| 电子商务站点中的频繁查找路径挖掘技术 |
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| 引用本文： | 边小勇,张晓龙.电子商务站点中的频繁查找路径挖掘技术[J].武汉科技大学学报(自然科学版),2006,29(4):388-390. |
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| 作者姓名： | 边小勇 张晓龙 |
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| 作者单位： | 武汉科技大学计算机科学与技术学院,湖北,武汉,430081 |
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| 摘 要： | Web上用户行为的挖掘是Web日志挖掘的重要内容，挖掘到的查找路径能够提供决策支持。分析频繁项集挖掘和路径挖掘的不同之处，提出了类Apriori算法，使之适用于路径挖掘，然后在VC＋＋中针对预处理过的日志数据进行实验分析，获得了一些可信度高的关联页面，这些页面关联信息将有助于改进商业站点结构，提高站点的访问率。
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| 关 键 词： | Web挖掘 查找路径 类Apriori |
| 文章编号： | 1672-3090(2006)04-0388-03 |
| 收稿时间： | 2005-12-09 |
| 修稿时间： | 2005年12月9日 |
Mining Technique for Frequently Accessed Paths to E-Commerce Site |
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| BIAN Xiao-yong,ZHANG Xiao-long.Mining Technique for Frequently Accessed Paths to E-Commerce Site[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(4):388-390. |
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| Authors: | BIAN Xiao-yong ZHANG Xiao-long |
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| Institution: | College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | Mining users' behavior on Web is extremely important in the Web usage mining,and mined accessed path can provide support for decision-making.In this paper,the difference between frequent itemset-mining and path-mining on Web is first analyzed,and a revised algorithm based on Apriori is proposed for path mining.The algorithm on a bulk of preprocessed web log data is then tested with the VC++ tool,and some related Web pages of high-confidence are obtained,which help improve website structure and attract more visits. |
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| Keywords: | Web mining accessed path similar Apriori |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
