【文件属性】：
文件名称：dataspace2010年 最新论文
文件大小：170KB
文件格式：PDF
更新时间：2014-03-24 07:01:52
dataspce
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