朝着健康的营养饮食模式发展

Chendong Li
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引用次数: 3

摘要

关联规则挖掘是数据挖掘中的一种流行技术,具有极其广泛的应用领域。本文研究了关联规则挖掘问题,提出了一种级联的方法来提取有趣的健康营养饮食模式。我们的方法主要基于aprio -ori算法和规则演绎技术。为了验证新方法的可行性和有效性,我们利用美国农业部食品和营养数据库3.0版的数据进行了一系列实验。实验结果表明,该方法可以成功地提取出许多有趣的健康营养饮食模式。还有一些重要的模式是以前不知道的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards the healthy nutritional dietary patterns
Association rule mining is a popular technique in data mining and it has an extremely wide application area. In this paper, we study the association rule mining problem and propose a cascaded approach to extract the interesting healthy nutritional dietary patterns. Our approach is mainly based on the Apri-ori algorithm and rule deduction techniques. To test the feasibility and effectiveness of the new approach, we conduct series of experiments with the data obtained from the U. S. Department of Agriculture Food and Nutrient Database for Dietary Studies 3.0. Our experimental results demonstrate that the proposed approach can successfully extract many interesting healthy nutritional dietary patterns. Also some important patterns are unknown before.
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