时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
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。
Mining frequent patterns in transaction databases, time series databases, and many other kinds of databases has been studied popularly in data mining research.
该问题可描述为给定某个的时间序列，要求从一个大型时间序列数据库中找出与之最相似的序列。
The problem can be described as: searching the sequence most similar to a given time series from a large time series database.
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