An Initial Exploration on Intelligent Contents to Social Network Research Via Fuzzy Based Data Mining

This paper focuses on recording how much a user is interested in the contents displayed on the web page with Fuzzy theory detection and finding out their relationship, as well as the rule of categorizing, via Data Mining technology, websites on-line into related communities. Then, proper adaptations of the web contents will be made in accordance with the most suitable positions of advertisements not only to meet the needs of the most majority of users but make the best benefit of advertisements.