Title :
Fuzzy spatial data mining
Author :
Smith, George Brannon ; Bridges, Susan M.
Author_Institution :
Dept. of Comput. Sci., Mississippi State Univ., MS, USA
Abstract :
A fuzzy spatial data mining technique has been developed to extract relationships describing relative position of classes of objects from raster images. Several different rule forms are described which represent different types of directional relationships between classes of objects. The method has been tested with hand-generated, synthetic, and sonar imagery.
Keywords :
data mining; fuzzy logic; visual databases; directional relationships; fuzzy spatial data mining; raster images; sonar imagery; synthetic imagery; Association rules; Bridges; Computer science; Data mining; Electronic mail; Fuzzy logic; Image databases; Sonar; Spatial databases; Transaction databases;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018052
