空间数据挖掘研究综述

A Survey of Spatial Data Mining Research

信息化的发展使得更多的空间数据被使用,因此获取空间知识也就越来越重要和有意义,并使得空间数据挖掘成为一个很有前途的研究领域。本文系统概括了空间分类和预测、空间聚类、空间孤立点和空间关联规则4类空间数据挖掘方法及其进展,最后探讨了空间数据挖掘的未来发展方向。

More and more spatial data are used with the development of the information, therefore, obtaining the spatial knowledge becomes more and more important and meaningful, this makes spatial data mining become a promising research filed. In this paper, the proceedings of four methods used in spatial data mining, namely spatial classification and prediction, spatial clustering, spatial outlier, spatial association rules are systematically summarized. Finally, the future directions of spatial data mining are discussed.