Research of BBS Based on Tezt Mining Techniques
BBS, which is constructed in internet for providing public information to people, is one type of electric information system and social network. It also has the functions of sending message, email service etc. In this paper, we focus on the relations among users, boards and posts, especially by analyzing and mining history data. We have downloaded great deals of data from one forum, named New SMTH, and then created efficient database and dataset for further research. We have accomplished the identical topic mining and association of boards based on the data handled. After a series analysis and mining, several associations among boards, which provided well foundation for the further research, are discovered.
BBS, Board Apriori Algorithm Identical Topic Boards Association
Weijie Wu Weitong Huang Shiqiang Yang Luxiong Xu
Department of Computer Science Tsinghua University Beijing, China Department of Computer Science Fuqing Branch of Fujian Normal University Fujian, China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
595-598
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）