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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

Trace elements Diabetes Data Mining Association Rules

Author Community:

  • [ 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

Reprint Author's Address:

  • 朱青

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

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Source :

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

Year: 2015

Page: 768-772

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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