Document Clustering in Personal Dataspace

摘要：

In Personal Dataspace (PDS), documents containing a lot of useful information play an important role in our daily work. However, it is difficult to manage the information in these documents efficiently. In this paper, we first extract some frequent terms from documents, and then cluster these documents based on the terms. Thus users can query the documents based on their contents conveniently. The experiments demonstrate the accuracy and efficiency of the key techniques in our approach.

关键词： dataspaces document clustering FP-tree

作者: Debao Liu Dan Yang Tiezheng Nie Yue Kou Derong Shen

作者单位: Department of Computer Science and Engineering Northeastern University, Shenyang, 110004 P.R.China

会议类型: 国际会议

会议名称: 2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)

会议地点: 呼和浩特

会议语种:英文

页码: 9-12

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）