research on the structure patterns of the multiple time series 多数据流时间序列中的依赖模式发现算法研究
2 . research of mining relationship patterns in multiple time series an algorithm for discovery frequent patterns in multiple time series will be proposed 2)多时间序列间关联模式挖掘研究针对更有分析价值的多序列关联模式,进一步提出一种新颖的关联模式挖掘方法。
2 . research of mining relationship patterns in multiple time series an algorithm for discovery frequent patterns in multiple time series will be proposed 2)多时间序列间关联模式挖掘研究针对更有分析价值的多序列关联模式,进一步提出一种新颖的关联模式挖掘方法。
if the mining model contains multiple time series, choose the series to display in the chart by selecting the corresponding sets in the list to the right of the viewer 如果挖掘模型包含多个时序,则可通过选择查看器右侧列表中的相应集合来选择要在图表中显示的时序。
after that, we designed a new data model, called inter-related successive trees irst, to find frequent patterns from multiple time series without generation lots of candidate patterns 在挖掘算法实现上,根据序列特征模式的有序性和重复性,提出了一种无须生成大量的候选模式集的互关联后继树挖掘算法。