Abstract
This paper investigates the underlying patterns in data derived from the International Tobacco Control Four Country Survey. The intent of the paper is to determine which attributes have the greatest impact on smokers' plans to quit and their attempts to quit. Rule sets are derived using decision tree models and tested on temporal data sets to assess their validity and ability to generalise. Determinant attributes that can be used to implement effective tobacco control policies are identified.
Original language | English |
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Title of host publication | Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 496-501 |
Number of pages | 6 |
ISBN (Print) | 9781424429004 |
DOIs | |
Publication status | Published - 1 Dec 2008 |
Event | IEEE International Conference on Information and Automation for Sustainability 2008 - Colombo , Sri Lanka Duration: 12 Dec 2008 → 14 Dec 2008 Conference number: 4th |
Conference
Conference | IEEE International Conference on Information and Automation for Sustainability 2008 |
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Abbreviated title | ICIAfS 2008 |
Country/Territory | Sri Lanka |
City | Colombo |
Period | 12/12/08 → 14/12/08 |
Keywords
- Decision tree
- Tobacco control