摘要
通过对不同支持度下序列模式挖掘产生模式个数分布的研究,利用曲线拟合技术,提出一种支持度与序列模式个数的关系模型。在对客户序列数据库子集进行预挖掘的基础上,利用该模型为用户在挖掘前确定支持度阈值提供参考。在不同类型数据集上采用该方法,得到预期结果,表明该方法是正确有效的。
By studying distribution of the pattern number in sequential pattern mining using different support degree,this paper proposes a relation model of support and numbers of sequential pattern.Based on mining on subset of custom sequential database,it uses the relation model to provide users with the reference for determining threshold of the support degree.It uses this method in several different data sets,which gets the expected results,and demonstrates this method is correct and efficient.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第8期93-95,共3页
Computer Engineering
关键词
数据挖掘
序列模式挖掘
支持度
data mining
sequential pattern mining
support degree
