Improved Algorithm of Mining Association Rules in Nutrition Catering System of Diabetes

被引：0
|
作者：
Zhu, Qing [1 ]
Zhang, Yundu [1 ]
机构：
[1] Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
来源：
4TH INTERNATIONAL CONFERENCE ON MECHANICAL AUTOMATION AND MATERIALS ENGINEERING (ICMAME 2015) | 2015年
关键词：
Diabetes; Data Mining; Trace elements; Association Rules;
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 introduces association rules mining in data mining, improves classical Apriori algorithm, and uses it into mining the relationship of trace elements of diabetes. The whole process includes: data collection, data preprocessing, data mining and result analysis. This paper introduces each above mentioned step, analyze the result in detail and effectively use mining results into nutrition catering system of diabetes in order to help people eat healthily and keep them far away from risks of diabetes.
引用
收藏
页码：768 / 772
页数：5
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