Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)

Design of Crime Spatio-temporal Analysis System Based on the Police Workflow

Authors
Dong Cai, Man Lin
Corresponding Author
Dong Cai
Available Online September 2018.
DOI
10.2991/hssmee-18.2018.7How to use a DOI?
Keywords
Crime Spatio-temporal Analysis, Police Workflow, System Design.
Abstract

According to crime spatio-temporal analysis application requirements, this paper researches on the key technology of crime spatio-temporal analysis. With the key technology, crime spatio-temporal analysis system based on the police workflow is designed to provide various analysis functions, such as crime hotspot analysis, a series of crime cases temporal regional impact, criminal residence prediction, and relevance control analysis. The application of crime spatio-temporal analysis system is verified by the typical city practice.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2018
ISBN
978-94-6252-604-4
ISSN
2352-5398
DOI
10.2991/hssmee-18.2018.7How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dong Cai
AU  - Man Lin
PY  - 2018/09
DA  - 2018/09
TI  - Design of Crime Spatio-temporal Analysis System Based on the Police Workflow
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 39
EP  - 43
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.7
DO  - 10.2991/hssmee-18.2018.7
ID  - Cai2018/09
ER  -