Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IWCIM.2016.7801189 | 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
Keywords | DocType | ISBN |
data mining,crime survey,decision tree,imbalanced data,feature selection | Conference | 978-1-5090-5525-8 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Wu | 1 | 0 | 0.34 |
| Farid Meziane | 2 | 308 | 37.98 |
| Mohamed Saraee | 3 | 0 | 0.34 |
| Rob Aspin | 4 | 97 | 12.40 |
| Timothy Hope | 5 | 0 | 0.34 |