DocumentCode :
540281
Title :
An adaptive police duty scheduling system based on machine learning
Author :
Chenyuan Kou ; Gen-Chen Liu, Gen-Chen Liu
fYear :
1996
fDate :
2-4 Oct. 1996
Firstpage :
212
Lastpage :
219
Abstract :
The research concerns police duty scheduling based on machine learning technology, instead of using manual arrangements. The aim is to have fair duty scheduling for police officers, and to make police projects more efficient. The system carries out police duty scheduling using database tools which we call “dbtools”. It is implemented by analyzing and proposing five working tables from modern police duty scheduling in Taiwan. We carried out analysis on practical police work and port machine learning methodologies onto our system. This results in a more human-oriented and user friendly system. Our system pioneers police duty research on scheduling. We hope that it results in better police management
Keywords :
adaptive systems; law administration; learning (artificial intelligence); police data processing; scheduling; Taiwan; adaptive police duty scheduling system; database tools; machine learning; police management; police officers; user friendly system; working tables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 1996. 30th Annual 1996 International Carnahan Conference
Conference_Location :
Lexington, Kentucky, USA
Print_ISBN :
0-7803-3537-6
Type :
conf
DOI :
10.1109/CCST.1996.551866
Filename :
5727006
Link To Document :
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