Data mining application: case of road traffic accidents in the UK West Midlands area 2000
Saraee, M, Kerry, J, Llyod, M and Markey, C 2005, Data mining application: case of road traffic accidents in the UK West Midlands area 2000 , in: 3rd European Conference on Intelligent Management Systems in Operations, 3-4 July 2005 , University of Salford.
|PDF - Published Version |
Download (236kB) | Preview
For this assignment we are aiming to use data mining techniques in the analysis of data recorded about road traffic accidents in the West Midlands Area in the year 2000. This data will then hopefully provide drivers with guidelines relating to what measures can be taken to help reduce the chances of them being injured in a road traffic accident. This analysis is therefore important in order to identify potential risks and circumstances which contribute to such accidents, and attempt to highlight measures which can be taken to minimise them. The data is currently in an unmanageable format which hinders the investigation of finding specific links between attributes. This means that no useful conclusions can be accurately drawn at present. We therefore intend to complete the analysis by using Envisioner software and classification techniques to determine attributes of high relevance within the data. Conclusions will then be drawn, helping to identify factors such as speed, weather and road conditions which contribute to an accident occurrence.
|Item Type:||Conference or Workshop Item (Paper)|
|Themes:||Built and Human Environment|
Health and Wellbeing
|Schools:||Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre|
|Journal or Publication Title:||Proceedings of 3rd European Conference on Intelligent Management Systems in Operations|
|Depositing User:||Dr Mo Saraee|
|Date Deposited:||07 Nov 2011 11:45|
|Last Modified:||20 Aug 2013 18:17|
Document DownloadsMore statistics for this item...
Actions (login required)
|Edit record (repository staff only)|