| 一种基于粗糙集和神经规则法的数据挖掘新方法 |
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| 引用本文： | 陆光义,冯仁剑,万江文. 一种基于粗糙集和神经规则法的数据挖掘新方法[J]. 计算机与现代化, 2005, 0(10): 30-32 |
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| 作者姓名： | 陆光义 冯仁剑 万江文 |
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| 作者单位： | 北京邮电大学,北京,100876 |
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| 摘 要： | 确立了结合粗糙集理论和神经规则法进行数据挖掘的方法.首先通过粗糙集对需要挖掘的数据进行预处理,实现属性的约简,然后应用神经规则法进行网络剪枝和规则提取.通过实例计算表明,在结果置信度降低不多的情况下,可以得到简单明确的关联规则,并有效地提高数据挖掘的效率.
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| 关 键 词： | 粗糙集 神经规则法 数据挖掘 属性约简 |
| 文章编号： | 1006-2475（2005）10-0030-03 |
| 收稿时间： | 2004-12-27 |
| 修稿时间： | 2004-12-27 |
A New Data Mining Method Based on Rough Set Theory and Neural Rules Method |
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| LU Guang-yi,FENG Ren-jian,WAN Jiang-wen. A New Data Mining Method Based on Rough Set Theory and Neural Rules Method[J]. Computer and Modernization, 2005, 0(10): 30-32 |
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| Authors: | LU Guang-yi FENG Ren-jian WAN Jiang-wen |
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| Affiliation: | Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | A new data mining method based on rough set theory and neural rules method is established. First, the data to be mined are treated by use of the rough set theory and the properties of the data set are reduced mainly. Then, the neural rules method is utilized to prune the network pruning and extract the rules. The calculation result for a practical data set shows that the simple and clear association rules could be acquired with less decrease of the result confidence. Meanwhile, the data mining efficiency can be improved simultaneously. |
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| Keywords: | rough set neural rules method data mining property reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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