该文基于数据挖掘技术，提出了一种模糊数据挖掘方法。
The paper proposes a method of fuzzy data mining (FDM) based on data mining technology.
建立合适的隶属度函数是入侵检测中应用模糊数据挖掘所面临的一个难点。
Defining appropriate membership functions is a difficult task in fuzzy data mining to detect intrusions.
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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