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基于web挖掘的自适应网站研究,基于web挖掘的自适应网站研究页数 43字数 25332 摘要:web使用挖掘就是从服务器日志文件和客户交易数据中挖掘有意义的用户访问模式和潜在的客户群,使企业能够提供个性化信息服务和开展有针对性的电子商务活动。随着越来越多的业务在互联网上开展,用户使用web的规律成了各企业共同关注的一大热点。因此,采用web挖掘智能...
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基于Web挖掘的自适应网站研究
页数 43 字数 25332
摘要:Web使用挖掘就是从服务器日志文件和客户交易数据中挖掘有意义的用户访问模式和潜在的客户群,使企业能够提供个性化信息服务和开展有针对性的电子商务活动。随着越来越多的业务在互联网上开展,用户使用Web的规律成了各企业共同关注的一大热点。因此,采用Web挖掘智能地、自动地提取出有价值的知识,构建自适应网站,提高WWW的效率,具有十分重要的现实意义和广阔的应用前景。
基于国内外最新研究成果,论述了Web使用挖掘的内容、特点和挖掘过程。定义了自适应网站,提出了基于Web挖掘实现自适应网站的一种方案:在已存在的站点上进行用户访问模式挖掘,预测用户感兴趣的页面,并以增加链接的方式把指向这些页面的链接推荐给用户,动态地改变网站结构。给出了系统体系结构,阐述了系统实现的目标、设计所遵循的原则和源数据的收集等主要问题
描述了系统挖掘用户访问模式的过程和算法。提出了一种预处理功能模型,采用基于cookie技术和扩充日志属性的用户识别方法,有效地识别通过同一代理服务器访问网站的不同用户。采用了一种扩展性良好、高效多能的聚类分析算法对用户访问模式进行挖掘,即直接对网站的拓扑结构和用户浏览信息进行处理的关联矩阵方法,避免了复杂的会话识别和事务识别。
提出了自适应网站进行自动页面调整的方法,根据挖掘推荐结果,通过在网页中嵌入ASP代码的方式,用程序实现自动在页面中增加动态链接,对不同用户展现不同的网站视图,并给出了源程序。对系统进行了实际运行测试,得到了可行性验证。
关键词 :Web使用挖掘,电子商务,自适应
Abstract
It is important for the modern enterprises to have the ability of discovering useful user access pattern and corresponding potential customers from large volume of use access logs, so that they can provide personal information service and make
their electronic commerce strategies. With more and more business spread in Internet, enterprise consentrate on the principle of access pattern. It become practical significance and a vastitude foreground to abstract useful knowledge, construct adaptive web site,improve efficiency of WWW with web mining intellectively and automatically
Based on the latest researched results, this paper discuss the content , characteristics and processes of web usage mining. In this paper we define adaptive web sites, puts forward the scheme of it based on web usage mining .Mining the user access pattern on the exist web station, forecast web page interested by user, recommand them to user through adding hyperlink of them. so as to change the constrature of the web site. We expatiate such primary question as the goal , rules to design adaptive web site and collection of sourse of data for mining.
we describe the algorithm and processes of user access pattern , and presents a data preprocessing model. In the process of preprocessing,a user identification method based on cookie technology and extending Web Log attributes are adopted. the method can distinguish effectively the multiple users using the same one proxy server .
