A Healthy Big Data Classification Model Based on Improved Bayesian Network

doi:10.3969/j.issn.1006-2475.2017.12.012

Computer and Modernization ›› 2017, Vol. 0 ›› Issue (12): 61-64.doi: 10.3969/j.issn.1006-2475.2017.12.012

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A Healthy Big Data Classification Model Based on Improved Bayesian Network

(1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;  2. Dongguan Chengdian Gold Plate Software Technology Co. Ltd., Dongguan 523808, China; 3. Huaxi Matenity and Child Hospital of Sichuan University, Chengdu 610041, China; 4. Guangdong Electronic Information Engineering Research Institute, University of Electronic Science and Technology of China, Dongguan 523808, China)

Received:2017-04-18 Online:2017-12-25 Published:2017-12-26

Abstract

Abstract: Bayesian network is a research hotspot in the field of data mining. It is an effective tool for the determination of the uncertain dependencies. This paper studies the advantages and disadvantages of the traditional Bayesian network structure learning algorithm, and determines the dependencies among the various health attributes in the data set, establishes the network structure of dependency relation between related attributes. Finally, the network structure is used to automatically classify the data in the data set. Experiments show that the health big data classification model based on Bayesian network has a good performance and achieves the expected effect.

Key words: healthy big data, Bayesian network, uncertainty dependence, classification model

CLC Number:

TP181

LIANG Cong1,2, LIAO Xin 3, ZHENG Xin1, CHEN Lei-ting1,4. A Healthy Big Data Classification Model Based on Improved Bayesian Network[J]. Computer and Modernization, 2017, 0(12): 61-64.

References

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A Healthy Big Data Classification Model Based on Improved Bayesian Network

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