| 基于关联规则的Web日志个性化挖掘 |
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| 引用本文： | 李桂春.基于关联规则的Web日志个性化挖掘[J].太原师范学院学报(自然科学版),2008,7(2):118-120. |
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| 作者姓名： | 李桂春 |
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| 作者单位： | 无锡商业职业技术学院信息工程系,江苏,无锡,214153 |
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| 摘 要： | Web作为目前Internet的主要信息发布渠道,已经显示出巨大的商业价值和应用潜力,因此分析和掌握用户在访问Web站点时的行为成为Web站点管理员十分关心的问题.文章阐述了利用用户浏览网页的方法,通过挖掘Web服务器中的日志文件（Weblog）,探寻用户访问的热门路径,来帮助管理员改善站点的设计和企业改进市场商务决策.
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| 关 键 词： | Web挖掘 序列模式 频繁访问路径 |
Customized Weblog-mining Based on Rules of Association |
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| Li Guichun.Customized Weblog-mining Based on Rules of Association[J].Journal of Taiyuan Normal University:Natural Science Edition,2008,7(2):118-120. |
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| Authors: | Li Guichun |
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| Institution: | Li Guichun (Department of Information Engineering ,Wuxi Institute of Commerce ,Wuxi 214153 ,China) |
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| Abstract: | As the major channel for information distribution, the Web has demonstrated enormous economic value and potential applicability. Analyzing and knowing the web users＇ browsing patterns is a major concern for Web administrators. The paper has discussed the Weblog mining strategies as a means to explore the frequent traversal paths in the users＇ Web browsing pattern so as to help Web administrators to improve the Web design and help companies improve their web-related business decisions. |
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| Keywords: | Web mining sequential pattern frequent traversal paths |
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