Milling Fuzzy Brsowing Patterns From Web Log
Web applications have made a significant impact on computer system.Among them mining useful information from web logs is is important and challenging research topics. In this paper, the time durations of the paged browsed, are computed from web logs. Since the time durations are numeric, fuzzy concepts are used here to process them and to form linguistic terms. Besides different pages in web sites may have different interest to users, and some factors (i.e. the design of web pages) may affect users browsing interest. So interest measures of web pages are evaluated by managers according to the judgment factors, and comprehensive fuzzy evaluation methods are used to evaluate the interest measure of each page. Then a new fuzzy web-mining algorithm is proposed, which can process to mine fuzzy browsing interest patterns with linguistic variables from web logs effectively. An example is given to clearly illustrate the proposed approach.
Web log mining fuzzy set linguistic term interest measure browsing patterns fuzzy comprehensive evaluation
Xiong Zhuang Liu HuiJun
college of computer science chongqing university chongqing 400044 china
国际会议
重庆
英文
1680-1683
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）