DocumentCode :
1854061
Title :
Development of an artificial intelligence system for detection and visualization of auto theft recovery patterns
Author :
Kursun, Olcay ; Reynolds, Kenneth ; Eaglin, Ronald ; Chen, Bing ; Georgiopoulos, Michael
Author_Institution :
Dept. of Eng. Technol., Central Florida Univ., Orlando, FL
fYear :
2005
fDate :
March 31 2005-April 1 2005
Firstpage :
25
Lastpage :
29
Abstract :
Auto theft is the most expensive property crime that is on the rise across the nation. The prediction of auto drop-off locations can increase the probability of offender apprehension. For successful prediction, first the patterns of thefts are identified. Then, a prototype expert system successfully identified embedded drop-off location clusters that were previously unknown to investigators. The system was developed using the expert knowledge of auto theft investigators along with spatial and temporal auto theft event data. Drop-off clusters were identified and validated. A map interface allows the user to visualize the feature clusters and produce detailed reports. Such GIS applications give us the ability to attain a geographical perspective of incidents within the community, thus help law enforcement officers discover the patterns of incidents and take necessary measures to prevent them
Keywords :
artificial intelligence; data visualisation; expert systems; geographic information systems; pattern recognition; police data processing; public administration; GIS; artificial intelligence system; auto drop-off clusters; auto drop-off location prediction; auto theft recovery pattern detection; auto theft recovery pattern visualization; crime mapping; expert system; hot-spot analysis; law enforcement; pattern discovery; property crime; Artificial intelligence; Data visualization; Expert systems; Geographic Information Systems; Law enforcement; Legal factors; Pattern analysis; Prototypes; Statistics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2005. CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9176-4
Type :
conf
DOI :
10.1109/CIHSPS.2005.1500605
Filename :
1500605
Link To Document :
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