Research of a Mining Algorithm Based on Markov Chain on WEB Page Access Sequence Features

摘要

Web access to sequence data mining to help improve the quality of Web access, the sequence is a difficult problem in data mining, the prevalence of classic sequential algorithm and storage space overhead is too large defects. Web access sequence mining algorithm based on Markov chain can be found through less computation requests a web page. And for the design of the site, and achieved good results. Recognize that the most likely path through the site through the Web click-stream in order to predict the users will want to browse web pages, and accordingly to improve the design and construction of the site. Less computation to find the requested page, optimization of the hyperlink structure of the Web site.