摘要
本文对数据挖掘中关联规则和序列模式的概念和作用进行了研究,论述了在关联规则中寻找大项集的Apriori算法的实现,以及在序列模式基础上对Apriori算法的结果进行了改进和优化,使数据的关联规则与时间和序列之间建立了密切的联系,从而更好的实现了对于大规模数据库中有用信息的挖掘和利用。
This paper principally studied the models of data digging: association rales and sequential patterns. In this article, we expound the realizing of Apriori algorithm in searching Large Itemsets with association rules, and based on sequential patterns of data digging to optimize the result of Apriori algorithm. So, we can set up closed connection between association rules and time sequence and make good use of the large scale data base to dig the useful information.
出处
《山东机械》
2003年第5期44-46,64,共4页
