Improving law enforcement daily deployment through machine learning-informed optimization under uncertainty
Urban law enforcement agencies are under great pressure to respond to emergency incidents effectively while operating within restricted budgets. Minutes saved on emergency response times can save lives and catch criminals, and a responsive police force can deter crime and bring peace of mind to citi...
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Main Authors: | CHASE, Jonathan David, NGUYEN, Duc Thien, SUN, Haiyang, LAU, Hoong Chuin |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4682 https://ink.library.smu.edu.sg/context/sis_research/article/5685/viewcontent/Law_Enforcement_Daily_Deployment_IJCAI_2019_pv.pdf |
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Institution: | Singapore Management University |
Language: | English |
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