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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICYCSEE 2016: Social Computing pp 632–640Cite as

Specific Data Mining Model of Massive Health Data

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

Abstract

The mining of massive medicine data is one of the most widely problem in our world. However, it’s efficiency and accuracy are still not satisfactory. Many traditional mining algorithms which calculate repeatedly to reduce the dependence between data always ignore the correlation between them. To improve the effect of diagnosis, we extract some special features by conducting a preliminary classification and identification. Then, the specific characteristics of various medical data is mined by correlation mining method. The simulation experimental results demonstrate the validity of the improved algorithm.

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Author information

Authors and Affiliations

  1. School of Software and Applied Technology, Zhengzhou University, 97 Wenhua Road, Jinshui District, Zhengzhou, 450002, Henan Province, People’s Republic of China

    Cuixia Li, Shuyan Zhang & Dingbiao Wang

Authors
  1. Cuixia Li
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  2. Shuyan Zhang
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  3. Dingbiao Wang
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Corresponding author

Correspondence to Cuixia Li .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology , Harbin, China

    Wanxiang Che

  2. Harbin Engineering University , Harbin, China

    Qilong Han

  3. Harbin Institute of Technology , Harbin, China

    Hongzhi Wang

  4. Northeast Forestry University , Harbin, China

    Weipeng Jing

  5. National University of Defense Technology , Changsha, China

    Shaoliang Peng

  6. Harbin Engineering University , Harbin, China

    Junyu Lin

  7. Harbin Univ. of Science and Technology , Harbin, China

    Guanglu Sun

  8. Harbin Univ. of Science and Technology , Harbin, China

    Xianhua Song

  9. Harbin Engineering University , Harbin, China

    Hongtao Song

  10. Harbin Sea of Clouds & Computer Tech. , Harbin, China

    Zeguang Lu

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© 2016 Springer Science+Business Media Singapore

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Cite this paper

Li, C., Zhang, S., Wang, D. (2016). Specific Data Mining Model of Massive Health Data. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_56

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_56

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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