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

fYear

2008

fDate

15-19 Dec. 2008

Firstpage

975

Lastpage

978

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDMW.2008.22

Filename

4734031