时序规则发现及其算法

Time-series Rules Discovery and Its Algorithm

该技术先把要考察的时间序列转换成子时间序列数据,然后对这些子时间序列数据进行挖掘,从中提取关联规则。给出了时间序列关联规则的挖掘算法,并举例说明该算法是有效的和可行的。

The mining technique is to convert the time-series data waiting for analysis into a series time sub-series data first, and then to excavate these time sub-series data and extract the implicit association rules from them. The algorithm for mining time-series association rules is given.Finally,an example is used as a case to illustrate the technique to be effective and feasible.