基于窗口的二次关联规则挖掘

The Second Association Rules Mining Based on Windows

传统的关联规则和时态关联规则挖掘只考虑到事务数据库中的各项之间的关系,没有考虑到挖掘出来的关联规则也可能存在一定的关系。为此,本文在基于窗口的时态关联规则之上,提出了二次关联规则挖掘。把一个窗口中的时态关联规则当成一条发生的事务,挖掘出时态关联规则之间存在的隐藏关系。最后,给出了一个实例分析,发现了其中的时态关联规则之间隐藏的关系。

Traditional association rules and temporal association rule mining only consider the relationship between the items in the transaction database, don＇t take into account that the association rules mined out may exist a certain relationship. Therefore, this paper propose the second association rule mining on top of the window-based temporal association rules. Put the temporal association rules in a window as a transaction occurs, dig hidden relationships between the temporal association rules. Finally, we provide a case study, and find the relationship hidden in the temporal association rules.