本文将聚类思想引入到关联规则挖掘中。
In this paper, we combine cluster method with mining association rules.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
常用的数据挖掘方法包括描述、分类、关联规则、聚类、孤立点检测、模式匹配、数据可视化等。
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
应用推荐