Mining the crime survey to support crime profiling
Conference paper
Authors | Wu, J, Meziane, F., Mohamad Saraee, Aspin, R and Hope, T |
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Type | Conference paper |
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. |
Keywords | Classification; ; Feature extraction; ; Plantar fascia (PF); ; Radial Basic Function Neural Network (RBF-NN); ; Segmentation; ; Speckle noise; ; Ultrasound (US) |
Year | 2016 |
Conference | 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
Journal | International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
Publisher | IEEE Xplore |
ISSN | 0895-6111 |
1879-0771 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/iwcim.2016.7801189 |
Web address (URL) | http://dx.doi.org/10.1109/IWCIM.2016.7801189 |
Journal citation | Vol 56, pp. 60 - 73 |
ISBN | 978-1-5090-5524-1 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/7786725/proceeding |
Output status | Published |
Publication dates | Oct 2016 |
Online | 29 Dec 2016 |
Publication process dates | |
Deposited | 05 Jun 2023 |
https://repository.derby.ac.uk/item/9z15q/mining-the-crime-survey-to-support-crime-profiling
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