关联规则挖掘理论及其应用研究  

The Mining Theories of Association Rules and its Application Research

作　　者：覃宝灵[1] QIN Bao-ling （Information ＆ Educational Technology Center of Foshan University,Foshan 528000,China）

机构地区：[1]佛山科学技术学院信息与教育技术中心,广东佛山528000

出　　处：《电脑知识与技术》2007年第9期1374-1375,共2页Computer Knowledge and Technology

摘　　要：关联规则是数据挖掘的重要概念,其应用研究是目前数据挖掘研究的热点之一。本文针对目前学校教学评价中因缺乏有效、科学的方法而造成的不合理问题,为了解决这些问题,在查阅大量资料,并通过教学评价数据的有效挖掘,运用关联规则挖掘理论技术,构建教学评价新模式,从而使教学评价公平、公正、合理和高效,并通过实例阐述其在教学评价中应用的重要性。Association rules is the important concept that the data mining, its application research is the hot that the data mining research currently to order it a. This text aims at Currently, effective and scientific methods lack in the field of the school teaching evaluation, which results in unreasonable problem, for resolving these problems, be checking a great deal of data, and pass the valid excavation of the teaching evaluation data, usage the mining theories technique of association rules, set up the teaching evaluation new mode, aimed at making it fair, just, reasonable and efficient, and elaborate it through a solid example applied importance in the teaching evaluation.

关 键 词：数据挖掘 关联规则 教学评价 

分 类 号：TP[自动化与计算机技术]