The Studies On Web Using Schema Mining Based On Fuzzy Clustering

With the development of the Internet, people get in touch with data and information with Web. Real time and deep-seated analysis the competition of the modern society trend request is carried out on these information, since but complicacy that Web face page, moreover the people who is to there be no structure's , dynamic , leads to is difficult to find the what be needed data and information prompt , convenient on Web. Resolve a approach of these problems is that the technology and Web the tradition data is excavated combine, to be carrying out Web Mining.Web Using schema minig is a branch of Web Mining.The research on the Web Usage Mining mostly concentrated on the user access pattern which statistic clustering techniques are often used to analyse user' preference on pages. However this approach can only sort each user session into a single cluster. That is, it ignores a user session may contain several browsing preference by assuming a user session include only a single preference. According to this insuficiency fuzzy clustering techniques were proposed in this paper. At the same time, those methods can only use distance of pages to caculate the similarity between sessions. Therefor, if users browse the same web page by diferent paths, that causes wrong results.