Investigating Tobacco Usage Habits Using Data Mining Approach

Authors

  • Toni Martinović Faculty of Economics and Business Zagreb, Croatia

Keywords:

smokers, habits, tobacco, cigarettes, data mining, WEKA, J48 algorithm, decision trees

Abstract

What are smokers’ habits today? Do people rather enjoy cigarettes or rolling tobacco? The research made for this study is going to give us the answer on these questions. The main reason which determines smokers’ habits is their lifestyle, e.g. it depends whether they are providing enough money for cigarettes because rolling tobacco is noticeable cheaper. The research is fulfilled by participants of different years, employment status and other lifestyle habits. The research will present the smoking habits of respondents conducted through data mining. The data are processed in the Weka software with the help of a decision tree method - to be precise, the J48 algorithm.

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

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Published

2015-10-31

How to Cite

Martinović, T. (2015). Investigating Tobacco Usage Habits Using Data Mining Approach. ENTRENOVA - ENTerprise REsearch InNOVAtion, 1(1), 87–93. Retrieved from https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/14389

Issue

Section

Microeconomics