Crime Detection with ICA and Artificial Intelligent Approach

Autor: Junoh, Ahmad Kadri, Mansor, Muhammad Naufal, Ya'acob, Alezar Mat, Adnan, Farah Adibah, Saad, Syafawati Ab., Yazid, Nornadia Mohd
Zdroj: Advanced Materials Research; September 2013, Vol. 816 Issue: 1 p616-622, 7p
Abstrakt: The Rise of Crime in Malaysia reported that violent crimes comprised only 10% of reported crimes each year and the majority of crimes, 90%, were classified as property crimes. However, the ratio of police to population is 3.6 officers to 1,000 citizens in Malaysia. This lack of manpower sources ratios alone are not a comprehensive afford of crime fighting capabilities. Thus, we proposed an Artificial Intelligent Techniques to determine the behaviour of the burglar with Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA) and k Nearest Neighbor (k-NN) Classifier. This system provided a good justification as a monitoring supplementary tool for the Malaysian police arm forced.
Databáze: Supplemental Index