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作者:

Zhu, Qing (Zhu, Qing.) (学者:朱青) | Zhang, Yundu (Zhang, Yundu.)

收录:

CPCI-S

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.

关键词:

Association Rules Data Mining Diabetes Trace elements

作者机构:

  • [ 1 ] [Zhu, Qing]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 2 ] [Zhang, Yundu]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China

通讯作者信息:

  • 朱青

    [Zhu, Qing]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China

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来源 :

4TH INTERNATIONAL CONFERENCE ON MECHANICAL AUTOMATION AND MATERIALS ENGINEERING (ICMAME 2015)

年份: 2015

页码: 768-772

语种: 英文

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