计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (7): 131-133.DOI: 10.3778/j.issn.1002-8331.2010.07.039
• 数据库、信号与信息处理 • 上一篇 下一篇
唐少先
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TANG Shao-xian
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摘要： 基于粗糙集的数据挖掘，提出了通过统计方法降低边界元素的不确定性程度的方法。该方法依据边界元素的统计规律从属性约简所产生的最小覆盖中选择合适的覆盖形成规则，从而更充分地利用属性约简和数据仓库中的数据资源，提高基于粗糙集的数据挖掘的效果。
关键词: 粗糙集, 数据挖掘, 属性约简, 条件概率
Abstract: This paper is focused on studying rough set based data mining.A method based on statistics to reduce uncertain degree of border elements of the rough set is presented.According to statistics rules of the border elements，it selects appropriate minimum cover producing by related attribute reduction to form rules.So，it makes better use of the attribute reduction and data resource of data warehouse.
Key words: rough set, data mining, attribute reducte, condition probability
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TP18
唐少先. 数据挖掘中粗糙集边界的处理方法[J]. 计算机工程与应用, 2010, 46(7): 131-133.
TANG Shao-xian. Method to process border of rough set in data mining[J]. Computer Engineering and Applications, 2010, 46(7): 131-133.
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http://cea.ceaj.org/CN/Y2010/V46/I7/131
