Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

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Strategy Model Based on Geographic Profiling

Authors
Na Wang, Xinshe Qi, Guo Li, Jing Li
Corresponding Author
Na Wang
Available Online November 2018.
DOI
10.2991/cimns-18.2018.44How to use a DOI?
Keywords
spatial distribution strategy; probability distance strategy; crime prediction
Abstract

In order to generate a geographical profile, based on the spatial distribution theory and the probability distance theory, two strategy models are established. At the same time, we also analyze the complexity and the accuracy of these models.

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 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
978-94-6252-620-4
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.44How 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

risenwbib
TY  - CONF
AU  - Na Wang
AU  - Xinshe Qi
AU  - Guo Li
AU  - Jing Li
PY  - 2018/11
DA  - 2018/11
TI  - Strategy Model Based on Geographic Profiling
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 196
EP  - 198
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.44
DO  - 10.2991/cimns-18.2018.44
ID  - Wang2018/11
ER  -