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Title: | Crime Detection with ICA and artificial intelligent approach |
Authors: | Ahmad Kadri, Junoh Muhammad Naufal, Mansor Alezar, Mat Ya'acob Farah Adibah, Adnan Syafawati, Ab. Saad Nornadia, Mohd Yazid kadri@unimap.edu.my apairia@yahoo.com alezar@unimap.edu.my farahadiba@unimap.edu.my syafawatisaad@unimap.edu.my nornadia_mohdyazid@yahoo.com |
Keywords: | Crime rate Independent component analysis Linear discriminant analysis k-Nearest Neighbor |
Issue Date: | 2013 |
Publisher: | Trans Tech Publications |
Citation: | Advanced Materials Research, vol. 816-817, 2013, pages 616-622 |
Abstract: | 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. |
Description: | Link to publisher's homepage at http://www.ttp.net/ |
URI: | http://www.scientific.net/AMR.816-817.616 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33876 |
ISBN: | 978-303785867-7 |
ISSN: | 1022-6680 |
Appears in Collections: | Institute of Engineering Mathematics (Articles) |
Files in This Item:
File | Description | Size | Format | |
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Crime Detection with ICA and artificial intelligent approach.pdf | 9.44 kB | Adobe PDF | View/Open |
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