%0 Journal Article
%T Development of a Text Mining System Based on the Co-occurrence of Bibliographic Items in Literature Databases<br>文献数据库中书目信息共现挖掘系统的开发
%A Cui Lei
%A Liu Wei
%A Yan Lei
%A Zhang Han
%A Hou Yuefang
%A Huang Yingna
%A Zhang Hao
%A <br>崔雷
%A 刘伟
%A 闫雷
%A 张晗
%A 侯跃芳
%A 黄莹娜
%A 张浩
%J 现代图书情报技术
%D 2008
%I 
%X This paper presents a text mining system based on the co-occurrence of bibliographic items in literature databases.This system produces the principal bibliometric indicators of a given document set oriented to PubMed and Web of Science,and some of results are presented by visualization techniques.Further more,it provides cluster analysis and association analysis by investigating the co-occurrence data of high-frequent MeSH terms,high-productive authors,highly-cited papers and highly-cited authors.Using these approaches users can mining the potential association rules among MeSH terms,and engage scientometric investigations.
%K Text mining Co-occurrence Bibliographic system Scientometrics<br>文本挖掘
%K 共现分析
%K 书目信息
%K 科学计量学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=18701DE8AE42A843846369491937ACEC&yid=67289AFF6305E306&vid=38B194292C032A66&iid=5D311CA918CA9A03&sid=09ABD5535D9B6D45&eid=80A07035DF96B0C4&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=2&reference_num=1