Mining the crime survey to support crime profiling

Wu, J, Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914, Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912, Aspin, R ORCID: https://orcid.org/0000-0002-2202-1326 and Hope, T 2016, Mining the crime survey to support crime profiling , in: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 27-28 October 2016, Reggio Calabria, Italy.

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Abstract

Crime surveys are conducted to record crimes by the Office for National Statistics (ONS) in the United Kingdom every year. They contain rich information about crime. They record the crimes that are not reported to the police. However, their exploitation for gaining a better understanding of crime activities is limited. When used, traditional statistical models and descriptive statistics are adopted. The data they contain is very complex and changes from one year to the other. In this paper, we report the preprocessing activities that were performed on survey data to allow their use with data mining models. We reported the results of early analysis of the survey data using decision trees and the users' interpretation of these results.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Published in print by Curran Associates
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM),
Publisher:	IEEE
ISBN:	9781509055241; 9781509055234; 9781509055258
Related URLs:	Publication Publisher
Funders:	Economic and Social Research Council (ESRC)
Depositing User:	Prof. Mo Saraee
Date Deposited:	19 Jul 2017 14:57
Last Modified:	15 Feb 2022 22:14
URI:	https://usir.salford.ac.uk/id/eprint/43090

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