| 基于FLAAT模糊的WEB挖掘算法 |
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| 引用本文： | 吴瑞.基于FLAAT模糊的WEB挖掘算法[J].武汉科技大学学报(自然科学版),2005,28(3):270-272. |
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| 作者姓名： | 吴瑞 |
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| 作者单位： | 山西师范大学数学与计算机学院,山西,太原,041004 |
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| 摘 要： | 为了挖掘出较完全的兴趣模式，提出一种新的结构类型——FLAAT，它可发现那些被忽略的用户浏览偏爱路径。同时引进模糊集来处理停留在网页上的时间，以形成语义术语使挖掘出的用户浏览偏爱路径更自然、更易理解。实验表明，该算法能准确地反映用户的浏览兴趣，且系统的可扩展性较好。
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| 关 键 词： | WEB日志 WEB挖掘 用户浏览偏爱路径 模糊集 |
| 文章编号： | 1672-3090(2005)03-0270-03 |
| 收稿时间： | 2004-11-01 |
| 修稿时间： | 2004年11月1日 |
An Algorithm for Fuzzy Web Mining Based on FLAAT |
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| WU Rui.An Algorithm for Fuzzy Web Mining Based on FLAAT[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2005,28(3):270-272. |
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| Authors: | WU Rui |
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| Abstract: | Web logs contain a lot of user browsing information. How to mine user browsing interest patterns is an important research topic. In order to mine more completely browsing interest patterns, a new structure type -FLAAT is introduced in this paper, which can find those preferred browsing paths that may be neglected. Besides,browsing time on a web page is considered and processed using fuzzy set to form linguistic term to make the mined paths more natural and more understandable. Experiment shows that the algorithm is accurate and scalable. |
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| Keywords: | web log web mining user browsing preferred path fuzzy set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
