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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pohorec, S. Verlic, M. Zorman, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Laboratory for system design, Faculty of electrical engineering and computer science, University of Maribor, Slovenia (Pohorec, S.; Verlic, M.; Zorman, M.) |
| Abstract | We present the results of a data mining research on the use of GPS positions and speed of travel of vehicles in urban areas to determine optimal travel routes for emergency vehicles. A new approach using predictive programming is presented. The approach focuses on using data mining of existing data as the key factor in the application logic where various decisions are to be made. The main appeal of such an approach is that the application logic evolves over time according to the application data. As the data changes the decisions soon follow. This gives the impression of intelligent behavior of the application. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 437775 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424448791 |
| ISSN | 10637125 |
| DOI | 10.1109/CBMS.2009.5255334 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent vehicles Global Positioning System Data mining Mobile handsets Poles and towers Logic programming Satellite navigation systems Roads Velocity measurement Earth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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