摘要
交易数据库中的关联规则挖掘是一个很有价值的问题。现在已有不少关联规则模型,挖掘关联规则的算法也在不断改进。然而,在真正的数据库中,一些特殊的问题还没有被解决。一个主要的未解决的问题就是处理包含时态信息的数据。近几年来,为了解决这个问题,已经提出了基于某些方法的研究。
Mining association rules in a transaction database is a problem with great value. Now there are many models of the association rules, and the algorithms of the mining association rules arc developed unceasingly. However, in the real database, some special problems are also not solved. One of the main unsolved problems is to treat the data containing the temporal information. A survey on some approaches developed in recent years to deal with this problem is provided.
出处
《科技情报开发与经济》
2006年第10期241-242,共2页
Sci-Tech Information Development & Economy
关键词
关联规则
数据挖掘
时态关联规则
association rule
data mining
temporal association rule