DocumentCode :
3545108
Title :
Analysing offender´s attributes in the event of robbery by using microsimulation model
Author :
Hussain, K. Zakir ; Durairaj, M. ; Farzana, G. Rabia Jahani
Author_Institution :
Dept. of CSE, Bharathidasan Univ., Tiruchirappalli, India
fYear :
2012
fDate :
23-25 Aug. 2012
Firstpage :
18
Lastpage :
21
Abstract :
Criminology is an area that focuses the scientific study of crime and the person´s attributes and it is a process that aims to identify the attributes which leads to commit violent crime. This paper aims to build a micro simulation model for predicting and simulating different types of robbery by developing a crime module and by extracting information that could be used to build equations for designing a crime module interlinked with microsimulation model. This would further help the crime investigators to have a better understanding of an offender within few seconds. This will also pave way for social rehabilitation of an offender and prevent re-offending.
Keywords :
Monte Carlo methods; information retrieval; knowledge acquisition; police data processing; social sciences computing; Monte Carlo simulation; attribute identification; crime module; criminology; information extraction; knowledge acquisition task; microsimulation model; offender attribute analysis; robbery event; robbery prediction; robbery simulation; social rehabilitation; violent crime; Aggregates; Analytical models; Education; Employment; Indexes; Predictive models; Forecasting and Monte Carlo Simulation; Robbery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4673-2045-0
Type :
conf
DOI :
10.1109/ICACCCT.2012.6320726
Filename :
6320726
Link To Document :
بازگشت