Key words web mining; electronic commerce; adaptive web sites
参考文献
1 Fayyad U, Piatesky Shapiro G, Smyth P. The KDD Process for Extracting Useful Knowledge Form Volumes of Data[J]. Communication of the ACM, 1996,39(11):27~35
2 史忠植. 知识发现. 北京:清华大学出版社,2002,1:2~4
3 Fayyad U. Mining Databases:Towards Algorithm for Konwledge Discovery[J]. IEEE Bulletin of the Technical Committee on Data Engineering . 1998,21(1):39~48
4 Han J, Nishio Kawano H,Wang W. Generalization-Based Data Mining in Object-Oriented Databases Using an Object-Cube Model.Data and Knowledge Engineering,1998,25(1-2):55~97
5 钟晓,马少平等. 数据挖掘综述[J],模式识别与人工智能, 2001,14(3): 48~54
页数 43 字数 25332
摘要:Web使用挖掘就是从服务器日志文件和客户交易数据中挖掘有意义的用户访问模式和潜在的客户群,使企业能够提供个性化信息服务和开展有针对性的电子商务活动。随着越来越多的业务在互联网上开展,用户使用Web的规律成了各企业共同关注的一大热点。因此,采用Web挖掘智能地、自动地提取出有价值的知识,构建自适应网站,提高WWW的效率,具有十分重要的现实意义和广阔的应用前景。
基于国内外最新研究成果,论述了Web使用挖掘的内容、特点和挖掘过程。定义了自适应网站,提出了基于Web挖掘实现自适应网站的一种方案:在已存在的站点上进行用户访问模式挖掘,预测用户感兴趣的页面,并以增加链接的方式把指向这些页面的链接推荐给用户,动态地改变网站结构。给出了系统体系结构,阐述了系统实现的目标、设计所遵循的原则和源数据的收集等主要问题
描述了系统挖掘用户访问模式的过程和算法。提出了一种预处理功能模型,采用基于cookie技术和扩充日志属性的用户识别方法,有效地识别通过同一代理服务器访问网站的不同用户。采用了一种扩展性良好、高效多能的聚类分析算法对用户访问模式进行挖掘,即直接对网站的拓扑结构和用户浏览信息进行处理的关联矩阵方法,避免了复杂的会话识别和事务识别。
提出了自适应网站进行自动页面调整的方法,根据挖掘推荐结果,通过在网页中嵌入ASP代码的方式,用程序实现自动在页面中增加动态链接,对不同用户展现不同的网站视图,并给出了源程序。对系统进行了实际运行测试,得到了可行性验证。
关键词 :Web使用挖掘,电子商务,自适应
Abstract
It is important for the modern enterprises to have the ability of discovering useful user access pattern and corresponding potential customers from large volume of use access logs, so that they can provide personal information service and make
their electronic commerce strategies. With more and more business spread in Internet, enterprise consentrate on the principle of access pattern. It become practical significance and a vastitude foreground to abstract useful knowledge, construct adaptive web site,improve efficiency of WWW with web mining intellectively and automatically
Based on the latest researched results, this paper discuss the content , characteristics and processes of web usage mining. In this paper we define adaptive web sites, puts forward the scheme of it based on web usage mining .Mining the user access pattern on the exist web station, forecast web page interested by user, recommand them to user through adding hyperlink of them. so as to change the constrature of the web site. We expatiate such primary question as the goal , rules to design adaptive web site and collection of sourse of data for mining.
we describe the algorithm and processes of user access pattern , and presents a data preprocessing model. In the process of preprocessing,a user identification method based on cookie technology and extending Web Log attributes are adopted. the method can distinguish effectively the multiple users using the same one proxy server .
Key words web mining; electronic commerce; adaptive web sites
参考文献
1 Fayyad U, Piatesky Shapiro G, Smyth P. The KDD Process for Extracting Useful Knowledge Form Volumes of Data[J]. Communication of the ACM, 1996,39(11):27~35
2 史忠植. 知识发现. 北京:清华大学出版社,2002,1:2~4
3 Fayyad U. Mining Databases:Towards Algorithm for Konwledge Discovery[J]. IEEE Bulletin of the Technical Committee on Data Engineering . 1998,21(1):39~48
4 Han J, Nishio Kawano H,Wang W. Generalization-Based Data Mining in Object-Oriented Databases Using an Object-Cube Model.Data and Knowledge Engineering,1998,25(1-2):55~97
5 钟晓,马少平等. 数据挖掘综述[J],模式识别与人工智能, 2001,14(3): 48~54