A Novel Algorithm for Criminal Statistical Processing
Jianhui LIN, Jin Chen
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.210How to use a DOI?
- Social order trend; Criminal statistical data; profiling vector; Anomaly value
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianhui LIN AU - Jin Chen PY - 2015/06 DA - 2015/06 TI - A Novel Algorithm for Criminal Statistical Processing BT - 2015 2nd 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 - https://doi.org/10.2991/icecee-15.2015.210 ID - LIN2015/06 ER -