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

机译:数据挖掘的关联规则概念有助于缓解肥胖症

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摘要

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.
机译:众所周知,数据挖掘的关联规则涵盖了一系列旨在揭示和分析集合中项目之间的关联和关联的智能技术。市场篮子分析就是这样一种,可能是商业领域中最流行的技术,用于分析经常在各种交易中一起列出的项目组合。在本文中,作者致力于在健康信息学的范围内将相同概念的适用范围扩展到人类健康。当前肥胖率的增长已经向全球社区提出了令人震惊的概念。它涉及几种可能最终致命的慢性疾病。这项工作旨在帮助正在进行的减轻肥胖症的努力,肥胖症的主要原因是缺乏运动。数据挖掘的关联规则的概念可能通过将其与日常活动,夜间睡眠相关联来帮助调节轻度运动。睡觉前进行轻度但有规律的短期运动可能有助于改善个人的健康。

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