DocumentCode :
2024130
Title :
The research of the police GIS spatial data classification technology based on rough set
Author :
Wang, Zhiliang ; Meng, Wenbo ; Gu, Xuejing ; Ye, Jianping ; Nagai, Masaeake ; Cui, Guowei
Author_Institution :
Inf. Eng. Sch., UST Beijing, China
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
432
Abstract :
In this paper, the methods of spatial data classification which is based on the rough sets theory are studied. Using rough set methods one can simplify enormous irregular geographic information system (GIS) data. By using the trial data of cars, we can easily find out the places where cars often give an alarm or traffic jams often happen. With these information, the police can learn where criminals often appear or accidents often happen. It is thus useful for them to concentrate their force.
Keywords :
data mining; geographic information systems; pattern classification; police data processing; rough set theory; GIS data; data mining; geographic information system; police; rough set theory; spatial data classification; Accidents; Automation; Computational Intelligence Society; Data engineering; Data mining; Geographic Information Systems; Intelligent control; Rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
Type :
conf
DOI :
10.1109/WCICA.2002.1022145
Filename :
1022145
Link To Document :
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