Title :
A novel method to integrate spatial data mining and geographic information system
Author :
Xingxing, Jin ; Yingkun, Cai ; Kunqing, Xie ; Xiujun, Ma ; Yuxiang, Sun ; Cuo, Cai
Author_Institution :
Dept. of Intelligent Sci., Peking Univ., Beijing, China
Abstract :
GIS is a 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 attention. 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 straightforward. 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 is extended from PMML. We build a prototype system with this method and it works well.
Keywords :
data mining; geographic information systems; geophysical signal processing; geophysical techniques; spatial data structures; SPMML; XML-based language; geographic information system; implicit knowledge discovery; spatial analysis; spatial data mining; Association rules; Data mining; Geographic Information Systems; Information analysis; Laboratories; Machine intelligence; Markup languages; Predictive models; Prototypes; Sun;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
DOI :
10.1109/IGARSS.2005.1525219