Parallel Model of Forecasting Killer Residence and Place of Crime

Author

Qu, Jing ; Zheng, Chuanjian ; Zhao, Weiming ; Wang, Xing ; Zhang, Shesheng

Author_Institution

Math. Modeling Assoc., Wuhan Univ. of Technol., Wuhan, China

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

228

Lastpage

230

Abstract

A parallel model is given to forecast killer residence and place of crime. According to the circle cover method, we derive normal distribution of perpetrators radius, and forecast the center coordinates of the greatest probability of offender accommodation. The parallel Markov model is formulated by using transition probability of two adjacent sites of crime commitment. After respectively calculating, we obtain the various probabilities of locations of the next crime and get their targets area. The results of example show our method can be used in practice to predict killer residence and place of next crime.

Keywords

Markov processes; forecasting theory; normal distribution; police data processing; circle cover method; crime commitment; forecasting killer residence; normal distribution; offender accommodation; parallel Markov model; perpetrators radius; transition probability; Business; Distributed computing; killer; normal distribution; parallel model;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-7539-1

Type

conf

DOI

10.1109/DCABES.2010.146

Filename

5572283