This paper proposes time series data mining strategy based on a rough set. It mainly discusses the acquisition of time-dependent and time-independent information from time series data. Practice proves that rough set theory, as an effective tool to deal with vagueness and uncertainty, is also effective to the time series data mining. Different information, such as information from original data, variation and variant ratio of data, is emphasized in the mining process of time series data.