A Rule Based Approach to Modeling the Effect of Tobacco Control Policies

被引：0

作者：

Ding, Xiajiang ^{[1
]}

Bedingfield, Susan ^{[1
]}

Yeh, Chung. Hsing ^{[1
]}

Petrovic-Lazarevic, Sonja ^{[2
]}

Coghill, Ken ^{[2
]}

Zhang, Jian Ying ^{[2
]}

Borland, Ron ^{[3
]}

Young, David ^{[3
]}

机构：

[1] Monash Univ, Clayton Sch Informat Technol, Clayton, Vic 3800, Australia

[2] Monash Univ, Dept Management, Clayton, Vic, Australia

[3] Canc Council Victoria, VicHealth Ctr Tobacco Control, Melbourne, Vic, Australia

来源：

2008 4TH INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION FOR SUSTAINABILITY (ICIAFS) | 2008年

关键词：

tobacco control; decision tree;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：227 / +

页数：3

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