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
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;
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
Print_ISBN :
978-1-4799-7731-4
DOI :
10.1109/ICTER.2014.7083923
