提出一种新的基于符号化表示的时间序列频繁子序列的挖掘算法。

This paper proposes a new algorithm for mining frequent subsequence in time series based on symbolic representation.

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变量代表了一段可操作的内存，也可以认为变量是内存的符号化表示。

Variable represents a period of operational memory, the memory can also be that the variable is a symbol of that.

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在此基础上，对具体域中表达的空间拓扑关系进行符号化表示，用描述逻辑的形式表达空间关系。

On this basis, the thesis put forward the symbolic expressing of the topological relationships which are in the concrete domain and use description logic to express the spatial relationships.

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