DocumentCode
3585844
Title
Criminal shortlisting and crime forecasting based on modus operandi
Author
Munasinghe, Malith ; Udeshini, Shanika ; Perera, Harsha ; Weerasinghe, Ruvan
Author_Institution
Sch. of Comput., Univ. of Colombo, Colombo, Sri Lanka
fYear
2014
Firstpage
265
Lastpage
265
Abstract
Crime detection and prevention is a very crucial wok which is in the hands of police, law enforcement agencies and local government. Experts in crime analyzing use crime scene evidences to capture unique ways a criminal has acted during a crime, which is also called as Modus Operandi(MO). Using MO as the main focus, the efforts taken in this research is to shortlist and predict criminals and criminal activities with the support of machine learning based algorithms.
Keywords
criminal law; forecasting theory; learning (artificial intelligence); local government; police data processing; MO; crime detection; crime forecasting; crime prevention; crime scene evidences; criminal shortlisting; law enforcement agencies; local government; machine learning based algorithms; modus operandi; police; Accuracy; Clustering algorithms; Feature extraction; Forecasting; Joining processes; Machine learning algorithms; Prediction algorithms; Criminal Profiling; Machine Learning; Modus Operandi;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
Print_ISBN
978-1-4799-7731-4
Type
conf
DOI
10.1109/ICTER.2014.7083923
Filename
7083923
Link To Document