Web Personalizing Service Research Based On Data Mining

WEB personalizing servosystem based on data mining that can support information-collecting, information-analysing or personalizing homepage service for website manager and visitor, is a background service software applying to website system. It features intelligence, security, expansibility and so on, and can be widely used for commercial or other purpose's website system.This thesis introduces the background about this system and solving path at first; then emphasises to describe ideas and implementation of clustering-algorithm; furthermore expands on the characteristics and flows of each module; analyses how to establish security policies; finally summary full text, and suggest further works, otherwise, it also make point of personalizing hyperlinks and personalizing search-engines based on WEB data mining, making personalizing application more integrate.