Mining the crime survey to support crime profiling

Wu, J; Meziane, F; Saraee, MH; Aspin, R; Hope, T

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.

Citation

Wu, J., Meziane, F., Saraee, M., Aspin, R., & Hope, T. (2016, October). Mining the crime survey to support crime profiling. Presented at 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), Reggio Calabria, Italy

• Presentation Conference Type: Other
• Conference Name: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)
• Conference Location: Reggio Calabria, Italy
• Start Date: Oct 27, 2016
• End Date: Oct 28, 2016
• Online Publication Date: Dec 29, 2016
• Publication Date: Dec 29, 2016
• Deposit Date: Jul 19, 2017
• Book Title: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)
• ISBN: 9781509055241;-9781509055234;-9781509055258
• DOI: https://doi.org/10.1109/IWCIM.2016.7801189
• Publisher URL: http://dx.doi.org/10.1109/IWCIM.2016.7801189
• Related Public URLs: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7786725; http://www.proceedings.com/32833.html
• Additional Information: Additional Information : Published in print by Curran Associates; Event Type : Conference; Projects : A Profiler for Crime, Justice and Social Harm