| 面向大型数据表的粗分析方法 |
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| 引用本文： | 马昕,孙优贤.面向大型数据表的粗分析方法[J].计算机工程与应用,2003,39(16):198-200. |
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| 作者姓名： | 马昕 孙优贤 |
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| 作者单位： | 浙江大学工业控制技术国家重点实验室,杭州,310027 |
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| 摘 要： | 该文运用粗糙集理论,提出一种提取大型数据表中决策规则的方法。首先根据条件属性及属性值的权重将数据表分解成多个子表,再利用粗分析方法分别对各子表简约,综合每个子表归纳出的具有一定置信度的子规则形成规则集,做出推理和决策。
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| 关 键 词： | 大型数据表 粗糙集 规则挖掘 |
| 文章编号： | 1002-8331-(2003)16-0198-03 |
| 修稿时间： | 2002年6月1日 |
Mining of Rough Set Theory for Large Data Table |
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| Ma,Xin Sun Youxian.Mining of Rough Set Theory for Large Data Table[J].Computer Engineering and Applications,2003,39(16):198-200. |
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| Authors: | Ma Xin Sun Youxian |
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| Abstract: | A method of extracting rules using rough set theory is presented to improve the solution in reasoning and decision problems when the data table is large and complex.This approach is based on the decomposition of large data table into sub-tables according to the weights of conditional attributes and attribute values in such way that the rough set theory can reduce sub-tables.It can synthesis sub-rules owning some reliability deduced by sub-tables for reasoning and decision-making. |
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| Keywords: | Large data table Rough set Rule mining |
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