摘要
群体研讨环境的首要目的是支持合作型的群体研讨活动。在群体研讨活动中,将会产生一些研讨信息,因此有必要分析研讨信息中的关联关系,为达成研讨共识提供参考。阐述了聚类分析和关联规则的基本概念,其中简单描述了Aprioritid算法,提出了改进的K-Means聚类算法,最后通过实例针对研讨主题进行聚类分析,将关联规则应用在聚类分析的结果中,以实现关联关系的挖掘。
The main purpose of group argumentation environment is support cooperative group discussion activities.In the group discussion activities,it will produced some discussion information,it is necessary to discuss the relationship in the discussion information for providing references to reach a discussion consensus.Elaborated cluster analysis and the basic concepts of association rules,including a brief description of the Aprioritid algorithm,proposed an improving K-Means algorithm,and finally,an example were clustered for the discussion topic,association rules will be applied in the results of cluster analysis in order to achieve in process of the mining for association.
出处
《计算机与数字工程》
2011年第6期36-40,共5页
Computer & Digital Engineering
