Mining frequent patterns in transaction databases, time series databases, and many other kinds of databases has been studied popularly in data mining research.
挖掘事务数据库、时间序列数据库中的频繁模式已经成为数据挖掘中很受关注的研究方向。
Periodicity mining is the mining of periodic patterns, that is, the search for recurring patterns in time-series database.
周期模式主要是研究时序数据库中的循环特性，是时态数据挖掘的一个重要的研究方向。
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。
We also research the time series and series patterns mining, analysis tendencies and similarity of the time series, study the mining algorithms of the time series.
对时间序列的趋势性和相似性进行分析，研究了序列模式的挖掘算法等。
We also research the time series and series patterns mining, analysis tendencies and similarity of the time series, study the mining algorithms of the time series.
对时间序列的趋势性和相似性进行分析，研究了序列模式的挖掘算法等。
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