Exploring Adaptive Web Sites: Using Data Mining Approach to Construct an Adaptive Web Site

• Main Authors: Tung ,Wei-Feng, 董惟鳳
• Other Authors: Weng , Sung-shun
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/32405390593609761911

碩士 === 輔仁大學 === 資訊管理學系 === 88 === WWW (World Wide Webs) have become the most important and essential media which exchange information on the Internet. Information provided by websites are a huge knowledge database for users. Most of the website masters are eager to provide convenient and friendly web sites to users as well as to know the usage of websites. Typical website usage analyzing tools provide only general statistical analyzing results such as distribution of log time, classification of users’ domains. Such analyzing results are not enough for most website masters to realize website usage. To generate more detailed and exact results to realize user access patterns, this thesis proposes several data mining technologies, including path traversal pattern mining and clustering mining, to analyze users’ log records. From the analyzing results, website masters will be able to construct adaptive web sites with integrated, friendly interfaces for all users. It will be easier for users to browse websites to get information they demand. Webmasters will also feel easier to arrange the contents and structures of websites. Furthermore, the results of this thesis can be applied to the fields of internet marketing to improve the marketing process.