DocumentCode
1642953
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
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
767
Lastpage
772
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/FUZZ.2002.1005090
Filename
1005090
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