%0 Journal Article
%T Spatial Data Classification Based on Rough Set<br>基于Rough Set的空间数据分类方法
%A SHI Yun
%A SUN Yu-fang
%A ZUO Chun
%A <br>石云
%A 孙玉芳
%A 左春
%J 软件学报
%D 2000
%I 
%X Recent studies have extended the scope of data mining from relational and transactional databases to spatial databases. Spatial data mining is a promising field, where the research work on spatial data classification is still in its initial stage. In this paper, the advantages and the disadvantages of several existing methods of spatial data classification are compared first. Then an effective three-step method, which is based on the rough set theory for spatial data classification, is proposed. The validity of this algorithm to the problem of incomplete spatial information is verified by pertinent experimental results.
%K Rough set
%K classification
%K data mining
%K spatial data
%K reduction<br>Rough
%K Set
%K 分类
%K 数据采掘
%K 空间数据
%K 约简.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=8DC28DE8D771EC17&yid=9806D0D4EAA9BED3&vid=708DD6B15D2464E8&iid=94C357A881DFC066&sid=B28C697BC3A1BA62&eid=DA280A426E11FC95&journal_id=1000-9825&journal_name=软件学报&referenced_num=18&reference_num=16