The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
This paper gives an algorithm for mining association patterns between two different time series, and describes the construction of a mining system.
提出了一种针对不同时间序列间关联模式的发现方法，并阐述了以该方法为基础而构建的关联模式挖掘系统的结构。
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.
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。
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