DocumentCode :
389270
Title :
A study on spatial attribute data mining based on rough set
Author :
Li, Long-Shu ; Tang, Bin ; Ni, Zhi-wei ; Yang, Tao
Author_Institution :
Key Lab of IC&SP, Anhui Univ., Hefei, China
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
743
Abstract :
We introduce the concepts of a geographic information system, and study in detail spatial database and rough set theory. A set of algorithms of data reduction and data mining about attribute data in a spatial database is given. Finally, an example applying the theory to practice is presented, which verifies the feasibility of the algorithms.
Keywords :
data mining; data reduction; fuzzy set theory; geographic information systems; rough set theory; visual databases; data reduction; geographic information system; rough set theory; spatial attribute data mining; spatial database; Computer science; Data mining; Earth; Geographic Information Systems; Multidimensional systems; Object oriented databases; Relational databases; Spatial databases; Transaction databases; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1174477
Filename :
1174477
Link To Document :
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