Title :
GeoDMA - A Novel System for Spatial Data Mining
Author :
Korting, Thales Sehn ; Fonseca, Leila Maria Garcia ; Escada, Maria Isabel Sobral ; Silva, Felipe Castro da ; Silva, Marcelino Pereira dos Santos
Author_Institution :
Felipe Castro da Silva Image Process. Div., Nat. Inst. for Space Res. - INPE, Sao Jose dos Campos
Abstract :
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed. In this context, the present paper aims to show a new system for spatial data mining, and two test cases applied to land use change in the Brazilian Amazon region. We present the operational environment named GeoDMA, developed to implement such approach.
Keywords :
data mining; geographic information systems; visual databases; Brazilian Amazon region; Earth observation satellites; GeoDMA; data manipulation techniques; information extraction; spatial data mining; Clustering methods; Data mining; Image databases; Image segmentation; Proposals; Prototypes; Remote sensing; Satellites; Shape; Spatial databases; Decision Trees; Remote Sensing; Self Organizing Maps; Spatial Data Mining;
Conference_Titel :
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3503-6
Electronic_ISBN :
978-0-7695-3503-6
DOI :
10.1109/ICDMW.2008.22
