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Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity

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  • Sugam Sharma

    (Iowa State University, Ames, IA, USA)

Abstract

Association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze correlations and associations between items in a set. Market basket analysis is one such, possibly the most popular technique in business domain that is used to analyze combinations of items that often are listed together in various transactions. In this paper, the author strives to expand applicability of the same concept to human health under purview of health informatics. The present growing rate of obesity has raised alarming concept to the communities globally. It entails several chronic diseases that may be fatal eventually. This work aims to aid in the ongoing efforts to alleviate the obesity, primarily caused by lack of physical exercise. Concept of association rule of data mining may help regulating mild exercise by associating it with a daily activity, sleeping at night. Mild but regular short exercise just before sleep may help ameliorating individual's health.

Suggested Citation

  • Sugam Sharma, 2017. "Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 7(2), pages 1-18, April.
    • Handle: RePEc:igg:jirr00:v:7:y:2017:i:2:p:1-18
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