A novel method to integrate spatial data mining and geographic information system

被引：0

作者：

Jin, XX ^{[1
]}

Cai, YK ^{[1
]}

Xie, KQ ^{[1
]}

Ma, XJ ^{[1
]}

Sun, YX ^{[1
]}

Cai, C ^{[1
]}

机构：

[1] Peking Univ, Natl Lab Machine Percept, Dept Intelligent Sci, Beijing 100871, Peoples R China

来源：

IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS | 2005年

关键词：

SPMML; spatial data mining; GIS; integration; PMML;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

GIS is it good spatial analysis tool, nevertheless, as the accumulation of spatial data, the functions that GIS offers are not enough. Spatial data mining, which can automatically discover implicit knowledge from spatial data, has recently received wide attentions. However, the spatial data mining. systems are not competent for preprocessing and presenting spatial data. Hence, the idea to integrate spatial data mining and GIS is straight forward. In this paper, we propose a novel method to integrate spatial data mining and GIS. This method is implemented with SPMML, an XML-based language that extended from PMML. We build a prototype system with this method and it works well.

引用

页码：764 / 767

页数：4

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