Rough set, with its ability in dealing with uncertainty and vagueness, is widely applied in the study of data mining.
粗糙集理论以其出色的处理模糊和不确定知识的能力，成为数据挖掘研究中的有力工具。
Based on above analysis, this paper integrates the study of data mining and financial time series.
基于上述原因，本文将数据挖掘和金融时间序列结合在一起进行研究。
With the deep study of data mining technology, it becomes maturing, and is widely used in various areas.
随着人们研究的深入，数据挖掘技术已经日益成熟，并广泛应用于各行各业。
Mining association rules is an important aspect of the study of data mining, and one of the important problems is the evaluation of interestingness of the discovered rules.
关联规则挖掘是数据挖掘研究中的一个重要方面，而其中一个重要问题是对挖掘出的规则的兴趣度的评估。
Mining association rules is an important aspect of the study of data mining, and one of the important problems is the evaluation of interestingness of the discovered rules.
关联规则挖掘是数据挖掘研究中的一个重要方面，而其中一个重要问题是对挖掘出的规则的兴趣度的评估。
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