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聚类与关联规则挖掘算法及其应用研究
Clustering and Association Rule Mining Algorithms and Their Applications
【摘要】 该文介绍了数据挖掘中两种重要的算法:1)发现数据分布和隐含模式的聚类算法;2)应用最为广泛的挖掘方法之一关联规则挖掘算法,并就它们在应用型院校本科教学评估中的应用进行了研究。
【Abstract】 In this paper,two important algorithms of data mining are introduced:1) the clustering algorithm of found data distribution and hidden patterns;2) the association rule mining algorithms which is one of the most widely used data mining methods.The application of the two algorithms in the undergraduate teaching evaluation of application-oriented college is studied in this paper.
【关键词】 数据挖掘;
聚类;
关联规则;
置信度;
支持度;
【Key words】 data mining; clustering; association rules; confidence; support;
【Key words】 data mining; clustering; association rules; confidence; support;
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2008年27期
- 【分类号】TP311.13
- 【被引频次】6
- 【下载频次】146