机是一种新的计算力学理论，它能从时间序列中发掘系统的隐含模式。
Epsilon machine, a new computational mechanics, can discover hidden pattern from the response time series.
提出一种多尺度的时间序列相似模式匹配算法。
This paper proposed a multi scale similar pattern match approach for Times Series Databases.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
By clustering of traffic flow time series, the typical traffic fluctuation patterns can be found.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
By clustering of traffic flow time series, the typical traffic fluctuation patterns can be found.
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