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| 基于粗糙集理论的WEB日志中关联规则提取 | |
| 引用本文： | 郭森,王知衍,张志立,严和平. 基于粗糙集理论的WEB日志中关联规则提取[J]. 小型微型计算机系统, 2006, 27(10): 1900-1903 |
| 作者姓名： | 郭森 王知衍 张志立 严和平 |
| 作者单位： | 华南理工大学,计算机科学与工程学院,广东,广州,510640 |
| 摘 要： | 随着互联网的飞速发展，WEB日志挖掘，也就是从WEB日志中发现和分析出用户的有用信息已成为研究热点．基于关联规则的方法是WEB挖掘的重要方法．本文应用粗糙集理论提取WEB日志中的关联规则，并将关联规则集用于用户行为的预测上，实验证明，该方法的预测精度要好于现有的方法． |
| 关 键 词： | WEB日志 WEB挖掘 粗糙集 关联规则 |
| 文章编号： | 1000-1220（2006）10-1900-04 |
| 收稿时间： | 2005-07-15 |
| 修稿时间： | 2005-07-15 |
Association Rule Retrieved from Web Log Based on Variable Precision Rough Set Theory |
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| GUO sen,WANG Zhi-yan,ZHANG Zi-li,YAN He-ping. Association Rule Retrieved from Web Log Based on Variable Precision Rough Set Theory[J]. Mini-micro Systems, 2006, 27(10): 1900-1903 | |
| Authors: | GUO sen WANG Zhi-yan ZHANG Zi-li YAN He-ping |
| Affiliation: | South China University of Technology, Guangzhou 510640, China |
| Abstract: | Recently, with the development of Internet, data mining in we5 log has been a hot spot of research work. Many data mining methods based on association rule have been proposed, in this paper, a novel association rule prediction model based on variable precision rough set theory is advanced, and the result of experiment has shown that it is superior to existing methods. |
| Keywords: | data mining web log rough set association rules |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |