| 网络用法挖掘及其应用 |
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| 引用本文： | 张海强,张永. 网络用法挖掘及其应用[J]. 兰州理工大学学报, 2004, 30(5): 96-100 |
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| 作者姓名： | 张海强 张永 |
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| 作者单位： | 兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050;扬州大学,信息工程学院,江苏,扬州,225009;兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050 |
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| 基金项目： | 甘肃省自然科学基金(ZS022 A25 035) |
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| 摘 要： | 介绍了数据挖掘、网络挖掘和网络用法挖掘技术的理论发展及其它们在实际中的应用情况,并在挖掘算法的改善提高过程中进行了探索性的研究.为了有效地帮助Web站点管理员管理Web站点,帮助商家调整整个市场策略,提出了一种在给定的Web日志中利用事务数据库中的挖掘序列模式的方法来发现所有的大访问路径的算法.结果证明该算法是行之有效的.
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| 关 键 词： | 数据挖掘 知识发现 Web数据挖掘 聚类 关联性分析 大访问路径 |
| 文章编号： | 1000-5889(2004)05-0096-05 |
Web usage mining and its application |
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| ZHANG Hai-qiang. Web usage mining and its application[J]. Journal of Lanzhou University of Technology, 2004, 30(5): 96-100 |
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| Authors: | ZHANG Hai-qiang |
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| Affiliation: | ZHANG Hai-qiang~ |
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| Abstract: | Theoretical progress of the mining technique such as data mining,web mining,and web usage mining as well as their practical application are introduced,and an exploratory investigation of mining algorithm improvement is also conducted.In order to efficiently help the managers of Web-sites manage the sites and aid the businessmen with a controlling strategy over whole markets,an algorithm for finding all major access pathes is presented,where the method of mining serial pattern in transaction database in a given web log is employed.It is verified that this method is successfully functional. |
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| Keywords: | data mining knowledge discovery web data mining clustering association analysis major access path |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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