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Xiao-Jiang Ding, Susan Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Jian-Ying Zhang, Sonja Petrovic-Lazarevic, Ken Coghill. A Decision Tree Approach for Predicting Smokers' Quit Intentions[J]. Journal of Electronic Science and Technology, 2008, 6(3): 284-288.
Citation: Xiao-Jiang Ding, Susan Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Jian-Ying Zhang, Sonja Petrovic-Lazarevic, Ken Coghill. A Decision Tree Approach for Predicting Smokers' Quit Intentions[J]. Journal of Electronic Science and Technology, 2008, 6(3): 284-288.
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A Decision Tree Approach for Predicting Smokers' Quit Intentions

  • 1.

    Clayton School of Information Technology,Monash University,Victoria,3800,Australia;

  • 2.

    VicHealth Centre for Tobacco Control,The Cancer Council Victoria,Victoria,3053,Australia;

  • 3.

    Department of Management,Caulfield Campus,Monash University,Victoria,3145,Australia

More Information
  • Author Bio:

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

    Xiao-Jiang Ding research interests include modelling techniques for classification, Xiaojiang.Ding@infotech.monash.edu.au;
    Susan Bedingfield, Sue.Bedingfield@infotech.monash.edu.au;
    Chung-Hsing Yeh, ChungHsing.Yeh@infotech.monash.edu.au;
    Ron Borland, Ron.Borland@cancervic.org.au;
    David Young, David.Young@cancervic.org.au;
    Jian-Ying Zhang, Jianying.Zhang@buseco.monash.edu.au;
    Sonja Petrovic-Lazarevic, Sonja.PetrovicLazarevic@buseco.monash.edu.au;
    Ken Coghill, Ken.Coghill@buseco.monash.edu.au

  • Received Date: 2008-06-19
  • Rev Recd Date: 2008-07-15
  • Publish Date: 2008-09-24
    Abstract
  • This paper presents a decision tree approach for predicting smokers' quit intentions using the data from the International Tobacco Control Four Country Survey. Three rule-based classification models are generated from three data sets using attributes in relation to demographics, warning labels, and smokers' beliefs. Both demographic attributes and warning label attributes are important in predicting smokers' quit intentions. The model's ability to predict smokers' quit intentions is enhanced, if the attributes regarding smokers' internal motivation and beliefs about quitting are included.
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