时间序列数据集伴随着一个时间上的排序。

Time series data set comes with a temporal ordering.

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粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。

Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.

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另外，本文用模糊集理论对时间序列数据挖掘过程中的不确定性进行了处理，提出了一种模糊时序数据挖掘的框架。

Moreover, fuzzy sets theory is adopted in the dissertation to deal with the uncertainty of the mining process and a new fuzzy frame of TSDM is given then.

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