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
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33874
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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
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score 13.222552