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Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems.

, , and . PACIS, page 26. AISeL, (2010)

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Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour., , , , , , , , and . IDEAL, volume 5326 of Lecture Notes in Computer Science, page 210-216. Springer, (2008)Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems., , and . PACIS, page 26. AISeL, (2010)Discriminative Cues for Different Stages of Smoking Cessation in Online Community., , , , , and . WISE (2), volume 10042 of Lecture Notes in Computer Science, page 146-153. (2016)Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy., , and . NSS, page 383-390. IEEE Computer Society, (2010)Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network., , , , , , and . Expert Syst. Appl., 38 (6): 6430-6438 (2011)Trajectories of Engagement and Disengagement with a Story-Based Smoking Cessation App., , , , and . CHI, page 3045-3056. ACM, (2017)"heh - keeps me off the smokes...": probing technology support for personal change., , , , , and . OZCHI, volume 206 of ACM International Conference Proceeding Series, page 221-228. ACM, (2006)What people talk about when they talk about quitting., , , , , , and . OZCHI, page 388-391. ACM, (2014)Identifying Tobacco Control Policy Drivers: A Neural Network Approach., , , , , , and . ICONIP (2), volume 5864 of Lecture Notes in Computer Science, page 770-776. Springer, (2009)Patterns of support in an online community for smoking cessation., , , , and . C&T, page 26-35. ACM, (2013)