relevance of evaluation data, the paper introduces the application of data mining technology. Taking the student evaluation as example, the author uses the modified Apriori algorithm, builds the evaluation index system based on association rules, and applies theses to the practical work, and the good effect is got.

引用

页码：1404 / 1407

页数：4

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