| 基于Rough集的数据库信息挖掘加权决策算法 |
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| 引用本文： | 巩建闽,王国胜,萧蓓蕾. 基于Rough集的数据库信息挖掘加权决策算法[J]. 计算机工程与应用, 2003, 39(32): 198-200 |
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| 作者姓名： | 巩建闽 王国胜 萧蓓蕾 |
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| 作者单位： | 德州学院计算机系,德州,253023 |
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| 基金项目： | 山东省中青年学术骨干基金资助，德州学院科研计划基金资助(编号:02018) |
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| 摘 要： | 利用Rough集方法进行数据库中信息挖掘时,因为相同的记录表示的是同样的决策信息,可以将它消去,但由此得到的决策规则可能是片面的。文章提出了一种带有权重的决策算法,该方法利用记录出现的频率作为权重系数,导出了带有全重的决策算法,该方法计算简便、实用,可提高最终决策算法的可靠性。
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| 关 键 词： | Rough集 权重系数 决策算法 |
| 文章编号： | 1002-8331-(2003)32-0198-03 |
| 修稿时间： | 2002-12-01 |
Rough Set-based Weighted Decision Algorithm for Database Information Mining |
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| Gong Jianmin Wang Guosheng Xiao Beilei. Rough Set-based Weighted Decision Algorithm for Database Information Mining[J]. Computer Engineering and Applications, 2003, 39(32): 198-200 |
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| Authors: | Gong Jianmin Wang Guosheng Xiao Beilei |
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| Abstract: | When mining database for information by rough set method,since the same records make same contribution to decision,generally only one of them remains while others can be cancelled out ,which in a sense causes the loss of information,and the resulting decision rules may be one-sided.In this paper a weighted decision algorithm is present ,which makes use of frequency of the record as weight.This algorithm is computationally simple and efficiently enhances the decision reliability. |
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| Keywords: | Rough Set Weighted Decision algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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