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Predictive crime mapping model using association rule mining for crime analysis

This study focuses on developing a model of crime mapping using association rule mining for criminal based on geographical and demographic factors. It examined the occurrence of crime at a specific location. The predictive crime mapping is one of the solutions that can be used to analyse the relativ...

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Main Authors: Asmai, S. A., Rosmiza Wahida, Abdullah, Sabrina, Ahmad
Format: Article
Language:English
Published: Publications International 2014
Subjects:
QA76 Computer software
Online Access:http://eprints.utem.edu.my/id/eprint/14087/1/PID063_PredictiveCrimeMapping.pdf
http://eprints.utem.edu.my/id/eprint/14087/
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spelling my.utem.eprints.140872015-05-28T04:36:13Z http://eprints.utem.edu.my/id/eprint/14087/ Predictive crime mapping model using association rule mining for crime analysis Asmai, S. A. Rosmiza Wahida, Abdullah Sabrina, Ahmad QA76 Computer software This study focuses on developing a model of crime mapping using association rule mining for criminal based on geographical and demographic factors. It examined the occurrence of crime at a specific location. The predictive crime mapping is one of the solutions that can be used to analyse the relatively high future crime location that can improve the crime prevention implementation. However, most of the predictive crime mapping focused only on the variations of human behaviour variables without established the solution that able to find inherent regularities from geographical and demographic crime data. By understanding the pattern and particular location behaviours, the possible occurrence of crime can be predicted. Data collected from UC Irvine Machine Learning Repository (UCI) were modified by choosing only geographic and demographic attributes and were classified for training and testing. After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. Then, the result which is the testing part will able to do the prediction of the crime occurrence at certain point of location. Publications International 2014-12-05 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14087/1/PID063_PredictiveCrimeMapping.pdf Asmai, S. A. and Rosmiza Wahida, Abdullah and Sabrina, Ahmad (2014) Predictive crime mapping model using association rule mining for crime analysis. Science International-Lahore. pp. 1703-1708. ISSN 1013-5316
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Asmai, S. A.
Rosmiza Wahida, Abdullah
Sabrina, Ahmad
Predictive crime mapping model using association rule mining for crime analysis
description This study focuses on developing a model of crime mapping using association rule mining for criminal based on geographical and demographic factors. It examined the occurrence of crime at a specific location. The predictive crime mapping is one of the solutions that can be used to analyse the relatively high future crime location that can improve the crime prevention implementation. However, most of the predictive crime mapping focused only on the variations of human behaviour variables without established the solution that able to find inherent regularities from geographical and demographic crime data. By understanding the pattern and particular location behaviours, the possible occurrence of crime can be predicted. Data collected from UC Irvine Machine Learning Repository (UCI) were modified by choosing only geographic and demographic attributes and were classified for training and testing. After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. Then, the result which is the testing part will able to do the prediction of the crime occurrence at certain point of location.
format Article
author Asmai, S. A.
Rosmiza Wahida, Abdullah
Sabrina, Ahmad
author_facet Asmai, S. A.
Rosmiza Wahida, Abdullah
Sabrina, Ahmad
author_sort Asmai, S. A.
title Predictive crime mapping model using association rule mining for crime analysis
title_short Predictive crime mapping model using association rule mining for crime analysis
title_full Predictive crime mapping model using association rule mining for crime analysis
title_fullStr Predictive crime mapping model using association rule mining for crime analysis
title_full_unstemmed Predictive crime mapping model using association rule mining for crime analysis
title_sort predictive crime mapping model using association rule mining for crime analysis
publisher Publications International
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14087/1/PID063_PredictiveCrimeMapping.pdf
http://eprints.utem.edu.my/id/eprint/14087/
_version_ 1665905575446183936
score 13.211869

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