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
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