一种时序关联规则改进算法的研究  

Research on a method of improved temporal sequence association rule mining

作　　者：王果[1] 何晓华[1] 骆晓艳[1] 胡志波[1] 陈素[1] 

机构地区：[1]广州中医药大学信息技术学院,广东广州510006

出　　处：《科技创新导报》2009年第9期249-249,共1页Science and Technology Innovation Herald

摘　　要：对海量的时间序列进行处理,挖掘其背后蕴涵的价值信息具有重要的意义。本文结合了时序逻辑和数据挖掘的知识对基于FP_树的时序关联规则展开了研究,并在传统的算法基础上提出了一种改进算法。该方法不用生成大量的频繁模式候选集,从而提高了时序关联规则的挖掘效率。Research on much temporal sequence association rules mining has an important practical meaning,so this paper researct on temporal sequence association rule mining based on improved FP-tree is proposed. Experimental results indicated that the proposed method has improved the efficiency of customer temporal sequence association rule mining.

关 键 词：数据挖掘FP-growth算法时序关联规则 

分 类 号：G639.21[文化科学—教育学]