| 基于RoughSet的Web日志规则挖掘 |
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| 引用本文： | 史月美,胡国华.基于RoughSet的Web日志规则挖掘[J].电脑开发与应用,2009,22(9):18-19. |
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| 作者姓名： | 史月美 胡国华 |
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| 作者单位： | 忻州师范学院计算机科学与技术系,山西,忻州,034000 |
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| 基金项目： | 忻州师范学院自然科学基金资助项目 |
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| 摘 要： | Web日志挖掘是提高Web应用系统效率的有效手段。将Web日志通过预处理形成决策表，运用Roughset理论中的区分矩阵方法进行属性约简，从而获得简洁有效的关联规则，进行用户行为的预测研究。实验效果良好。
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| 关 键 词： | Web日志挖掘 区分矩阵 关联规则 |
Rule Mining from Web Log based on Rough Set |
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| Shi Yuemei et al.Rule Mining from Web Log based on Rough Set[J].Computer Development & Applications,2009,22(9):18-19. |
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| Authors: | Shi Yuemei |
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| Abstract: | Web log mining is an effective means of improving web-based system.A decision Table is obtained by web log pretreatment,and properties are reduced by discernibility matrix based on rough set theory,so that concise and effective association rules can be derived to predict user behavior.It turns to be well from experiment result. |
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| Keywords: | Web log mining discernibility matrix association rules |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
