A Novel Algorithm for Criminal Statistical Processing

DOI

10.2991/icecee-15.2015.210How to use a DOI?

Keywords

Social order trend; Criminal statistical data; profiling vector; Anomaly value

Abstract

Social order tendency analysis is studied based on intensive probe to present criminal information research jobs. The phenomenon of “routine fluctuation” and “warning fluctuation” in the field of social public order is extensively studied. An urban crime distribution vector generation algorithm, which based on exponential attenuation, is generated by combining the historic statistic data and with the present one. a Composite Statistic Profiling-Vector Hypothesis-test Algorithm, consist of a system anomaly testing expression and a corresponding referenced anomaly testing expression, is presented to exam the present statistics value set, thus social system anomaly index is obtain. Prototype system and experiment results show its precision and credibility.

Copyright

© 2015, 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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TY  - CONF
AU  - Jianhui LIN
AU  - Jin Chen
PY  - 2015/06
DA  - 2015/06
TI  - A Novel Algorithm for Criminal Statistical Processing
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1115
EP  - 1120
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.210
DO  - 10.2991/icecee-15.2015.210
ID  - LIN2015/06
ER  -