基于Rough Set的空间数据分类方法  

Spatial Data Classification Based on Rough Set

作　　者：石云[1] 263.net 孙玉芳[1] 左春[1] 

机构地区：[1]中国科学院软件研究所

出　　处：《软件学报》2000年第5期673-678,共6页Journal of Software

基　　金：国家863高科技项目基金!(No.863-306-ZD-07- 4)资助

摘　　要：近来 ,数据采掘的研究已从关系型和事务型数据库扩展到空间数据库 .空间数据采掘是一个很有发展前景的领域 ,其中空间数据分类的研究尚处在起步阶段 .该文分析和比较了现有的几个空间数据分类方法的利和弊 ,提出利用 Rough Set的三阶段空间分类过程 .实验结果表明 。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.

关 键 词：ROUGHSET 分类 数据采掘 空间数据 空间数据库 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]