Crime detection with DCT and artificial intelligent approach

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Main Authors:	Ahmad Kadri, Junoh, Muhammad Naufal, Mansor, Alezar, Mat Ya'acob, Farah Adibah, Adnan, Syafawati, Ab. Saad, Nornadia, Mohd Yazid
Other Authors:	kadri@unimap.edu.my
Format:	Article
Language:	English
Published:	Trans Tech Publications 2014
Subjects:	Crime rate Discrete cosine transform K-Nearest Neighbor Support Vector Machine (SVM)
Online Access:	http://dspace.unimap.edu.my:80/dspace/handle/123456789/33874
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-33874
record_format	dspace
spelling	my.unimap-338742014-04-21T04:14:45Z Crime detection with DCT and artificial intelligent approach 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 Crime rate Discrete cosine transform K-Nearest Neighbor Support Vector Machine (SVM) Link to publisher's homepage at http://www.ttp.net/ Crime rate in Malaysia is almost in awareness stage. The centre for Public Policy Studies Malaysia reports that 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, dealing with these circumstances, we present a comprehensive study to determine bandit behavior with Discrete Cosine Transform (DCT), Support vector machine (SVM) and k Nearest Neighbor (k-NN) Classifier. This system provided a good justification as a monitoring supplementary tool for the Malaysian police arm forced. 2014-04-21T04:14:45Z 2014-04-21T04:14:45Z 2013 Article Advanced Materials Research, vol. 816-817, 2013, pages 610-615 978-303785867-7 1022-6680 http://www.scientific.net/AMR.816-817.610 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33874 en Trans Tech Publications
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Crime rate Discrete cosine transform K-Nearest Neighbor Support Vector Machine (SVM)
spellingShingle	Crime rate Discrete cosine transform K-Nearest Neighbor Support Vector Machine (SVM) Ahmad Kadri, Junoh Muhammad Naufal, Mansor Alezar, Mat Ya'acob Farah Adibah, Adnan Syafawati, Ab. Saad Nornadia, Mohd Yazid Crime detection with DCT and artificial intelligent approach
description	Link to publisher's homepage at http://www.ttp.net/
author2	kadri@unimap.edu.my
author_facet	kadri@unimap.edu.my Ahmad Kadri, Junoh Muhammad Naufal, Mansor Alezar, Mat Ya'acob Farah Adibah, Adnan Syafawati, Ab. Saad Nornadia, Mohd Yazid
format	Article
author	Ahmad Kadri, Junoh Muhammad Naufal, Mansor Alezar, Mat Ya'acob Farah Adibah, Adnan Syafawati, Ab. Saad Nornadia, Mohd Yazid
author_sort	Ahmad Kadri, Junoh
title	Crime detection with DCT and artificial intelligent approach
title_short	Crime detection with DCT and artificial intelligent approach
title_full	Crime detection with DCT and artificial intelligent approach
title_fullStr	Crime detection with DCT and artificial intelligent approach
title_full_unstemmed	Crime detection with DCT and artificial intelligent approach
title_sort	crime detection with dct and artificial intelligent approach
publisher	Trans Tech Publications
publishDate	2014
url	http://dspace.unimap.edu.my:80/dspace/handle/123456789/33874
_version_	1643797321963536384

Crime detection with DCT and artificial intelligent approach

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