Research on User Access Sequence Mining Based on the Duration Time of Web Page

Abstract

By analysis of web user access sequence, we can find the factors of user's hobbies, interests, habits etc. and provide the necessary support of information for the upgrade and amendment of web sites. This article proposed a method of data mining MFASMDT (Maximal Frequent Access Sequence Mining of Duration Time). It can reduce the number of web pages of the session sequence and compress the size of frequent traversal sequence by taking the duration time of web page as a parameter. The experiment showed that the new algorithms can reduce the cost of mining and provide a useful reference for mining of web users’s commercial data.