Abstract: This paper presents a novel time-series pattern and rule mining technique.The technique is that the time-series data waiting for mining is first converted into sub-time-series data,and then the knowledge underlying in the sub-time-series data is used as a guide to mine the original time series and extract the association rules from them.The paper gives the algorithm for mining time-series pattern or rules and illustrates the technique to be effective and feasible.

摘要： 提出了新颖的时间序列模式和规则挖掘技术。该技术先把待挖掘的时间序列转换成子时间序列数据,然后利用子时间序列所隐藏的知识,来指导对原时间序列的挖掘,从中提取模式或规则。给出了时间序列模式和规则的挖掘算法,并举例说明该算法是有效和可行的。

关键词: 时间序列, 规则, 数据挖掘, 算法

CLC Number: 

• TP18