Title :
A rough set foundation for spatial data mining involving vague regions
Author :
Beaubouef, Theresa ; Petry, Frederick E.
Author_Institution :
Comput. Sci. Dept., Southeastern Louisiana Univ., Hammond, LA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
The RCC and egg-yolk methods have proven useful for representation of vague regions in spatial data. Here we model them using rough set theory. This then develops the basis to allow a rough set approach to uncertainty in spatial relationships for association rules and other forms of spatial data mining
Keywords :
data mining; rough set theory; visual databases; RCC method; association rules; egg-yolk method; rough sets; spatial data mining; spatial relationships; vague region representation; Association rules; Data mining; Geographic Information Systems; Management information systems; Relational databases; Rough sets; Set theory; Spatial databases; Topology; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1005090
